THE RELATIONSHIP BETWEEN ACADEMIC OPTIMISM AND ALABAMA'S ACCOUNTABILITY MEASURES IN A SELECTION OF TITLE I HIGH SCHOOLS THROUGHOUT ALABAMA PDF Free Download

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THE RELATIONSHIP BETWEEN ACADEMIC OPTIMISM AND ALABAMA'S ACCOUNTABILITY MEASURES IN A SELECTION OF TITLE I HIGH SCHOOLS THROUGHOUT ALABAMA PDF Free Download

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THE RELATIONSHIP BETWEEN ACADEMIC OPTIMISM AND ALABAMA’S
ACCOUNTABILITY MEASURES IN A SELECTION OF TITLE I HIGH SCHOOLS
THROUGHOUT ALABAMA
by
SHAYLA CRENSHAW MCCRAY
JINGPIN SUN, CHAIR
KAREN ANDERSON
BOB JOHNSON
MARGARET RICE
SONJA HARRINGTON WESTON
A DISSERTATION
Submitted in partial fullfillment of the requirements
for the degree of Doctor of Education
in the Department of Educational Leadership, Policy, and Technology Studies
in the Graduate School of
The University of Alabama
TUSCALOOSA, ALABAMA
2022
Copyright Shayla Crenshaw McCray 2022
ALL RIGHTS RESERVED
ii
ABSTRACT
With school systems facing a trend of accountability mandates, the need for an evidence-
based construct that subdues socioeconomic status has grown. Indeed, academic optimism has
been proven to prevail over socioeconomic status. Academic optimism consists of uniting three
reciprocal properties: collective efficacy, faculty trust of students and parents, and academic
emphasis. There has been a tremendous need to examine the relationship between academic
optimism and student achievement in high schools in Alabama. Alabama’s high schools have
been identified most frequently on the Failing Schools List and generally possess lower Alabama
State Department of Education Report Card scores in comparison to elementary and middle
schools. This quantitative study examined the relationship between academic optimism and the
Failing Schools List. This study also examined the relationship and independent contributions
between academic optimism and a segment of the Alabama State Department of Education’s
Report Card Indicators for high schools: career readiness scores (CCR), graduation rate, and
student achievement (11th graders math and ELA ACT with Writing scores - 2019) in selected
Title I high schools throughout Alabama. The School Academic Optimism Survey (SAOS) was
distributed to teachers in 60 Title I High schools. In regard to summative ACT-English Language
Arts with Writing, the assumption of multicollinearity was not met. Also, there was not a
significant independent contribution from any of academic optimism’s subcomponents and the
Failing Schools List, college and career readiness scores, graduation rate, and academic
achievement on the summative ACT assessment. However, data analysis revealed a positive
relationship between academic optimism and the Failing Schools List, despite socioeconomic
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status. A positive relationship existed between academic optimism and college and career
readiness scores, graduation rate, and summative math ACT with Writing achievement scores.
This study can serve as a resource for leaders and educators expected to conquer accountability
mandates and successfully graduate students College and Career Ready in Title I high schools
throughout Alabama.
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DEDICATION
This research is dedicated to my parents, who are both retired educators. My parents,
Attorney Danny West Crenshaw and Mrs. Bennie Ruth Crenshaw (former Selma City
Councilwoman for Ward 7 for 20 consecutive years) taught me the importance of serving God,
giving selflessly, and loving others. I would like to dedicate this paper to my family, including
my son and husband. Robert McCray V, this research serves as evidence that you can do all
things through Christ who strengthens you. Most essentially, I would like to dedicate this paper
to my Alpha and Omega, Jesus Christ, who gave me the strength and resources to complete this
assignment. I give all praise to Jehovah! God kept me through dangers seen and unseen. Last, I
would like to dedicate my work regarding academic optimism to high schools in low
socioeconomic communities in order to enhance school leveled characteristics that have been
proven to promote student achievement and success throughout the nation, despite poverty.
v
ACKNOWLEDGMENTS
First, I would like to acknowledge and thank God Almighty. God confirmed that the race
is not given to the swift but to the one that endures to the end. Many individuals were
instrumental in assisting me throughout my educational journey to obtain my doctoral degree. I
would like to thank my Dissertation Chair, Dr. Jingping Sun, for continuously assisting me in
pressing forward. I would also like to thank my professor and Dissertation Member, Dr. Bob
Johnson, who inspired me to think critically beyond limitations. Further, I would like to thank
my Dissertation Member Dr. Karen Anderson, a true servant leader throughout the Alabama
State Department of Education. A special thank you to my Alabama State University research
professor and Dissertation Member, Dr. Sonja Harrington Weston, who encouraged me to
diligently dive into the research and data. I gained a rapport with my Dissertation Member, Dr.
Margaret Rice, through Dr. Richard Rice, my former professor; I sincerely thank Dr. Margaret
Rice and Dr. Richard Rice for their expertise and support.
Mrs. Bennie Crenshaw, Attorney Danny Crenshaw, and Dr. Daryl Crenshaw, I love you.
Thank you for your support and unyielding love. I want to thank Mr. Robert McCray IV, and
Robert McCray V, for believing in me and loving me unconditionally. To the remainder of my
family, thank you for praying for me and reminding me to stay the course. Attorney Dawn
Oliver, Ms. Tamara Young, Dr. Alice Jackson, Ms. Shanta Johnson, Mrs. Delray Powell, Mrs.
Beverly Chappell, Ms. Felecia Smith, and Ms. Vivian Rhodes, I thank you for continuously
stepping in, giving me sisterly love, and encouraging me to be who God has called me to be. To
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a number of prayer warriors throughout Selma, Alabama, Greene County, Alabama, and
Bessemer, Alabama, thank you. Pastor Brenda Tyus, Pastor Curtis Doleman, Pastor Eunice
Pickens, and Bishop L. Spenser Smith and the Impact Nation Fellowship Church Family, thank
you so much. Spiritual friends and leaders, thank you! To Selma High School, Tuskegee
University, Alabama State University, and Vermont Law School, thank you. You molded me. To
Mrs. Athelstein Johnson, Dr. Hyacinth Findlay, Dr. Gwendolyn King, and the late Dr. Gayla
Okeke, I would not have gained a passion for writing but for you. You challenged me to write,
think, and dream without constraint. I thank you. I offer a tribute to Dr. Autumm Jeter (my
present Superintendent) and Dr. Daniel Boyd (my former Superintendent and the former Deputy
Superintendent for the State of Alabama Department of Education). You are exceptional,
innovative leaders who have prepared and inspired me to persevere in order to make a difference
in the lives of all children. I thank God for you, and I will never forget you.
I offer a special tribute to my mentor, my Soror, the legend and late Ms. Ella Bell (former
State Board of Education Member, District 5), who stood for me and gave me a sense of
confidence and a passion for positively touching the lives of disenfranchised children. I will
forever love and cherish Ms. Ella Bell, who made a significant impact on my life. Thank you,
Delta Sigma Theta Sorority, Inc. Alabama State License Plate Scholarship Committee, including
Soror Deborah Anthony, and the University of Alabama Educational Scholarship Committee,
including Dr. Rebecca Blanchard, for supporting my vision by providing me with scholarship
funds. Last, thank you, Mr. Nathaniel H. Shannon IV! You were my guiding light in the world of
statistics. Thank you for motivating me and sticking with me to the very end.
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TABLE OF CONTENTS
ABSTRACT .................................................................................................................................... ii
DEDICATION ............................................................................................................................... iv
ACKNOWLEDGMENTS .............................................................................................................. v
LIST OF TABLES .......................................................................................................................... x
LIST OF FIGURES ....................................................................................................................... xi
CHAPTER ONE: INTRODUCTION ............................................................................................. 1
Background ............................................................................................................................. 1
Title I Schools in Alabama...................................................................................................... 1
Statement of the Problem ........................................................................................................ 3
Purpose of the Study ............................................................................................................... 5
Theoretical Foundation ........................................................................................................... 5
Research Questions ................................................................................................................. 7
Assumptions ............................................................................................................................ 8
Significance of the Study ...................................................................................................... 10
Definition of Terms ............................................................................................................... 11
CHAPTER TWO: REVIEW OF THE LITERATURE ................................................................ 14
Federal Accountability’s Impact on Local Schools Throughout the Nation ........................ 14
Alabama’s Academic Standards ........................................................................................... 17
Alabama Accountability Act (AAA) of 2013 ....................................................................... 19
Accountability-Alabama Department of Education Report Card ......................................... 21
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College and Career Readiness (CCR) ................................................................................... 22
Graduation Rate .................................................................................................................... 23
Academic Achievement ........................................................................................................ 23
Theory School Effectiveness Movement .............................................................................. 24
Academic Optimism ............................................................................................................. 25
Impact of Academic Optimism on Schools .......................................................................... 26
Academic Emphasis .............................................................................................................. 29
Impact of Academic Emphasis on Schools ........................................................................... 30
Collective Efficacy ................................................................................................................ 31
Impact of Collective Efficacy on Schools............................................................................. 32
Faculty Trust in Parents and Students ................................................................................... 33
The Impact of Trust on Schools ............................................................................................ 35
CHAPTER THREE: RESEARCH DESIGN AND METHODOLOGY ...................................... 37
The Research Design ............................................................................................................ 37
Participants ............................................................................................................................ 38
Data Collection Procedures ................................................................................................... 39
Accountability Instrumentation and Measures ..................................................................... 42
SAOS Instrumentation and Measures ................................................................................... 43
Data Analysis ........................................................................................................................ 45
CHAPTER FOUR: RESULTS ..................................................................................................... 50
Overview ............................................................................................................................... 50
Descriptive Statistics ............................................................................................................. 50
Findings ................................................................................................................................. 52
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Variables Relationship to Academic Optimism .................................................................... 58
CHAPTER FIVE: DISCUSSION ................................................................................................. 59
Overview ............................................................................................................................... 59
Discussion ............................................................................................................................. 60
Implications for Further Research......................................................................................... 65
Implications for District Leaders .......................................................................................... 66
Implications for School Leaders ........................................................................................... 68
Implications for Teachers ..................................................................................................... 69
Implications for Policymakers .............................................................................................. 70
Delimitations ......................................................................................................................... 71
Limitations ............................................................................................................................ 72
Conclusion ............................................................................................................................ 72
REFERENCES ............................................................................................................................. 74
Appendix A: School Academic Optimism Survey (SAOS) ......................................................... 81
Appendix B: IRB Approval .......................................................................................................... 96
Appendix C: Superintendent’s Recruitment Letter ....................................................................... 97
Appendix D: Principal’s Letter Seeking Support ....................................................................... 100
Appendix E: IRB Amended Approval ........................................................................................ 101
x
LIST OF TABLES
Table 1. Academic Achievement ELA Weight and Proficiency .................................................. 24
Table 2. Academic Achievement Math Weight and Proficiency ................................................. 24
Table 3. SAOS Teacher Response Rate Per School ..................................................................... 41
Table 4. School Academic Optimism (SAOS) and Interpretation ................................................ 45
Table 5. Research Questions and Statistical Tests ........................................................................ 46
Table 6. Descriptive Statistics....................................................................................................... 51
Table 7. Correlation Table of Variables ....................................................................................... 52
Table 8. Standardized Coefficients Table SES and School Status By AO ................................... 53
Table 9. Standardized Coefficients Table AE, CE, and FT by CCR ............................................ 55
Table 10. Standardized Coefficients Table AE, CE, and FT By Graduation Rate ....................... 56
Table 11. Standardized Coefficients Table AE, CE, and FT by ACT ELA Scores ...................... 57
Table 12. Standardized Coefficients Table AE, CE, and FT By ACT Math Scores .................... 57
Table 13. Standardized Coefficients Table School Status, SES, CCR, Grad Rate, ACT ELA,
ACT Math By AO ......................................................................................................................... 58
xi
LIST OF FIGURES
Figure 1. Triadic Interactions among the Three Dimensions of Academic Optimism ................... 7
1
CHAPTER ONE: INTRODUCTION
Background
For years, federal accountability mandates have permeated public schools. For decades
public schools have experienced the impact of federal accountability mandates, from the
Elementary and Secondary Act (ESEA) of 1965 to the No Child Left Behind Act (NCLB) of
2002 to the Every Student Succeeds Act (ESSA) of 2015 (U.S. Department of Education, n.d.a.).
Based on ESSA, local schools are to provide accountability measures to receive funding (U.S.
Department of Education, n.d.a.). In Alabama, schools are measured via indicators on the
Alabama State Department of Education State Report Card (Alabama State Department of
Education, n.d.). Also, schools’ performance and achievement are measured via the Failing
Schools List, derived from the Alabama Accountability Act (AAA) of 2013. Both accountability
measures primarily rely upon students demonstrations of proficiency regarding Alabama’s
College and Career Readiness Standards on summative examinations. Presently, several high
schools throughout Alabama have been labeled as Failing Schools and have also been identified
with low Alabama State Department of Education Report Card scores (AAA Schools, 2019;
Alabama State Department of Education Report Card, n.d.).
Title I Schools in Alabama
For decades, Title funding has been utilized to supply resources for schools in
impoverished communities (Department of Education, n.d). Title I, Part A of the Elementary and
Secondary Education Act, as amended by the ESSA, provides financial assistance to Local
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Educational Agencies (LEAs) and schools with high numbers of children from low-income
families (Department of Education, n.d.). According to the Department of Education (n.d.), “The
purpose of Title I is to ensure that all children have a fair, equal, and significant opportunity to
obtain a high-quality education and reach proficiency on challenging State academic
achievement standards (U.S. Department of Education, n.d.b.). Title I of the United States
Department of Education provides funding to the State Department of Education. The Alabama
State Department of Education then provides the LEA’s Title I funding based on the percentages
of children from low-income families (U.S. Department of Education, n.d.b.). The number of
students who receive free and reduced lunches serves as an indicator of the school’s
socioeconomic status (U.S. Department of Education, n.d.b.). Researchers frequently gain access
to the number of students who receive free and reduced lunches or their socioeconomic status
(SES) data via school principals, district federal program coordinators, superintendents, and the
State Department of Education websites.
Title I Schools are identified as schools where low-income families make up at least 40
percent of enrollment (U.S. Department of Education, n.d.b.). These schools are entitled to use
Title I funds to manage school-wide programs to enhance student achievement (U.S. Department
of Education, n.d.b.). If a Title I school provides a targeted assistance program, the school will
provide services to children who are failing or most at risk of failing to meet challenging state
academic standards (U.S. Department of Education, n.d.b.). For decades, researchers have
stated that children from low socioeconomic communities will more than likely not excel
academically (Coleman et al., 1966). Therefore, poverty is viewed as a barrier to student
achievement. Currently, Title I high schools throughout Alabama are prevalent on Alabama’s
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Failing Schools list. Title I high schools. These schools are also labeled with low Alabama State
Department of Education report card scores.
Statement of the Problem
Both elementary and middle schools provide the foundational skills necessary to prepare
students to excel in high school and beyond (Alspaugh, 1998). High school is considered the
final destination of public schooling and is the academic establishment designed to effectively
prepare students to transition towards college and their career paths. The Alabama State
Department of Education’s new focus is “Every child. Every chance. Every day” (Alabama State
Department of Education, n.d.). The chance referenced by the Alabama State Department of
Education is aligned with the Alabama State Department of Educations former motto, Every
Child a Graduate. Every Graduate Prepared (Dailey, 2019, p. 1). Hence, every day, high schools
across Alabama have the chance to prepare every student to become highly efficient, productive
citizens. Nevertheless, Title I high schools face the challenge of combating poverty while
maintaining high achievement scores, graduating seniors, molding minds, and enhancing critical
thinkers to be college and career-prepared.
While working to produce highly productive graduates every year, school systems are
charged with being required to perform academically. In Alabama, the school systems await the
State Report Cards release and Alabama Accountability Acts (AAA) Failing Schools List to the
public. The Alabama State Department of Education Report Card was first published during the
2016-2017 academic year. The Alabama State Department of Education Report Card is viewable
on the Alabama State Department of Education website (Alabama State Department of
Education, n.d.). Annually, the Alabama State Department of Education generates Report Card
grades to publicize public schools status in Alabama (Alabama State Department of Education
4
Report Card, n.d.). In addition, the legislature enacted the AAA of 2013 to scrutinize public
schools academic performance. The AAA of 2013 provides parents the opportunity to choose
optional schooling. Children who attend public failing schools now receive a voucher to attend
schools that have not been identified as failing schools (AAA, 2013).
ESSA requires that states establish accountability procedures to receive federal funding.
In Alabama, student achievement is reported utilizing two distinct state-wide measures.
Substantively, AAA of 2013 requires a Failing Schools List is reported annually throughout the
state (AAA Schools, 2019). Furthermore, the Alabama State Department of Education has
enhanced accountability and pressure to perform by creating a Report Card for schools in
Alabama (Alabama State Department of Education, n.d.). According to Alabamas Failing
Schools List from 2019, several Title I high schools throughout Alabama were identified by low
student achievement (AAA Schools, 2019). Despite poverty, Title I high schools in Alabama are
expected to achieve academically. Evaluating the Alabama State Department of Educations
Report Card scores, Title I high schools are also more frequently identified as schools with lower
Report Card scores (Alabama State Department of Education, n.d.).
Traditionally, researchers have supported the notion that families backgrounds
outweighed schools characteristics concerning student achievement variation (Coleman et al.,
1966). However, since 2006, there have been studies on academic optimism, revealing student
achievement and academic success in schools, despite socioeconomic status (Hoy et al., 2006).
Hoy and Miskel (2013) defined academic optimism through three key concepts:
efficacy “teacher’s belief in his or her capability to organize and execute courses of
action required to accomplish a specific teaching task in a particular context
successfully” (Hoy & Miskel, 2013, p. 163),
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trust “teacher’s willingness to be vulnerable to another party based on the
confidence that the latter party is benevolent, reliable, competent, honest, and open”
(Hoy & Miskel, 2013, p. 194)
academic emphasis “the faculties focus on student success in academics” (Hoy &
Miskel, 2013, p. 196).
The researchers claimed that all three dimensions reveal schools’ internal and external beliefs
and expectations regarding student achievement.
Purpose of the Study
For years, accountability mandates have permeated public schools. In the last two
decades, public schools have experienced the impact of federal accountability mandates, from
NCLB of 2002 to ESSA of 2015 (U.S. Department of Education, n.d.a.). In Alabama, public
schools are currently tasked with avoiding the Failing Schools List and performing well on the
Alabama State Department of Education Report Card. The purpose of this study was to examine
relationships that exist between academic optimism and a segment of Alabama’s accountability
measures. Specifically, this study was designed to examine if there is a relationship between
academic optimism and the Failing Schools List and state report card indicators: College and
Career Readiness Scores (CCR), Graduation Rates, and 11th graders ACT with Writing English
language arts (ELA) and Math achievement scores in a sample of Title I high schools.
Theoretical Foundation
Academic optimism is based largely upon the foundation of positive psychology, which
was formulated to investigate the psychological health and wellness of the public (Myers, 2000).
Positive psychology researchers used scientific research to create theories surrounding the
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characteristics of humans. Psychologists use positive psychology to measure the well-being of
others as it relates to emotional satisfaction, happiness, optimism, hope, and belief (Seligman,
2006).
Academic optimism arose from positive psychology research. Hoy et al. (2006)
determined that the three variables that make up academic optimism enhanced a positive
academic environment, which produced a positive, powerful force for learning. Furthermore,
Hoy (n.d.) disclosed that academic optimism derived from positive psychology with “theoretical
foundations from Albert Bandura’s social cognitive and self-efficacy theories, James Coleman’s
social capital theory, Hoy’s work as well as his colleagues’ research on culture and climate, and
Martin Seligman’s concept of learned optimism” (p. 1). Hoy and colleagues discovered that
academic optimism includes affective and behavioral and affective dimensions connected to
student performance (Hoy et al., 2006). The researcher further stated that “academic emphasis,
efficacy, and trust are similar not only in their nature and function but also in their potent and
positive influence on student achievement” (Hoy et al., 2006, p. 431).
Academic optimism includes faculty trusting their students and parents, faculty believing
in their collective ability to execute goals, and the faculty’s press towards academic excellence
and achievement. According to Beard et al. (2010), all three academic optimism properties are a
“triadic set of interactions,” one supporting the other. Beard et al. also stated a reciprocal
relationship exists between academic optimism’s three constructs. Figure 1 shows the triadic
interactions among the three dimensions of academic optimism.
Academic emphasis, a behavioral component, enhances collective efficacy (Beard et al.,
2010), which is based on the fact that perception is cognitive, strengthens academic emphasis,
and produces trust in students and parents. Trust in students and parents are affective responses
7
that cultivate academic emphasis, manifesting trust (Hoy et al., 2006). Academic optimism,
composed of all three constructs, has been proven to enhance student achievement in K-12
public schools despite SES(Beard et al., 2010; Hoy et al., 2006; McGuigan & Hoy, 2006; Smith
& Hoy, 2007).
Figure 1
Triadic Interactions among the Three Dimensions of Academic Optimism
Note. From “Academic Optimism of Individual Teachers: Confirming a New Construct,” by K.
S. Beard, W. K. Hoy, & A. W. Woolfolk Hoy, 2010. Teaching and Teacher Education, 26,
1136-1144. https://doi.org/10.1016/j.tate.2010.02.003. Copyright 2018 by Elsevier Ltd.
Research Questions
Seven research questions were addressed in this study:
1. Is there a significant relationship between schools’ levels of academic optimism in a
selection of Title I high schools identified on the Failing Schools List and in a selection
of Title I high schools that are not identified on the Failing Schools List in Alabama
despite SES?
Academic
Emphasis
Trust
Collective
Efficacy
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2. Is there a significant relationship between schools’ levels of academic optimism and CCR
Scores in a selection of Title I high schools throughout Alabama?
3. Is there a significant relationship between schools’ levels of academic optimism and the
graduation rate in a selection of Title I high schools throughout Alabama?
4. Is there a significant relationship between schools’ levels of academic optimism and 11th
graders’ ELA and math ACT with Writing Achievement Scores in a selection of Title I
high schools located in Alabama?
5. Is there a significant independent contribution that academic emphasis, collective
efficacy, and faculty trust have on CCR Scores in a selection of Title I high schools
located in Alabama?
6. Is there a significant independent contribution that academic emphasis, collective
efficacy, and faculty trust have on the graduation rate in a selection of Title I high schools
located in Alabama?
7. Is there a significant independent contribution that academic emphasis, collective
efficacy, and faculty trust have on 11th graders’ ACT with Writing Achievement Scores
in ELA and math in a selection of Title I high schools in Alabama?
Assumptions
For decades and even presently, some researchers and educators have perpetuated the
notion that the social-economic status of students outweighs any school-level characteristics
(Coleman Report, 1966). In Alabama, the federal requirements launched by the No Child Left
Behind Act and ESSA, as well as the accountability mandate through the AAA, have required
schools in Alabama to produce academically proficient students, despite poverty.
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I graduated from a Title I high school in Alabama. Further, I have served in Title I school
systems and in Title I schools my entire professional career. I have observed the educators and
leaders within the school climate and culture perpetuate the notion that socioeconomic status
(SES) is the most profound indicator of student achievement. However, I have served in schools
that bolster the expectation of student achievement despite SES. As a result, I witnessed firsthand
notable differences in achievement amongst Title I schools in Alabama that have educators that
possess an expectation of achievement versus schools that have educators that bought into the
mindset that poverty prevails.
More recently, I learned of a framework called academic optimism. Hoy et al. (2006)
discovered school-leveled characteristics that have impacted student achievement, despite
poverty. Together, collective efficacy, faculty trust of parents and students, and academic
emphasis characterized the concept of academic optimism. I became intrigued that a formula
existed for Title I schools to achieve and combat SES. Hence, I decided that I would do my study
on the concept of academic optimism.
This study examined if a relationship existed between academic optimism and
accountability indicators in high schools throughout Alabama. Specifically, the research centered
on the relationship between academic optimism and the 2019 Failing Schools List established by
the AAA and the Alabama State Department of Education’s Report Card indicators: CCR,
graduation rate, and ELA and math ACT scores. The studys findings were based on a
quantitative analysis of the data collected from the School Academic Optimistic Survey (SAOS)
via Qualtrics from teachers within 60 Title I high schools in Alabama. I anticipated schools with
lower academic optimism scores would be on the Failing Schools List. I also anticipated that
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schools with lower academic optimism levels would possess lower CCR, graduation rate, and
ACT with Writing ELA and Math Scores.
Essentially, this study helped determine if there was a relationship between academic
optimism and Alabama’s Accountability measures. Schools throughout the nation are striving to
perform academically. As we gain knowledge from research on academic optimism, school
systems throughout the nation engulfed within impoverished communities may have the
capability and resources to shift their mindset and infuse evidence-based practices to ensure that
all students learn and achieve beyond all limitations.
Significance of the Study
Annually, public schools are scrutinized based on student achievement. In Alabama, the
Failing Schools List and the Alabama State Department of Educations Report Card are reported
to the public to enhance schools accountability and student achievement. According to the
Failing Schools List, Title I high schools throughout Alabama have been labeled as not
academically performing (AAA Schools, 2019). The Alabama State Department of Education
Report Card has also shown that a large segment of Title I high schools are underperforming
(Alabama State Department of Education, n.d.). Researchers have indicated that poverty is a
limitation to academic achievement (Coleman et al., 1966). However, academic optimism was
shown to predict student achievement despite SES (Hoy & Miskel, 2013). The current study
provided information regarding the effects of academic optimism: collective efficacy, a sense of
trust among teachers towards students and parents, and academic emphasis on academic success
in Title I high schools throughout Alabama. Previous studies have shown that school-level
characteristics influence student achievement despite SES. This study demonstrated a
relationship between teachers levels of academic optimism and the Failing Schools List, CCR,
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graduation rate, and student achievement. The results confirmed the theoretical framework that
high school faculties levels of academic optimism were related to the Failing Schools List
despite SES. This study also confirmed that high school faculties’ academic optimism is related
to the Failing School List and Alabama High schools’ accountability indicators: CCR, graduation
rate, and academic achievement. In essence, collectively, high school teachers in Title I Schools
throughout Alabama exhibiting academic optimism will produce higher levels of CCR, have
higher rates of high school graduates, and attain academic achievement on the ACT in ELA and
math.
Fundamentally, this study was proposed to add to the body of existing literature regarding
academic optimism. The purpose of this study was to examine relationships that exist between
academic optimism, accountability indicators, and student achievement. The analysis could be
used by policymakers, administrators, educators, and stakeholders in high schools in
impoverished communities to enhance the quality of education and promote positive student
outcomes. This study could have a significant effect on schools academic culture and climate
throughout Alabama despite SES.
Definition of Terms
Academic achievement According to the Alabama State Department of Education,
academic achievement is measured by the weighted scores of 11th graders’ ELA and Math ACT
with scores on the summative ACT with Writing Assessment (Alabama State Department of
Education, 2019).
Alabama Accountability Act (AAA) of 2013 This act states that schools ranked in the
bottom 6% based on summative assessments required by The Alabama State Department of
Education should be labeled as Failing Schools (AAA Schools, 2019).
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Academic emphasis “The extent to which a school is driven by a quest for academic
excellence” (Hoy et al., 2006, p. 427).
Academic optimism A construct including three collective properties: academic
emphasis, collective efficacy, and faculty trust in clients (Hoy et al., 2006).
Academic proficiency in Alabama’s high schools Alabama Department of Education
identifies high school students in Alabama as proficient in achieving 19 or higher in ELA and
Math and 20 or higher in science on the summative ACT with Writing Assessment (Alabama
State Department of Education, 2019).
ACT with Writing: The American College Test (ACT) An entrance exam used by most
colleges and universities to make admissions decisions. It is a multiple-choice, pencil-and-paper
test administered by ACT, Inc. The purpose of the ACT with Writing Test is to measure a high
school students readiness for college and provide colleges with one common data point that can
be used to compare all applicants” (The Princeton Review, n.d., p. 1). ). In Alabama, the ACT
with Writing is provided to high school students and used as a summative assessment to
determine high school proficiency and achievement on the Alabama State Department of
Education’s Report Card (The Alabama State Department of Education, 2019).
Collective efficacy Collective efficacy is the perception of teachers in a school that the
facultys efforts can and will have a positive effect on students (Bandura, 1997).
College and career readiness (CCR) According to the Alabama State Department of
Education, College and Career Readiness (CCR) is based upon the number of seniors that have
benchmarked on any ACT Subtest, achieved a qualifying score on AP or IB Exam, enlisted in
the military, gained approved transcript college or postsecondary credit while in high school,
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obtained silver level or higher on the ACT WorkKeys, or have attained approved industry
credentials (The Alabama State Department of Education, 2022).
Faculty trust “Faculty trust is an individual’s or group’s willingness to be vulnerable to
another party based on the confidence that the latter party is benevolent, reliable, competent,
honest, and open” (Hoy, n.d., p.1).
Failing School’s List The legislature enacted the Alabama Accountability Act (AAA)
of 2013. As a result, schools ranked in the bottom 6% on state assessments are labeled Failing
Schools annually.
Full academic year A student is considered FAY at the school level if the student is
enrolled 85% of the school year with a matched assessment record. A student is considered FAY
at the state level if the student takes the state-administered assessment in an Alabama Public
School and is listed on the 9th-month attendance report submitted to the Alabama State
Department of Education (The Alabama State Department of Education, 2022).
Graduation rate A portion of the Alabama Department of Educations Report Card for
high schools and consists of the number of students who received a diploma or its equivalent,
certifying high school completion. High schools are public schools that include Grade 12 (The
Alabama State Department of Education, 2022).
Poverty The Alabama State Department of Education determines schools
socioeconomic status according to the number of students who receive free and reduced lunch
(The Alabama State Department of Education, 2022).
Title I schools Schools that are identified as schools in which low-income families
make up at least 40 percent of enrollment (United States Department of Education, n.d.).
14
CHAPTER TWO: REVIEW OF THE LITERATURE
Federal Accountabilitys Impact on Local Schools Throughout the Nation
Funding to operate school systems in Alabama generally derives from the Education
Trust Fund, local property taxes, and federal funding. In some cases, school systems can
ascertain grants that will provide additional funding. However, grants are generally competitive,
conditional, technical, and require skilled individuals to write and maintain the guidelines
required to continuously receive grant funding (U.S. Department of Education, n.d.b.).
Researchers have found that schools that possess issues with turnover, uncertified personnel,
high discipline rates, and teacher fatigue are typically issues within schools that need funding for
additional resources (Garcia & Weiss, 2019). However, schools in impoverished communities
typically cannot operate solely based on state funding and local funding revenue.
Federal funding is necessary for school systems to manage and remain viable. However,
to receive federal funding, school systems are mandated to comply with federal mandates. In
addition, accountability guidelines based on student achievement are required for states to
receive federal aid. As a result of accountability mandates from the federal government, the
Alabama State Department of Education has imposed requirements based on the federal
governments guidelines to receive funding (U.S. Department of Education, n.d.b.).
For decades, federal requirements regarding accountability and student achievement have
been imposed on public education systems to secure funding (U.S. Department of Education,
n.d.b.). In 1981, the Secretary of Education organized a commission to investigate the state of
public education in the United States. President Reagan provided the findings of the investigation
15
in 1983 (Guthrie & Springer, 2004). Although the investigation results have been under scrutiny,
President Reagan revealed that public school children lacked the education to compete with other
countries in commerce, industry, science, and technological innovation (Guthrie & Springer,
2004). As a result, the president expressed that public school reform is vital to the nations
future. Hence, the president required the public-school curriculum include four years of
language, three years of mathematics, social studies, science, and one-half year of computer
science (Guthrie & Springer, 2004). Also, President Reagan called for the states to implement
more rigorous and measurable standards and enhance teaching quality and effectiveness through
the implementation of teacher preparation and professionalization. Last, the president expressed
the need to form an accountability mechanism (Guthrie & Springer, 2004). As a result of the A
Nation at Risk Report, federal guidelines were attached to the states funding. The federal
guidelines included the expectation of rigorous instruction, professional development, set
curriculum, and accountability in schools. The A Nation at Risk Report initiated ideologies and
key expectations that would later become evident in the next wave of federal education
legislation enacted by President George W. Bush in 2001.
In 2001, No Child Left Behind (NCLB), through President Bush and Congress,
reauthorized the Elementary and Secondary Education Act (ESEA) of 1965. Similar to ESEA,
NCLB promoted the resources, services, and advancement of the oppressed. Traditionally, sub-
groups consisting of minorities, special needs students, English Language Learners (ELL), and
social-economically disadvantaged students were most frequently identified as academically low.
Teachers were required to be highly qualified and certified to teach the areas in which they
worked. With NCLB, accountability was needed for all children, which was measured by the
16
computation of Adequate Yearly Progress (AYP). Growth was expected on state-wide
summative annual evaluations to meet AYP each year (Tyler, 2013).
By 2014, all schools were expected to have 100% of all students proficient, based on
each state’s summative evaluation (Tyler, 2013). However, in 2015, through Congress, President
Barack Obama replaced NCLB with the Every Student Succeeds Act (ESSA). Similar to NCLB,
ESSA encourages annual testing and accountability. The purpose of ESSA is to provide an equal
opportunity to all children and all schools by providing comprehensive support and leverage to
states (U.S. Department of Education, n.d.a.). Essentially, ESSAs objective is to loosen the
tightly woven noose from NCLB and offer more autonomy to the states. Specifically, ESSA
provides states the authority to formulate their own goals and consequences for not reaching
them (U.S. Department of Education, n.d.a.). Also, ESSA’s regulations stress academic growth
based on where students are instead of where they should be by providing points to students who
may be below grade level but still demonstrate growth. Further, states have been provided the
liberty to select the state-wide assessment to measure student achievement and academic success
(U.S. Department of Education, n.d.a.).
Federal legislation has had a tremendous impact on the curriculum in school systems
needing supplemental income to operate. In Title I Schools in Alabama, federal funding is
essentially the mechanism to ensure equitable resources, technological enhancements, and
learning opportunities (U.S. Department of Education, n.d.b.). Unlike affluent communities that
can afford to rely on property taxes and the State Education Trust Fund, Title I schools depend
on federal funding to function. As a result, accountability mandates are not optional for
underfunded Title I schools throughout Alabama. Instead, for Title I schools, federal funding is
17
required to secure resources and the necessities for schools in impoverished communities
(Department of Education, n.d.b.).
Alabamas Academic Standards
The Alabama State Department of Educations accountability requirements, the Alabama
Accountability Act (AAA) of 2013, and the United States Department of Education’s mandates
guide the accountability system outlined for school systems throughout Alabama. However,
despite poverty, high school students are expected to excel academically to be prepared for
college and/or careers. In the state of Alabama, there are accountability mandates established to
measure if students are adequately prepared to advance beyond high school. The largest segment
of the accountability requirements derives from the Alabama State Department of Education and
the Alabama Accountability Act (AAA) of 2013. The theoretical expectation is that every
student throughout Alabama will perform on or above grade level on summative assessments
based on the Alabama Course of Study, which is composed of the College and Career Readiness
Standards. College and Career Readiness Standards (CCRS) developed through working with
higher education, employers, educators, community stakeholders, and the research available to
best formulate standards to prepare students to be college and career-ready (Hill & Smith, 2013).
Next, the Council of Chief State School Officers (CCSSO) and the National Governors
Association (NGA) worked with experts and researchers to align the standards to the college and
career-ready standards (Alabama State Board of Education, 2015). Last, a committee of experts
reviewed and validated that the standards possessed the requisites necessary to prepare students
for college and careers.
A political dispute ensued across the United States regarding teaching common standards
(Bidwell, 2014). Some state politicians thought of common standards as a means for the federal
18
government to control what was being taught in the classroom. Nevertheless, proponents of the
Common Core Standards contended that common standards enhanced commonality in regard to
summative assessments and unity if students move to other states (Bidwell, 2014). After much
controversy and debate, Alabama joined other states in implementing the Common Core
Standards. The Alabama State Board of Education approved the adoption of Common Core State
Standards and selected Alabama standards in November 2010 (A+ Education Partnership, 2014).
The first standards to be fully implemented were the math standards in 2012 (Council of
Chief State School Officers, n.d.). The following year, the state integrated the English Language
Arts (ELA) standards into the curriculum (Council of Chief State School Officers, n.d.). There
have been several shifts in K-12 CCRS in the areas of reading, language, science, social studies,
media, and technology, speaking, listening, and writing (Alex-Alabama Learning Exchange,
2022.) In addition, forty-one states, the District of Columbia, four territories, and the Department
of Defense Education use the Common Core Curriculum (Common Core State Standards
Initiative, 2022a). The standards now include more rigor, relevance to the real world, critical
thinking, writing, speaking, and listening (Common Core State Standards Initiative, 2022b). No
longer are students expected to memorize information; instead, they are now required to apply,
synthesize, and create new knowledge (Common Core State Standards Initiative, 2022b).
To measure students ability to use CCRS, comprehend, think, analyze, and efficiently
operate in the workforce and college classrooms, the Alabama State Department of Education
requires students to take summative assessments. In terms of accountability, 11th graders are
required to take the American College Testing (ACT). Therefore, accountability data comes from
students test scores on the ACT. Specifically, the Alabama State Department of Education uses
approximately six indicators to measure public high schools performance across the state of
19
Alabama (The Alabama State Department of Education, 2022). Alabamas High Schools Report
Card consists of the following categories: college and career readiness (10%), four-year cohort
graduation rate (30%), chronic absenteeism (10%), academic achievement (20%), and academic
growth (25%), and progress in English and Language proficiency (5%) if the English Learner
(EL) population consists of at least 20 students (Alabama State Department of Education, 2019).
If 20 students are not located in a high school, 5% of the State Report Card transfers to the
Academic Growth portion of the Report Card (Alabama State Department of Education, 2019).
Alabama Accountability Act (AAA) of 2013
On February 28, 2013, the Alabama State legislature enacted the Alabama Accountability
Act (AAA). Governor Bentley signed the bill on March 14, 2013. If a student attends a failing
school, AAA permits the child to be transferred to a public or private school of the parents
choice (Alabama Policy Council-Guide to Issues, n.d). If a public-school student leaves a failing
school to attend a non-failing school, 80% of the public school’s funding travels with the child to
a public, charter, or private non-failing school (Alabama Policy Council-Guide to Issues, n.d.). In
addition, AAA ensures a refundable income tax credit to reimburse Alabama taxpayers who are
the parents of students enrolled in a public school ranking in the bottom 6% of K-12 public
schools in Alabama (Alabama Accountability Act, 2013). The income tax credit a parent
receives will be equal to 80% of the average annual state cost of attendance for a public K-12
student during the applicable tax year, or the actual cost of attending a nonfailing public or
nonpublic school, whichever is less (Alabama Policy Council-Guide to Issues, n.d., p. 1). If the
parent whose child attends a failing school chooses for their child to attend a nonfailing school
owes less than the sum of the tax credit, the parent is eligible for a refund for the difference
(Alabama Accountability Act, 2013). Also, individuals or corporations that provide
20
contributions, donations, and/or scholarships to students who attend failing schools are eligible
for a tax credit (Alabama Accountability Act, 2013). However, AAA mandates that the
percentage of low-income scholarship awardees equates to the percentage of low-income
students in the area where the vast majority of scholarships are awarded (Alabama
Accountability Act, 2013).
Further, scholarship awardees cannot be allowed to have previously attended a private
school (Alabama Policy Council-Guide to Issues, n.d.). Nevertheless, to ensure innovation and
school autonomy, AAA demonstrates flexibility by permitting the State Board of Education to
contract with local boards to relinquish certain laws and regulations (Alabama Policy Council-
Guide to Issues, n.d.). In addition, AAA creates education flexibility from certain state
requirements for existing public schools, establishes a tax credit scholarship program, and
institutes refundable tax credits for parents of students in failing K-12 public schools (Alabama
Accountability Act, 2013).
According to the AAA of 2013, failing schools are schools at the bottom 6% of public
schools based on the states standardized assessment (Alabama Accountability Act, 2013).
Regarding academic achievement and accountability, high schools do not take the same
assessment as elementary and middle schools. Instead, high schools are measured according to
11th-graders proficiency in Math and ELA sections of the ACT with Writing (Alabama State
Department of Education, 2019). Furthermore, high schools carry additional requirements such
as CCR and Graduation Rate, and a high schools level of achievement is calculated based upon
Full Academic Year (FAY) 11th-graders ACT scores in English and mathematics (Alabama
State Department of Education, 2019).
21
Students in elementary school settings have performed better than those in high schools
(AAA Schools, 2019; Alabama State Department of Education Report card, n.d.). There were 75
schools indicated on the Failing Schools List in November of 2019, which consisted of 21% of
elementary schools, while 31% of the 2018-2019 Failing Schools List consisted of middle
schools. However, the vast majority of schools on the Failing Schools List were high schools
throughout Alabama. There were 36 high schools on the Failing Schools List; thus, 48% of the
2018-2019 Failing Schools List consisted of high schools (AAA Schools, 2019).
Indeed, accountability mandates apply to all schools, elementary, middle, and high.
However, in terms of student achievement, high schools in Alabama score the lowest. In addition
to the number of conditions that are obstacles to student achievement, Title I high schools
throughout Alabama are still expected to achieve and graduate students prepared to succeed in
college and throughout the workforce, despite the extreme limitations rooted in poverty.
Researchers have revealed that advancing academic optimism shows that student achievement is
obtainable, despite poverty (Beard et al., 2010; Hoy et al., 2006; McGuigan & Hoy, 2006; Smith
& Hoy, 2007). This study examined school members levels of academic optimism and if there
was a correlation between academic optimism, the Failing Schools List, and high schools
Alabama State Report Card indicators: CCR academic achievement and graduation rate,
throughout Title I high schools in Alabama.
Accountability-Alabama Department of Education Report Card
In response to the federal governments accountability requirements, the Alabama State
Department of Education created a system to measure its performance and growth. Specifically,
the Alabama State Department of Education uses approximately six indicators to measure public
high schools performance across the state of Alabama (Alabama State Department of Education,
22
2019). As noted, Alabamas High Schools Report Card consists of the following categories:
CCR (10%), four-year cohort graduation rate (30%), chronic absenteeism (10%), academic
achievement (20%), academic growth (25%), and progress in English and Language Proficiency
(5%) if the English Learner (EL) population consists of at least 20 students (Alabama State
Department of Education, 2019). However, if the EL population does not consist of 20 students,
the 5% allocated is transferred to the academic growth portion of the Report Card (Alabama
State Department of Education, 2019). This study examined if there was a correlation between
schools’ academic optimism and the Failing Schools List as established by the AAA, as well as a
segment of Alabama State Department of Education’s Report Card Indicators for high schools:
CCR, graduation rate, and academic achievement (as measured by the ELA and math portions of
the ACT with Writing assessment).
College and Career Readiness (CCR)
CCR is used to ensure that students obtain resources that can be used to enhance
preparedness and success in college and the workforce. According to the Alabama State
Department of Education, the CCR rate is calculated based on the number of students in a four-
year cohort that have met a CCR Indicator. CCR accounts for 10% of Alabamas High Schools
State Report Card (2019). To successfully gain CCR points, high school students in a four-year
cohort must adhere to one of the following: benchmark on any ACT Subtest, achieve a
qualifying score on advanced placement (AP) or international baccalaureate (IP) exam, enlist in
the military, gain approved transcript college or postsecondary credit while in high school, obtain
silver level or higher on the ACT WorkKeys, or attain approved industry credentials (Alabama
State Department of Education, 2019). These indicators have been formulated to enhance post-
high school graduation success in college or the workforce. Schools with students achieving high
23
levels of CCR points ensure that students who graduate from high school will more than likely
go to college and progress towards a profitable career.
Graduation Rate
The graduation rate indicator from the Alabama State Department of Education State
Report Card is utilized to encourage students to graduate from high school. According to the
Alabama Department of Education, the graduation rate is computed according to the percentage
of students who graduate within four years of entering 9th grade and is multiplied by 30%
because the graduation rate equals 30% of high schools’ Alabama State Department of Education
Report Card Grade in Alabama. High school graduation, or the equivalent, is typically a mandate
for students to attend college and is a prerequisite for many lucrative careers (Alabama State
Department of Education, 2019). As a result, graduation is essential for high schools’
accountability scores and is also pivotal for students to have access to college and many careers
that provide financial sustainability, health care, and retirement, among other factors.
Academic Achievement
According to the Alabama State Department of Education website, academic
achievement is “an Accountability System Indicator based on the percentage of proficient
students in tested grades (2022 ). In addition, the Alabama State Department of Education
indicated that academic achievement on the State Report Card consists of FAY 10th graders who
qualify for Alabama Alternative Assessment (students with special needs) and includes FAY
11th graders math and English ACT proficiency scores (Alabama State Department, 2019).
Proficiency on the ACT is deemed by the number of FAY 11th graders who score a 19 on the
math and 19 on the ELA segment (Alabama State Department of Education, 2019). The Alabama
24
State Department of Education has indicated that the academic achievement score is computed
based on a weighted scale. The weighted achievement levels are indicated in Tables 1 and 2.
Table 1
Academic Achievement ELA Weight and Proficiency
Level
Weight
ACT
Scores
Proficiency
I
0
1-13
Does not meet academic content standards
II
0.5
14-18
Partially meets academic content standards
III
1
19-22
Proficient/on grade level-Meets academic content standards
IV
1.25
23-36
Exceeds academic content standards
Table 2
Academic Achievement Math Weight and Proficiency
Level
Weight
ACT
Scores
Proficiency
I
0
1-15
Does not meet academic content standards
II
0.5
16-18
Partially meets academic content standards
III
1
19-24
Proficient/on grade level-Meets academic content standards
IV
1.25
25-36
Exceeds academic content standards
Academic Achievement makes up 20% of high schools Alabama State Department of Education
Report Card Score (Alabama State Department of Education, 2019).
Theory School Effectiveness Movement
Student achievement and accountability have been relevant for decades. There have been
variations of accountability mandates established to measure students performance. However,
researchers have debated if school leaders and educators are capable of advancing all children
academically. Coleman et al. (1966) postulated that schools had an insignificant effect on student
achievement and that most of the differences in student achievement were associated with
distinctions in family backgrounds. Nevertheless, Edmonds (1979) refuted Colemans findings
by alleging that school characteristics mattered regarding student achievement. Edmonds
25
revealed that effective schools were characterized by efficient principal leadership, systematic
evaluation of students, significance placed on learning necessary skills, high expectations
regarding student achievement, and an orderly, safe environment. Similar to Edmonds, other
researchers have found that school-level characteristics impact student achievement. Particularly,
researchers have revealed that student achievement is prevalent in schools exhibiting academic
optimism despite the students' socioeconomic status (Goddard et al., 2000; Hoy et al., 2006;
McGuigan & Hoy, 2006; Smith & Hoy, 2007).
Academic Optimism
In the early 1970s, Hoy and his colleagues commenced exploring school climate and its
impact on students’ behavior. They found that schools with positive climates enhanced positive
student outcomes, specifically regarding attitudes and self-actualization (Hoy, 2012). In addition,
schools with educators and leaders who promoted authentic interactions among students, parents,
and teachers enhanced students’ attitudes towards achievement (Hoy, 2012). Hoy and his
colleagues further explored the positive effects of school climate and found that a positive
climate did not appear significant when accounting for the variances in achievement, especially
when compared to the impact found in socioeconomic status (Hoy, 2012). Consequently, Hoy
and other researchers began to seek variables that were just as significant as socioeconomic
status in predicting student achievement. For years, research was conducted involving the
individual and organizational properties of academic optimism: collective teacher efficacy,
faculty trust in parents and students, and academic emphasis. Then, in 2006, Hoy et al. found that
of the three properties combined, academic optimism was a powerful predictor of academic
achievement in 96 high schools in Ohio.
26
Impact of Academic Optimism on Schools
With the increased weight of standardized tests and accountability in schools, researchers
have conducted studies to determine school-level characteristics aligned to student academic
achievement. Hoy et al. (2006) focused on school-level aspects that impact student academic
achievement, despite socioeconomic factors and found that integrating three school-level
constructs enhanced a concept known as academic optimism. Hoy and his colleagues formulated
the concept of academic optimism because of the high correlation levels between academic
emphasis, collective efficacy, and faculty trust. Academic optimism has been proven to exist in
schools that are academically successful (McGuigan & Hoy, 2006). Essentially, academically
optimistic schools possess stakeholders who have an expectation of success. Collectively,
teachers who believe they can make a difference are committed, optimistic, engaged, intentional,
and trust that students are capable of reaching academic success and achievement (McGuigan &
Hoy, 2006; Smith & Hoy, 2007).
Although the academic optimism construct is considered relatively new, theorists have
researched the individual components for years. Academic optimism is similar to the triadic
reciprocal causation portrayed by Bandura (1989), who found that individual school members
behave according to how the school behaves collectively. Bandura claimed that school members
behaviors, expectations, and self-evaluations are enhanced according to their environmental
norms and practices (Bandura, 1989). In addition, Bandura and Jourden (1991) concluded that
human action results from a blend of behavioral, cognitive, and ecological factors.
The foundation of academic optimism is rooted in Banduras social cognitive and self-
efficacy theories for collective efficacy (Bandura, 1993, 1997). Colemans (1990) social capital
theory for faculty trust and Hoy and his associates research on culture and climate for academic
27
emphasis were derived from Parsonss research regarding organizational health (Hoy et al.,
1991). Hoy et al. (2006) expanded the initial study and created the academic optimism construct
to be more relevant to schools. Furthermore, Hoy and other researchers examined academic
optimism in terms of schools student achievement. The researchers constructed a survey
instrument, the School Academic Optimism Scale (SAOS), to measure academic optimism,
which is composed of collective efficacy, faculty trust in students and parents, and educational
emphasis. Researchers have continued to investigate the impact of the individual constructs of
academic optimism: academic emphasis, faculty trust, and collective efficacy on school-level
characteristics (Bevel & Mitchell, 2012; Cassity, 2012; Forsyth et al., 2011; Smith & Hoy,
2007). These studies continue to develop research theories concerning academic optimism.
Several studies have been conducted on academic optimism in elementary schools (Beard
et al., 2010; Forsyth et al., 2011; Hoy et al., 2006; McGuigan & Hoy, 2006). In McGuigan and
Hoy’s (2006) study, the researchers found that in a rural elementary school, academic optimism
was strongly related to mathematics and reading and even revealed that the relationship to
student achievement was so significant that socioeconomic status was no longer a predictor of
achievement. Smith and Hoy (2007) also described a significant relationship between academic
optimism and student achievement at the urban elementary school level for mathematics, even
when controlling for socioeconomic status. In addition, Bevel (2010) found a significant
relationship between academic optimism and student achievement in reading and mathematics in
an elementary school in Alabama.
Researchers have also studied academic optimism at the high school level. For example,
Hoy et al. (2006) found that academic optimism was significantly related to social studies,
reading, and writing achievement at the high school level, even after controlling for
28
socioeconomic status, student population, and previous 9th-grade achievement scores. Surveys
were administered to faculty members in 96 high schools. A factor analysis and hypothesis
testing were performed to measure the findings. The study revealed that the three components of
academic optimism: collective efficacy, faculty trust, and academic emphasis, were predictors of
student achievement. In addition, Kirby and DiPaola (2009) discovered a significant relationship
between academic optimism and student achievement in high school history and biology, despite
controlling for socioeconomic status. Wagner and DiPaola (2011) revealed similar results,
showing a significant relationship between academic optimism and biology, reading, and writing
achievement.
Furthermore, Bower and Powers (2010) found a relationship between academic optimism
constructs. The researchers indicated that student success arises from schools promoting
academic press to all the stakeholders. As a result, the relationship between academic emphasis
and faculty trust is reinforced. Bower and Powers also found that the two other components of
academic optimism are interrelated. They indicated that collective efficacy enhances confidence,
and trust in parents and students promotes collective efficacy amongst the faculty. The
researchers explained that rigor is enhanced when school members perceive they can organize
and execute actions that impact student learning. As student achievement transpires, collective
efficacy is enhanced (Bower & Powers, 2010).
Researchers have validated that faculty trust, collective efficacy, and academic emphasis,
the elements that make up academic optimism, collectively reinforce each other and predict
student achievement (Bevel & Mitchell, 2012; Cassity, 2012; Hoy et al., 2006; McGuigan &
Hoy, 2006; Smith & Hoy, 2007). Hoy et al. (2006) demonstrated the relationship between the
three components of academic optimism in a conceptual framework. Collectively, the three
29
constructs form a foundation that supports the advancement of academic optimism and student
achievement. Studies on academic optimism studies regarding CCR, ACT reading and math
student achievement, graduation rate, and the Failing Schools List in Title I high schools in
Alabama were lacking in the literature. This study was the first study to examine the impact of
schools level of academic optimism on accountability indicators in Title I high schools in
Alabama.
Academic Emphasis
Academic emphasis is defined as “the extent to which a school is driven by academic
excellence” (Goddard et al., 2000, p. 684) or a press for academic achievement. Educational
emphasis is characterized as academic excellence, including high but achievable goals, a severe
and orderly school environment, motivated students, and the pursuit of student achievement
(Goddard et al., 2000). Academic emphasis, often referred to as academic press, occurs when
schools make academic achievement a central focus (McGuigan & Hoy, 2006). To measure
schools level of academic emphasis, Hoy et al. (1991) developed the Organizational Health
Inventory (OHI).
According to Bevans et al. (2007), academic focus provides a view of a schools
organizational health. The researchers used the OHI and found that the schools climate impacted
the staff’s actions, which subsequently moved student achievement. Moreover, Hoy and Miskel
(2013) revealed that academic emphasis is the enacted behavior prompted by collective efficacy
and faculty trust an emphasis on intellectual pursuits and academic success (p. 314). In
essence, academic emphasis is the collective belief and exertion of actions that demonstrate that
student achievement is vital.
30
Impact of Academic Emphasis on Schools
Schools with a reputation for promoting academic emphasis focus on and promote
student achievement. School communities that embrace academic emphasis send stakeholders an
explicit and transparent message that all students’ academic achievement is feasible and
significant. Schools with high academic focus also have high expectations for all students, and
schools with high academic emphasis offer strong, prescriptive support and resources to assist all
students with striving to achieve proficiency and beyond.
Goddard et al. (2000) revealed that academic emphasis was a significant predictor of
student achievement in reading and math in poor socioeconomic communities. Specifically, the
researchers found that schools with higher academic emphasis had higher levels of student
achievement. Goddard et al. stated, Although students receiving a free or reduced-price lunch
scored on average 2.41 points below their schools mean reading scores, the school means
averaged 11.39 points higher where there was a strong academic emphasis (p. 698). The
researchers findings were that schools that exhibited high levels of academic emphasis had
higher levels of student achievement despite race or SES. The researchers concluded that schools
with higher academic focus should enhance collective efforts to promote student achievement.
Although this was the first study to evaluate the relationship between academic emphasis
and segments of Alabamas Accountability System, several studies have demonstrated that
academic focus is related to student achievement despite SES (Cassity, 2012; Goddard et al.,
2000; Hoy et al., 1991; Hoy et al., 2006; McGuigan & Hoy, 2006). Hoy and his associates were
the first researchers to conduct studies that demonstrated a positive and direct relationship
between academic emphasis and student achievement in high schools while controlling for SES
(Hoy et al., 1990; Hoy et al., 1991; Hoy et al., 2006). Theorists later demonstrated the same
31
positive relationship for middle schools while controlling for SES (Hoy & Hannum, 1997; Hoy
& Sabo, 1998). Positive results were also demonstrated for elementary schools (Bevel, 2010;
Hoy et al., 2006). According to Hoy et al. (2006), regardless of the methodology or settings of
schools, the results remain constant. They further stated that academic emphasis is a key
variable in explaining student achievement, even controlling for socioeconomic status, previous
achievement, and other demographic variables (Hoy et al., 2006, p. 137).
Collective Efficacy
Collective efficacy is the teachers judgment that the entire school faculty can
systematically execute actions needed to have a positive effect on students (Goddard et al.,
2004). Bandura (1993) and later Goddard et al. (2000) discovered that schools with faculty
members who exhibited high levels of collective efficacy performed better than schools with
teachers who doubted their collective ability to meet their academic goals. Hoy and Miskel
(2013) defined collective efficacy by using four sources of effectiveness: mastery experience,
vicarious experience, social persuasion, and affective state. Efficacy increases as mastery
experiences occur. Mastery experience occurs when each student produces positive results and
demonstrates confidence. Vicarious experiences also strengthen self-efficacy. As individuals
observe and identify with others who produce positive and predictable outcomes, they gain
confidence in executing similar tasks. Social persuasion relates to having others influence one
directly and providing opportunities for mastery experiences in a safe manner. Finally, the
affective state, which is the emotional state of an individual, influences efficacy by shifting the
individuals focus inward (Hoy & Miskel, 2013). For example, emotionally elated individuals
are the most positive and productive at work. Conversely, if individuals are depressed or
unhappy, they are more than likely unable to focus on work tasks. Thus, the individuals
32
perception of their work abilities will most likely not be positive or productive. As a result, based
on Banduras research, how individuals collectively view their work capabilities affects student
learning (Bandura, 1989).
Impact of Collective Efficacy on Schools
Bandura (1986) was one of the first theorists to find a connection between efficacy and
student achievement, regardless of SES. Bandura enhanced the foundation of collective efficacy
through his research on self-efficacy. His research was critical to the concept of the teacher
collective efficacy construct. To effectively promote an image on a group level, an individual
must value the concept on a personal level. Self-efficacy is essential because an individuals
beliefs influence how they perceive tasks and set goals (Bandura, 1977).
Regarding self-efficacy, Banduras (1997) findings were that people's level of
motivation, affective states, and actions are based more on what they believe than on what is
objectively true (p. 2). As a result, individuals behavior can frequently be predicted by their
beliefs regarding their capabilities versus their actual capacity. Self-efficacy beliefs help guide
what individuals do with their knowledge and skills. Therefore, individuals behaviors may seem
vastly different from their existing capabilities, which could explain various actions of
individuals with similar knowledge and skills. Moreover, goals and objectives are accomplished
when individuals possess self and collective efficacy. In contrast, goals and objectives are less
likely to be successful when self and collective efficacy beliefs are limited.
Hoy et al. (2002) found that collective and individual efficacy enhance each other.
Collective efficacy enhances the positive effects of individual teacher efficacy, and individual
teacher efficacy increases collective efficacy. The researchers also stated that collective teacher
efficacy appears to promote individual teachers to effectively use the skills they already possess.
33
When teachers become believers, collective efficacy can result (Tschannen-Moran et al., 1998).
In one study involving high schools, Hoy et al. (2000) discovered that collective efficacy was the
critical variable connected to student achievement; it was found to be more significant than SES
and academic press. Although this study was the first to examine the relationship between
collective efficacy and Alabamas Accountability Systems, several researchers have connected
collective efficacy and student achievement (Bandura, 1993; Goddard et al., 2000; Hoy et al.,
2002). Despite each studys methodology or academic environment, the results remained
consistent. Collective efficacy made a difference in student achievement.
Faculty Trust in Parents and Students
The last component of academic optimism is trust. Relational trust is needed to cultivate
positive collaborative relationships (Beard et al., 2010), and faculty trust is a collective form of
faith. In essence, the faculty expects the word, promise, and actions of another group or
individual can be relied on and that the trusted party will act in the best interests of the faculty
(Forsyth et al., 2011, p. 4). A trusting relationship consists of the perception of benevolence,
reliability, competence, honesty, and openness towards another (Goddard et al., 2001).
Benevolence has been described as a sense of goodwill and generally caring about another
person and exists when one cares about a relationship (Baier, 1986). Benevolence embodies the
confidence that ones well-being or something one cares about will be protected by the trusted
person or group (Hoy and Tschannen-Moran, 1999, p.187). It is exhibited in school
organizations where teachers believe that their students and parents care about their well-being.
When there is a lack of trust in the parents and students benevolence, teachers become worried
about real and imagined harm (Hoy et al., 2006). Practically, teachers must feel comfortable and
trust their students and parents to experiment with new teaching mechanisms and inevitably
34
make mistakes (Hoy & Sabo, 1998). Reliability is another component of trust; it is the extent to
which behavior is predictable and benefits the other party. Consistency of action ensures
expectations dependability from others (Butler & Cantrell, 1984). Reliability is rooted in
predictability and dependability and integrates consistency and caring (Hoy & Tschannen-
Moran, 1999). School teachers can trust students and parents if they perceive they are reliable
and consistent.
Also, competence is a required component of trust. Barber (1983) explained competence
as the expectation of ones technically competent role performances(p. 9-10). Competence is
included in one’s ability to perform according to appropriate standards. Trust is developed
through an individual's dependency to fulfill a duty with a level of skill involved to meet an
expectation (Baier, 1986). Teachers are tasked with trusting that students and parents are capable
of achieving academic optimism in school organizations.
Further, honesty is a trust component grounded in integrity (Tschannen-Moran & Hoy,
2000). Honesty is defined as an individuals character and integrity, with the expectancy that
the word, promise, verbal or written statement of another individual or group can be relied upon
(Rotter, 1967, p. 651). Therefore, if honesty is prevalent in school organizations, individuals will
have confidence that their members will keep their promises and provide truthful feedback.
The last element of trust is openness, which is a process in which relevant information is
not withheld; it is a process by which people make themselves vulnerable to others by sharing
personal information (Butler & Cantrell, 1984). Administrators, educators, parents, and students
who conceal information enhance suspicion rather than openness and trust (Hoy et al., 2006).
Openness is exhibited by the willingness to communicate and disseminate information. For
example, transparency regarding feedback and curriculum is needed to enhance trust in school
35
organizations. Hoy et al. (2006) claimed that a reciprocal relationship of openness and trust is
encouraged to improve academic optimism.
The Impact of Trust on Schools
Several researchers have found that trust is a vital school characteristic that influences
student achievement (Bryk & Schneider, 2002; Goddard et al., 2001; Hoy & Tschannen-Moran,
1999). The relationship between trust and Alabama's Accountability System has not yet been
explored; however, in a 1999 study, Hoy and Tschannen-Moran measured if trust had a
significant impact on student achievement (Hoy and Tschannen-Moran, 1999). From the study,
trust in students and trust in parents merged into one construct, trust in clients. The researchers
found that faculty trust in students and parents significantly affected school effectiveness and
student achievement in reading and mathematics. Furthermore, the researchers found indirect
links between faculty trust and student achievement through collective efficacy. The results were
conclusive, showing higher levels of collective efficacy among schools generated more elevated
levels of trust in students and parents despite SES (Hoy & Tschannen-Moran, 1999).
Similarly, Goddard et al. (2001) found that the degree of meaningful teacher-student and
teacher-parent relationships is affected by the trust that binds the connections. Faculty trust has
been found to impact student learning (Goddard et al., 2001). Researchers have established that
the higher the faculty trust in clients, the higher the students achievement in math and reading
(Tschannen-Moran & Hoy, 2000). The validity of the faith and its relationship to student
achievement was demonstrated in the Tschannen-Moran and Hoy (2000) study. The researchers
found trust was related to democratic decision making, a positive school climate conducive to
learning, effective, productive communication, and individuals willingness to go beyond the call
of duty. In addition, the researchers found that trust impacted student learning, teachers
36
collective efficacy, and school effectiveness, despite SES. Their findings enhanced researchers
perception that trust is a vital construct towards advancing achievement. Furthermore, Forsythe
et al. (2006) stated that the “strength of relational trust inherent in role groups … of the
organization does indeed appear to predict school effectiveness and thus student achievement
(p. 137). In addition, other studies confirmed that higher levels of trust in school organizations
positively impacted student achievement (Goddard et al., 2001; Hoy & Tarter, 1997; Hoy et al.,
2002; Tschannen-Moran & Goddard, 2000).
37
CHAPTER THREE: RESEARCH DESIGN AND METHODOLOGY
Academic optimism embodies school characteristics that have been positively associated
with student achievement in schools (Hoy et al., 2006; Smith & Hoy, 2007). This study sought to
test previous findings and extend the research in Title I high schools throughout Alabama. The
purpose of this study was to examine relationships that exist between academic optimism,
accountability indicators, and student achievement. Academic optimism is a construct that
commenced from quantitative studies that identified three related school characteristics that had
strong relationships with student achievement. There have been studies that have used
quantitative research to examine academic optimism (Bevel & Mitchell, 2012; Cassity, 2012;
Hoy et al., 2006; McGuigan & Hoy, 2006, Smith & Hoy, 2007; Tschannen-Moran et al., 2013).
This study aimed to provide further quantitative evidence to impact research, practices, and
school-related factors connected to enhancing student achievement in schools.
The Research Design
The School Academic Optimism Scale (SAOS; Appendix A) was used to measure
teachers’ levels of academic optimism in this study. Title I high schools throughout Alabama
were the unit of analysis. Regarding the first research question, the independent variable
consisted of schools’ status (Failing and Non-Failing Schools), and the dependent variable was
academic optimism, which includes academic emphasis, collective efficacy, and teacher trust of
clients. SES was controlled in research question one and was determined by the percent of
38
students who received free and reduced lunch at each school from 2018 to 2019. The
independent variable remained the same throughout the remainder of the research questions. The
dependent variables were CCR scores, graduation rates, and 11th grade ACT English and math
achievement scores, respectively.
This quantitative study examined the significance of the relationships between academic
optimism, CCR scores, graduation rates, 11th-grade ACT with Writing ELA and math
achievement scores, and the Failing Schools List, despite SES. Scoring was completed in phases.
First, there was a calculated school means for each item/variable. Then, each items means were
averaged to calculate the overall school mean for each variable. Before scoring, negatively
worded questions were reverse coded. Statistical Product and Service Solutions (SPSS) 27 was
used to calculate reliability statistics, mean scores, standard deviations, and the ranges for
academic optimism and each of the subscales. The School Academic Optimism Survey (SAOS)
was utilized to measure schools’ levels of academic optimism. In this study, using Cronbach’s
Alpha, the reliability estimate for the overall survey in this study was .98. In addition, the
estimates of reliability for the properties of academic optimism (collective efficacy, faculty trust,
and academic emphasis) were .95, .94, and .95, respectively. The remainder of the resources
aligned to the research questions were the Failing Schools List, Title I high schools’ CCR
Scores, graduation rate, and English and math ACT scores, which were all published on the
Alabama State Department of Education’s website.
Participants
A selection of Title I high schools on the Federal Programs section of the Alabama State
Department of Education website were invited to participate in the study. The schools were
selected from 38 school systems, including 82 Title I high schools. However, 22 superintendents
39
responded and provided consent for this study to be conducted in their districts. After gaining
full authorization for the IRB, I contacted 60 Title I high school administrators via email. The
administrators then provided the research design, procedures, protocol, consent, and the
electronic survey to their faculty. The teachers were informed that their participation was
voluntary. The SAOS survey was used to measure the teachers’ levels of academic optimism
(collective efficacy, faculty trust, and academic emphasis) within Title I high schools.
Data Collection Procedures
A selection of Title I high schools was acquired through the Alabama State Department
of Education webpage for the 2018-2019 school year. The Title I high schools in this study had
free and reduced lunch percentages ranging from 29.26% to 98.28%. Title I high school teachers
throughout the state of Alabama participated in the study.
I received authorization from the University of Alabama’s IRB to contact 38
superintendents throughout Alabama because I was seeking 82 Title I high schools (which
include a 12th-grade level) to be a part of the study. After gaining approval from IRB (Appendix
B), I then contacted the selected superintendents of the Title I high schools in Alabama to gain
permission to conduct the research (Appendix C). Each superintendent was provided a summary
of the research design, procedures, protocol, and consent, a copy of the School Academic
Optimism Survey (SAOS), a copy of the researchers Internal Review Board approval to make
contact, and the contact information for both the researcher and the dissertation chairpersons.
After obtaining consent from the selected superintendents, I provided each superintendent’s
documentation verifying authorization to the IRB. Next, I emailed 38 superintendents seeking
consent for teachers in Title I high schools within their system to voluntarily participate in my
study (Appendix D). However, I received written consent from only 22 superintendents.
40
Subsequently, I provided the IRB with the documentation of superintendents’ authorization,
totaling 60 Title I high schools within 22 school systems throughout the State of Alabama.
After gaining superintendents’ and the University of Alabama IRB authorization to
proceed with my study, I sent correspondences to school administrators to seek their consent and
assistance with administering the School Academic Optimism Survey (SAOS) electronically to
local schools. I provided a summary of the research design, procedures, protocol, consent, a copy
of the researchers IRB approval, and each superintendent’s documentation for me to proceed.
Since I was unable to enter schools due to the COVID-19 pandemic, I emailed school
administrators to seek assistance with the administration of the voluntary, anonymous survey.
School leaders then provided the School Academic Optimism Survey (SAOS), research design,
procedures, protocol, and consent documentation electronically to full-time certified secondary
teachers throughout 60 Title I high schools in Alabama.
The surveys were administrated via Qualtrics to each high school teacher. The teachers
also received a summary of the research design, procedures, protocol, and consent
documentation electronically. The participants were posed three initial questions before
proceeding; they were asked to provide consent, their employment location, and notate if they
were full-time teachers. If a teacher did not consent or validate that they were a full-time
certified teacher, the survey ended immediately.
Out of the 82 Title I high schools solicited, 60 Title I high schools participated in the
study, yielding a participation rate of 73%. A total of 1,391 teachers took the surveys. The
participation rates for each school are indicated in Table 3.
41
Table 3
SAOS Teacher Response Rate Per School
School
# of
Responses
# of
Teachers
Response
Rate
(pct)
School
# of
Responses
# of
Teachers
Response
Rate
(pct)
1
39
48
81.25
31
41
53
77.36
2
36
44
81.82
32
8
10
80.00
3
18
23
78.26
33
29
37
78.38
4
28
36
77.78
34
18
22
81.82
5
25
30
83.33
35
14
17
82.35
6
26
34
76.47
36
33
38
86.84
7
19
23
82.61
37
11
15
73.33
8
25
33
75.76
38
33
39
84.62
9
18
23
78.26
39
14
18
77.78
10
40
49
81.63
40
30
40
75.00
11
20
24
83.33
41
20
24
83.33
12
31
37
83.78
42
42
53
79.25
13
24
31
77.42
43
39
47
82.98
14
17
21
80.95
44
33
45
73.33
15
14
17
82.35
45
34
46
73.91
16
14
17
82.35
46
32
40
80.00
17
32
39
82.05
47
26
30
86.67
18
11
14
78.57
48
21
26
80.77
19
15
18
83.33
49
25
32
78.13
20
19
25
76.00
50
10
13
76.92
21
12
14
85.71
51
20
25
80.00
22
11
13
84.62
52
18
25
72.00
23
23
29
79.31
53
16
21
76.19
24
29
35
82.86
54
31
37
83.78
25
26
35
74.29
55
10
13
76.92
26
23
30
76.67
56
18
22
81.82
27
18
22
81.82
57
26
35
74.29
28
17
20
85.00
58
26
35
74.29
29
18
24
75.00
59
13
18
72.22
30
17
21
80.95
60
23
31
74.19
However, 1,379 participants fully completed the surveys. Three participants failed to
include the school where they were employed. Also, 9 participants started the survey but did not
answer all the questions. As a result, 12 surveys were removed from the study. The remainder of
42
the data: The Failing Schools List, CCR data, graduation rates, ACT with Writing ELA and math
data, and SES data were obtained from the Alabama State Department of Education website for
the 2018-2019 school year.
Accountability Instrumentation and Measures
The Failing Schools List is composed of schools that have been identified in the bottom
6% percent of schools in the state of Alabama, according to achievement test scores (AAA
Schools, 2019). In Alabama, high schools’ achievement is measured by 11th graders’ ACT with
Writing Scores in ELA and math. All schools that are identified as the lowest achieving, in the
bottom 6% of schools throughout the state of Alabama, are identified as Failing Schools. In this
study, Failing Schools status was a binary variable. Failing Schools were coded as 1, and non-
Failing Schools were coded as 0. There were 43 Failing Title I high schools and 17 non-Failing
Title I high schools included in the study.
According to the Alabama State Department of Education, The College and Career
Readiness (CCR) rate is calculated based on the number of students in a four-year cohort that
have obtained a CCR Indicator. The Alabama State Department of Education used the number of
seniors that have benchmarked on any ACT subtest, achieved a qualifying score on AP or IB
Exam, enlisted in the Military, gained approved transcript college or postsecondary credit while
in high school, obtained silver level or higher on the ACT WorkKeys, or have attained approved
industry credentials to obtain the CCR scores for high schools (Alabama State Department of
Education, 2019). CCR accounts for 10% of Alabamas High Schools State Report Card. To
receive points for CCR, high school students must achieve proficiency on any ACT Subtest,
possess a qualifying score on the AP or IB exam, enroll in the Military, provide an approved
transcript college or postsecondary credit while in high school, score silver level or higher on the
43
ACT WorkKeys, or obtain an agreed industry credential (Alabama State Department of
Education, 2019).
In addition, the graduation rate was computed according to the percentage of students
who graduated within four years of entering 9th grade and was multiplied by 30% because the
graduation rate equals 30% of high schools Alabama State Department of Education Report
Card Grade (Alabama State Department of Education, 2019). Last, the percentage of students
who achieved academic proficiency was computed according to the number of FAY 11th graders
who scored a 19 on the math and ELA segment of the ACT with Writing (Alabama State
Department of Education, 2017). Academic achievement makes up 20% of high schools
Alabama State Department of Education Report card scores (Alabama State Department, 2019).
SAOS Instrumentation and Measures
Academic emphasis, collective efficacy, and faculty trust in students and parents were
respectively measured by the Academic Emphasis Subscale of the Organizational Health
Inventory (Hoy & Miskel, 2005; Hoy et al., 1991), the Collective Efficacy Scale (Goddard,
2002; Goddard et al., 2004), and the faculty trust in Students and Parents Subscale of the
Omnibus Trust Scale (Hoy, 2002; Hoy & Tschannen-Moran, 2003). These constructs were
combined to create the academic optimism index. The foundational research on academic
emphasis, collective efficacy, and faculty trust in clients were integrated into the construct of
academic optimism (Hoy et al., 2006).
The School Academic Optimism (SAOS) has been used to examine schools levels of
academic optimism. Hoy et al. (2006) explained that academic optimism consists of behavioral
(academic emphasis), cognitive (collective efficacy), and emotional (faculty trust) constructs.
They affirmed that the three constructs coexist to enhance expectations that create a sense of
44
hope and motivation to learn. Overall, academic optimism produces a favorable environment
found to be possible at all levels of K-12 education (Hoy et al., 2006).
In this study, Title I high schools were the unit of analysis. The SAOS data from certified
Title I high school educators were collected via Qualtrics. The SAOS was used to measure
academic optimism through its sub-constructs: (collective teacher efficacy, faculty trust in
parents and students, and academic emphasis). The survey was composed of 30 questions using a
Likert scale format. Items 1-12 of the SAOS measured collective teacher efficacy ranging from 1
(Strongly Disagree) to 6 (Strongly Agree). Items 13-22 of the SAOS measured faculty trust in
parents and students. A Likert scale was used for items 13-22 of the SAOS ranging from 1
(Strongly Disagree) to 6 (Strongly Agree). The last segment of the SAOS, items 23-30, measured
academic emphasis. A Likert scale score from 1 (Rarely Occurs) to 4 (Very Often) was used to
measure academic emphasis.
Teachers’ responses to the School Academic Optimism Survey (SAOS) were aggregated
to produce a single school-level score. Socioeconomic status was used as a control variable in
research question one. As noted, the SAOS was composed of three components: collective
efficacy (questions 1-12), faculty trust (questions 13-22) in students and parents, and schools
academic emphasis (questions 23-30), which collaboratively produced a single academic
optimism score for each school. The scores were standardized using the earlier formulas created
by Hoy et al. (2006). Scoring the SAOS required averaging and reverse scoring for specific
questions (Hoy et al., 2006). Hoy et al. indicated that the standard score for collective efficacy
equals: [100X (collective efficacy - 3.96) /.33] + 500. In addition, the standard score for faculty
trust (SSFT) equals [100X (trust - 3.65) /.39] + 500. The standard score for academic
emphasis (SSAE) equals [100X (academic emphasis) - 2.75) /.26] + 500. Last, the standard
45
academic optimism score for each school was calculated by applying the following formula:
academic optimism equals [(SSCE) + (SSFT) + (SSAE)] divided by 3 (Hoy, n.d.).
Academic optimism scores are based on a normal distribution. The range of the scores is
between 200 and 800. The average academic optimism score is 500; therefore, a composite score
of 700 and up represents a positive school perception of academic optimism, while a composite
score of 300 or less represents a lower level and depicts a negative school perception of
academic optimism. Table 4 represents the range and meaning of academic optimism scores.
Table 4
School Academic Optimism (SAOS) and Interpretation
SAOS Score
Score Interpretation
200
Lower than 99% of schools
300
Lower than 97% of schools
400
Lower than 84% of schools
500
Average
600
Higher than 84% of schools
700
Higher than 97% of schools
800
Higher than 99% of schools
Data Analysis
The independent variables in Research Question 1 consisted of a selection of Title I high
schools identified as Failing and a selection of Title I high schools that were not identified as
Failing in Alabama, according to the Failing Schools List. Also, for RQ1, the dependent variable
was academic optimism, which consisted of academic emphasis, collective efficacy, and teacher
trust of clients, and a control variable, SES, which consisted of the percentage of students who
received free and reduced lunch. For the remainder of the research questions, the independent
variable was academic optimism. The dependent variables were CCR scores, graduation rates,
46
and 11th grade ACT with Writing ELA and math achievement scores in Title I high schools
throughout Alabama. The analysis included inferential statistics, where the alpha level was set at
.05 for each research question. In addition, multiple regression and bivariate correlations were
conducted via IBM SPSS 27.
First, several assumptions were required to be met in order to establish that the model had
more variance than the null model. The data needed to be linear, meaning the relationship
between the independent and dependent variables needed to be linear. Second, homoscedasticity
needed to be maintained, wherein the variance of the residual needed to be the same for any
value of the dependent variable. Third, independence of observations needed to exist, meaning
that observations could not be highly correlated with one another. Last, the data needed to be
normally distributed.
In the following analyses, the data met the assumptions of linear regressions, except for
the analyses involving ELA. After evaluating the assumptions, regression analyses were
conducted to examine the relationship between the independent and dependent variables. Table 5
outlines the statistical analysis used to evaluate each research question.
Table 5
Research Questions and Statistical Tests
Research Questions
Alpha
Level
Independent
Variables
Dependent
Variables
Control
Variable
Statistical
Test
1. Is there a significant
relationship between the levels of
academic optimism in a selection
of Title I high schools identified
on the Failing Schools List and in
a selection of Title I high schools
that are not identified on the
Failing Schools List in Alabama
despite SES?
.05
Selected Title I high
schools identified as
Failing and selected
Title I high schools
that have not been
identified as Failing
in Alabama
Academic
Emphasis,
Collective
Efficacy, and
Faculty Trust-
Academic
Optimism
Social
Economic
(SES)
Multiple
Regression
47
2. Is there a significant
relationship between schools’
levels of academic optimism and
CCR Scores in a selection of Title
I high schools throughout
Alabama?
.05
Academic
Emphasis,
Collective Efficacy,
and Faculty Trust-
Academic
Optimism
CCR Scores in
a selection of
Title I high
schools
N/A
Bivariate
Correlation
3. Is there a significant
relationship between schools’
levels of academic optimism and
the graduation rate in a selection
of Title I high schools throughout
Alabama?
.05
Academic
Emphasis,
Collective Efficacy,
and Faculty Trust-
Academic
Optimism
Graduation
Rate in a
selection of
Title I high
schools
N/A
Bivariate
Correlation
4. Is there a significant
relationship between schools’
levels of academic optimism and
11th graders’ ELA and math ACT
Achievement Scores in a
selection of Title I high schools
located in Alabama?
.05
Academic
Emphasis,
Collective Efficacy,
and Faculty Trust-
Academic
Optimism
11th grader's
English
Language Arts
and math
summative
ACT
proficiency
Scores in a
selection of
Title I high
Schools
N/A
Bivariate
Correlation
5. Is there a significant
independent contribution that
academic emphasis, collective
efficacy, and faculty trust have on
CCR Scores in a selection of Title
I high schools located in
Alabama?
.05
Academic
Emphasis,
Collective Efficacy,
and Faculty Trust-
Academic
Optimism
CCR Scores in
a selection of
Title I high
schools
N/A
Multiple
Regression
6. Is there a significant
independent contribution that
academic emphasis, collective
efficacy, and faculty trust have on
the graduation rate in a selection
of Title I high schools located in
Alabama?
.05
Academic
Emphasis,
Collective Efficacy,
and Faculty Trust-
Academic
Optimism
Graduation
Rate in a
selection of
Title I high
schools
N/A
Multiple
Regression
7. Is there a significant
independent contribution that
academic emphasis, collective
efficacy, and faculty trust have on
11th graders’ ACT Achievement
Scores in ELA and math in a
selection of Title I high schools in
Alabama?
.05
Academic
Emphasis,
Collective Efficacy,
and Faculty Trust-
Academic
Optimism
ACT
Achievement
Scores in
English and
math in a
selection of
Title I high
schools
N/A
Multiple
Regression
48
Regarding schools’ levels of academic optimism, the procedures used by Hoy et al.
(2006) were used to examine Title I high schools levels of academic optimism in this study.
First, to determine schools’ levels of collective efficacy (questions 1-12 of the SAOS), the
scores were reversed on the following items: 3, 4, 8, 9, 11, 12, which equated to 1 = 6, 2 = 5, 3
= 4, 4 = 3, 5 = 2, and 6 = 1 (Hoy, n.d.). Then, the average score was computed for each
participant on the first 12 items. Next, the scores for the first 12 items were added and then
divided by the number of items for the responses received. Last, the average collective efficacy
score was between 1 and 6. To obtain the average score, the average individual scores for all
teachers were added and divided by the number of teachers in the school who responded (Hoy,
n.d).
To gain schools’ levels of faculty trust (questions 13-22 of the SAOS), the scores were
reversed on item 22, which means that the response was scored as 1 = 6, 2 = 5, 3 = 4, 4 = 3, 5 =
2, and 6 = 1 (Hoy, n.d.). Then, the average score for each participant on the items 13 through 22
was computed. Last, the scores from the10 items were added and then divided by the number of
items for the responses received. The faculty trust average was between 1 and 6. To obtain the
average score, the average individual scores for all teachers were added and divided by the
number of teachers in the school who responded (Hoy, n.d.).
Last, to obtain schools’ levels of academic emphasis (questions 23-30 on the SAOS), the
items were scored from 1 to 4. Next, the average score for the SAOS, questions 23 through 30,
was computed. After adding the eight items, the sum was divided by the number of responses
received from teachers. The final computation was the academic emphasis score. To compute
the final academic optimism score, the following formula established by Hoy et al. (2006) was
used. Standardized scores for each construct were calculated based on the following formula:
49
Standard score for collective efficacy (SSCE) = [100X (collective efficacy - 3.96)
/.33] + 500
Standard score for faculty trust (SSFT) = [100X (trust - 3.65) /.39] + 500
Standard score for academic emphasis (SSAE) = [100X (academic emphasis) - 2.75)
/.26] + 500
The standard academic optimism score for each school was calculated by applying
this last formula: academic optimism = [(SSCE) + (SSFT) + (SSAE)] divided by 3
(Hoy. n.d.).
50
CHAPTER FOUR: RESULTS
Overview
This study examined the construct of academic optimism, its subconstructs of collective
teacher efficacy, faculty trust in students and parents and academic emphasis, and the
relationships to these Alabama’s accountability constructs identified as Failing and non-Failing
schools, College and Career Readiness (CCR), graduate rate, and English (ELA)/math ACT
scores in Title I high schools in Alabama while controlling for socioeconomic status. The
purpose of this study was to examine relationships that exist between academic optimism,
accountability indicators, and student achievement. Specifically, the study sought to provide a
framework for high school leaders in impoverished communities to advance school
organizational health in order to enhance student achievement throughout Alabama. This chapter
includes the procedures, research questions, hypotheses formulated, and measures used in the
study. The chapter provides a data analysis section, which includes statistical tests, descriptive
statistics, and the findings of the seven research questions posed in this study.
Descriptive Statistics
There were 43 Failing Title I high schools in this study and 17 Non-Failing Title I high
schools (N = 60). The average school status was .28, SD = .45. In addition, SES was included as
a control variable in examining the relationship between school status and academic optimism
and was measured on a 0-100 scale. The average SES score was 65.58, SD = 16.60. In addition,
CCR (N = 59) was measured on a scale from 0-100. The CCR score from one Title I high school
51
was not provided. The average CCR score was 65.69, SD = 19.53. Further, graduate rate (N =
60) was measured on a scale of 0-100. The average graduation rate was 88.84, SD = 7.33. Last,
ACT ELA and math achievement (N = 60) was also measured on a scale from 0-100. The
average ELA score was 28.95, SD = 14.33, and the average math achievement score was 27.77,
SD = 16.37. The descriptive statics are demonstrated in Table 6.
Further, a correlation table is provided in Table 7, which illustrates the relationship the
variables have with academic optimism and each other. The absolute relationship between the
variables ranges from .09 to .99. Most variables in the correlation matrix have a moderate
relationship with each other, which is an assumption of multiple regression. However, the
subcomponents of academic optimism were strongly correlated with academic optimism: faculty
trust and collective efficacy, r =.99 and academic emphasis, r = .98. In addition, the
subcomponents were highly correlated with each other, r > .98. It appears that these variables are
measuring the same construct and may not be able to be treated as individual variables in regard
to a multiple regression analysis
Table 6
Descriptive Statistics
N
M
SD
School Status
60
.28
.45
SES
60
65.58
16.60
CCR
59
65.69
19.53
Grad Rate
60
88.84
7.33
ACT ELA
60
28.95
14.33
ACT Math
60
27.77
16.37
CE
60
547.60
236.32
FT
60
593.57
195.20
AE
60
520.59
211.37
AO
60
553.92
211.13
52
Table 7
Correlation Table of Variables
AO
School
Status
SES
CCR
Grad Rate
ACT ELA
ACT Math
AE
CE
FT
AO
School
Status
-0.51
SES
-0.18
0.37
CCR
0.47
-0.44
-0.35
Grad Rate
0.36
-0.39
-0.09
0.67
ACT ELA
0.42
-0.67
-0.54
0.77
0.53
ACT Math
0.39
-0.60
-0.53
0.70
0.48
0.94
AE
0.98
-0.48
-0.19
0.45
0.36
0.41
0.38
CE
0.99
-0.52
-0.17
0.45
0.34
0.41
0.41
0.95
FT
0.99
-0.49
-0.18
0.48
0.37
0.42
0.38
0.95
0.97
Note. All relationships are significant to the p<.005 level
Findings
For every research question, a hypothesis was formulated. The findings are indicated
below: 1. There will be a significant relationship between schools’ levels of academic optimism
in a selection of Title I high schools identified on the Failing Schools List and in a selection of
Title I high schools that are not identified on the Failing Schools List in Alabama despite SES.
H1: There will be a significant relationship between schools’ levels of academic
optimism in a selection of Title I high schools identified on the Failing Schools List and in a
selection of Title I high schools that are not identified on the Failing Schools List in Alabama
despite SES.
Regarding RQ1, all of the necessary assumptions were met. An omnibus ANOVA
showed that a model including SES and school status explained more variance in academic
optimism than the null model. Based on the results of the multiple regression analysis, there was
a very significant relationship found between schools’ status (according to AAA’s Failing
School’s List) and academic optimism when controlling for SES (r = .51, p <.001). Further,
53
negative beta values were associated with schools identified as Failing Schools (1 = school
status; Β = -242.60, SE = 56.07). As a result, the SAOS for Failing Schools, as identified by the
AAA, cannot surpass 557.4, which is within the average range on the School Academic
Optimism Scale. Thus, the results of this analysis revealed that Failing Schools’ highest level of
academic optimism was 557.4 versus 800 and as indicated in the SAOS. However, there was not
a significant relationship between SES and academic optimism (p > .05). Hence, the H1 was
supported. The model coefficients are shown in Table 8.
Table 8
Standardized Coefficients Table SES and School Status By AO
Model
Beta
T
Sig.
(Constant)
6.30
.00
SES
0.39
0.26
.80
School Status
-242.60
-4.33
.00
H2: There will be a significant relationship between schools’ levels of academic
optimism and CCR Scores in a selection of Title I high schools throughout Alabama.
Evaluating the data from research Q2, all of the assumptions were met. A bivariate
correlation was performed to examine the relationship between CCR and academic optimism. A
significant amount of variance in academic optimism was explained by the model, including
CCR, versus the null model was demonstrated by an omnibus ANOVA, r (59) = .47, r2 = .22, F
= 15.80, p < .001. Consequently, there was a significant relationship between CCR and academic
optimism, Β = .04, SE = .01, t = 3.98, intercept = 42.00, p <.001. Based on the findings of this
analysis, the hypothesis was supported. Schools’ levels of academic optimism were a very
significant predictor of the percentage of CCR points gained on the Alabama State Department
of Education Report Card. Based on the results of this study, starting at 42 points, for every 1-
54
point increase in academic optimism, there was a .04-point increase in CCR. Therefore, H2 was
supported.
H3: There will be a significant relationship between schools’ levels of academic
optimism and the graduation rate in a selection of Title I high schools throughout Alabama.
A bivariate correlation was conducted to examine the relationship between graduation
rate and academic optimism. A significant amount of variance explained by the entered model
versus the null model was demonstrated by an omnibus ANOVA, r(60) = .35, r 2 = .12, F = 7.90,
p < .01. In addition, there was a positive relationship between the high schools’ graduation rate
and schools’ levels of academic optimism, B = .01, SE = .00, t = 2.81, intercept = 82.18, p <.01.
This means that starting at an 82.18 graduation rate, for every 1-point increase in academic
optimism, there was a .01-point increase in the graduation rate. Thus, the relationship between
the graduation rate and academic optimism was very significant. As a result, H3 was supported.
H4: There will be a significant relationship between schools’ levels of academic
optimism and 11th graders’ ELA and math ACT with Writing Achievement Scores in a selection
of Title I high schools located in Alabama.
A bivariate correlation was performed in which it was determined that there is a lack of
difference between the null model and the model, including academic optimism as a predictor of
ACT ELA scores (p > .05). The entered model did not explain more variance than the null
model. Thus, the proposed model, which examined the relationship between ELA scores and
academic optimism, was not further investigated. As a result, this portion of the hypothesis was
rejected.
However, the results of an omnibus ANOVA comparing the null model to the model
including academic optimism as a predictor of ACT math was very significant, r(60) = .39, r 2 =
55
.15, F = 10.27, p <. 005. A bivariate correlation analysis showed a moderate positive relationship
between math ACT scores and academic optimism, Β = .03, SE = .09, t = 3.20, intercept = 11.11,
p <.005. Starting at 11.11, for every 1-point increase in academic optimism, there was a .03-point
increase in math ACT scores in high schools in Alabama (p <. 005). Based on the results of the
analysis, H4 was supported.
H5: There will be a significant independent contribution that academic emphasis,
collective efficacy, and faculty trust has on CCR Scores in a selection of Title I high schools
located in Alabama.
Multiple regression analyses were performed to determine if there was a
significant independent contribution from the three elements of academic optimism in predicting
CCR, graduation rate, and student achievement (ELA and math ACT Scores). In regard to CCR,
there was a significant amount of variance explained by the model predicting CCR using the
predictors, academic emphasis, collective efficacy, and faculty trust versus the null model, r(59)
= .49, r 2 = .24, F = 5.84, p <.005. Conversely, the results of the multiple regression analysis
showed that there was not a significant independent contribution from academic emphasis,
collective efficacy, and faculty trust in predicting CCR in Title I high schools in Alabama (p >
.05). As a result, H5 was rejected. Model coefficients are indicated in Table 9.
Table 9
Standardized Coefficients Table AE, CE, and FT by CCR
Model
Beta
T
Sig.
(Constant)
3.26
.02
AE
.01
.03
.98
CE
-.35
-.76
.45
FT
.88
1.58
.12
Note. CCR = .01(AE)*-.42(CE)*.88(FT)
56
H6: There will be a significant independent contribution that academic emphasis,
collective efficacy, and faculty trust has on the graduation rate in a selection of Title I high
schools located in Alabama.
In addition, the results of the omnibus ANOVA showed that there was a significant
amount of variance explained by the model predicting graduation rate using predictors, academic
emphasis, collective efficacy, and faculty trust, versus the null model, r(60) = .38, r 2 = .14, F =
3.13, p <.001. Much similar to CCR, the results of a multiple regression analysis showed that
there was not a significant independent contribution from academic emphasis, collective
efficacy, and faculty trust in predicting graduation rate in Title I high schools in Alabama (p >
.05). Thus, H6 was rejected. The model coefficients are shown in Table 10.
Table 10
Standardized Coefficients Table AE, CE, and FT By Graduation Rate
Model
Beta
T
Sig.
(Constant)
20.09
.00
AE
.03
.18
.86
CE
-.16
-.90
.37
FT
.30
1.38
.17
Note. Graduation Rate = .07(AE)*-.52(CE)*.80(FT)
H7: There will be a significant independent contribution that academic emphasis,
collective efficacy, and faculty trust have on 11th graders’ ACT with Writing Achievement
Scores in ELA and math in a selection of Title I high schools in Alabama.
Unlike CCR scores and the graduation rate, the assumption of multicollinearity was
violated with regard to ELA ACT scores. Still, there was not a significant amount of variance
explained by the model predicting ACT ELA scores using the predictors, faculty trust, academic
emphasis, and collective efficacy r(60) = .09, r 2 = .01, F = .14, p >. 05). Therefore, a portion of
57
the hypothesis was not supported because there was no relationship between ACT ELA scores
and academic optimism. Consequently, H7 was rejected. The model coefficients are provided in
Table 11.
Table 11
Standardized Coefficients Table AE, CE, and FT by ACT ELA Scores
Model
Beta
T
Sig.
(Constant)
1.27
.21
AE
.28
.11
.91
CE
.13
.39
.70
FT
-.22
-.55
.58
Note. ELA = .05(AE)*.25(CE)*-.35(FT)
Similar to CCR and the graduation rate, math ACT met all the assumptions of multiple
regression. An omnibus ANOVA for math ACT results showed a significant amount of variance
explained by the model predicting a school’s ACT math scores using predictors FT, AE, and CE
versus the null model, r(60) = .39, r 2 = .15, F = 10.27, p <.05. However, much like CCR and
graduation rate, a multiple regression analysis showed that there was not a significant
independent contribution from any of academic optimism’s subcomponents in predicting a
school’s ACT math scores in Title I high schools in Alabama (p > .05). Therefore, H7 was
rejected. The model coefficients are found in Table 12.
Table 12
Standardized Coefficients Table AE, CE, and FT By ACT Math Scores
Model
Beta
T
Sig.
(Constant)
1.85
.07
AE
-.05
-.16
.88
CE
.48
1.20
.24
FT
-.20
-.41
.68
Note. ACT Math Scores = -.06(AE)*.69(CE)*-.24(FT)
58
Variables Relationship to Academic Optimism
Evaluating the significance of all of the variables in this study in one single model, a
multiple regression analysis revealed that there was a very significant relationship between
school status and academic optimism, p <.001. There was also a significant relationship between
CCR and academic optimism, p .<.05. However, there were no significant relationships between
the remainder of the variables and academic optimism, p >.05. The model coefficients are
identified in Table 13.
Table 13
Standardized Coefficients Table School Status, SES, CCR, Grad Rate, ACT ELA, ACT Math By
AO
Model
Beta
T
Sig.
(Constant)
1.05
.30
School Status
-221.06
-3.08
0.00
SES
0.47
0.26
0.80
CCR
4.73
2.12
0.04
Grad Rate
0.16
0.03
0.97
ACT ELA
-5.66
-0.98
0.33
ACT Math
2.30
0.56
0.58
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CHAPTER FIVE: DISCUSSION
Overview
Academic optimism is composed of a transactional relationship among the three
domains: collective efficacy, faculty trust, and academic emphasis. Hoy et al. (2006) described
collective efficacy as the cognitive domain and defined collective efficacy as the belief that the
faculty as a whole has the support, skills, and knowledge to collaboratively organize and execute
goals necessary to have a positive impact on students. Faculty trust in students and parents was
deemed the affective domain. Faculty trust was identified as a readiness to be vulnerable based
on the belief that that party is benevolent, competent, reliable, honest, and open. Last, academic
emphasis was labeled as the behavioral domain and was identified as the extent to which a
school is driven by a quest for academic excellencea press for academic achievement (Hoy et
al., 2006). Essentially, Hoy et al. (2006) revealed that with higher levels of collective teacher
efficacy, faculty trust in students and parents, and academic emphasis, higher levels of student
achievement were demonstrated.
Hoy et al. (2006) found that academic optimism was a strong predictor of student
achievement. Specifically, they found a significant relationship between academic optimism and
student achievement when controlling for SES. The researchers indicated that a reciprocal
relationship existed among three properties: collective efficacy, faculty trust, and academic
emphasis. The findings in this study support Hoy et al.’s research. There was a relationship
60
between Alabama’s 2019 Failing Schools List and academic optimism, despite SES. There was
also a relationship between academic optimism and CCR, the graduation rate, and math ACT
with Writing assessment scores. However, the assumption of multicollinearity was violated
regarding ELA ACT Scores. Multiple regression analysis showed that there was not a significant
independent contribution from any of academic optimism’s subcomponents. In other words, the
study results did not demonstrate that one component of academic optimism was more
significant than the other. However, when all three subcomponents were combined to create
academic optimism, and academic optimism was enhanced, student achievement increased as
well.
Discussion
The data analysis from this study confirmed a very significant relationship between
school status and academic optimism when controlling for SES. Conversely, there was not a
significant relationship between SES and academic optimism. Therefore, the hypothesis was
supported. Similar to previous studies that measured the relationship between academic
optimism and student achievement, there was a significant positive relationship between
academic optimism and schools’ status despite SES (Cassity, 2012; Hoy et al., 2006; McGuigan
& Hoy, 2006). However, the findings added new knowledge to research regarding academic
optimism since the relationship between the Failing Schools List and academic optimism had not
been examined previously.
I perceive that there was a very significant relationship between a sample of Title I high
schools’ status and academic optimism because Failing School Status is derived from student
performance and achievement on summative tests. In my experience as an educator working
within Title I secondary schools in Alabama that may have lacked academic optimism, these
61
schools endured high rates of suspensions, teacher burnout, disciplinary referrals, teacher
turnover, or additional variations of disruptions to the learning environment. As a result, in these
settings, academic achievement was frequently compromised. In essence, in my tenure in Title I
secondary schools, it seems a portion if not all components of academic optimism were not
present in the schools that did not perform well academically. Hence, to individuals within the
educational arena serving in Title I secondary settings that lack segments of academic optimism,
the results of this study may appear plausible.
There was also a positive relationship between CCR and academic optimism. Based on
the analysis, the hypothesis was supported. As noted, the findings supported previous research,
which indicated a positive relationship between academic optimism and student achievement
(Hoy et al., 1990; Hoy & Hannum, 1997; Hoy & Sabo, 1998). Nevertheless, new knowledge was
obtained about academic optimism regarding its relationship with CCR.
CCR indicators all include post-graduation avenues for seniors in the school. In my
experience as an educator, I have witnessed teachers and schools that exhibit the components of
academic optimism advocate for their students to attend college, assist with Financial Aid, call
colleges and universities, and even encourage students to complete resumes, letters of interest,
etc., towards their careers. However, within schools where the properties of academic optimism
may not have been present, those teachers did not promote post-graduation activities. In non-
optimistic schools, teachers were frequently in survival mode, meaning their goal was to strive to
make it (deliver instruction, not be consumed in an altercation, etc.) from one day to the next. In
addition, some teachers in non-optimistic settings did not believe that the students possessed the
skillset to make it in college and perform well in their careers. As a result, based on the
62
aforementioned rationale, I can foresee why there is a significant relationship between CCR and
academic optimism.
Furthermore, there was a positive relationship between the high school graduation rate
and schools’ levels of academic optimism; hence, the hypothesis was supported. These findings
will add to the body of research regarding academic optimism since the relationship between the
graduation rate and academic optimism had not been explored prior to this study. The graduation
rate is computed based on the number of seniors that graduate from high school within a cohort. I
believe that there was a significant relationship between graduation rate and academic optimism
for similar reasons that significance was found between CCR and academic optimism.
It is my belief, based on my experience as a leader and educator, that schools with high
graduation rates possess teachers and leaders who exhibit academic optimism. School educators
and leaders that demonstrate academic optimism frequently: collaborate, communicate, believe
in students, encourage students, and support students towards the goal of graduation. However,
schools that lack academic optimism may not provide support, collaborate, communicate, or
promote achievement towards graduation. Again, managing day-to-day operations may be the
ultimate goal in schools that lack academic optimism. Thus, the significant relationship between
graduation rate and academic optimism is conceivable.
However, the ELA correlation analysis revealed that the entered model did not explain
more variance than the null model. As a result, the proposed model, which examined the
relationship between ELA scores and academic optimism, was not further investigated. Thus,
this portion of the hypothesis was rejected.
Evaluating the possible rationale for why ELA ACT Scores did not have a significant
relationship to academic optimism, I surmised that ELA teachers might not have been well
63
represented in the study. I asked for participation from all school educators in a sample of Title I
high schools. Therefore, ELA teachers may not have been represented. In a future study, if
identifying participants' specific content area of instruction will not jeopardize the respondents’
identity, it may be beneficial to insert a preliminary question that will include the participants
area of specialization. Hence, researchers will be able to further scrutinize schools' levels of
academic optimism in relation to subject matter content specialization.
However, the results of an omnibus ANOVA comparing the null model to the model,
including academic optimism as a predictor of ACT math, were significant. Therefore, the
hypothesis was supported. These findings will contribute to the body of research regarding
academic optimism since the relationship between the ACT with Writing Scores and academic
optimism had not been investigated prior to this study.
Unlike ELA ACT, there was a significant relationship between math ACT and academic
optimism. Presently, the Alabama State Department of Education has revealed that schools
possess fewer math teachers. However, the participation rates from schools were relatively
moderate to high. As a result, it may be likely that math teachers participated in the study and
were able to provide insight regarding academic optimism from a mathematical teacher’s
perspective.
Although there was a significant amount of variance explained by the model predicting
CCR, there was not a significant independent contribution from faculty trust, academic
emphasis, and collective efficacy in predicting CCR in Title I high schools in Alabama. As a
result, the hypothesis was rejected. The independent contributions of academic optimism in
predicting CCR had not been studied previously. Therefore, the findings need to be further
explored. A significant amount of variance was explained by the model predicting the graduation
64
rate; however, there was not a significant independent contribution from faculty trust, academic
emphasis, and collective efficacy in predicting the graduation rate in Title I high schools in
Alabama. Therefore, the hypothesis was rejected. Similarly, the independent contributions of
academic optimism in predicting the graduation rate had not been examined previously.
Therefore, the findings need to be further explored.
Examining the relationship between ELA scores and academic optimism, the entered
model did not explain more variance than the null model; as a result, the proposed model was not
further investigated. Thus, this portion of the hypothesis was rejected. Similarly, the independent
contributions of academic optimism in predicting the ELA ACT with Writing had not been
examined previously. Thus, the findings need to be further researched.
Last, the math ACT results showed a significant amount of variance explained by the
model predicting a school’s ACT math scores using predictors FT, AE, and CE versus the null
model. However, there was not a significant independent contribution from any of academic
optimism’s subcomponents (faculty trust, academic emphasis, and collective efficacy) in
predicting a school’s ACT math scores in Title I high schools in Alabama. Therefore, the
hypothesis was rejected. Likewise, the independent contributions of academic optimism in
predicting the math ACT with Writing had not been examined previously. Therefore, the
findings need to be further examined.
In regard to the lack of significant independent contribution that academic emphasis,
collective efficacy, and faculty trust have on CCR, graduation rates, and 11th graders’ ACT with
Writing Achievement Scores, a correlation analysis revealed the relationship the variables have
with one another and academic optimism. The correlation variables are demonstrated in Table 7.
I perceive that the variables similar values were the reason that a significant independent
65
contribution was not evident in this study. However, the concept of academic optimism requires
all three properties to exist in order to enhance student achievement. Therefore, I can deduce that
all three components of academic optimism share similar value and significance, thus, explaining
why a significant independent contribution of academic optimism was not identified in
connection to CCR, graduation rate, achievement on the ELA, and math portions of the ACT.
Implications for Further Research
As a result of the findings in this study regarding the relationship between accountability
mandates and academic optimism, there are implications for future research. Accountability
measures have existed for decades. State and federal accountability measures will not become
obsolete futuristically. To receive federal funding, local schools are bound by accountability
mandates. In addition, in Alabama, the legislature established additional accountability for
schools based on annual summative examinations that measure students’ mastery of Alabama’s
ELA and math course of study standards (Alabama Accountability Act, 2013). The schools in the
bottom 6% of all the public schools are labeled as Failing Schools. Currently, the Failing Schools
List predominantly comprises high schools, which have been shown to have lower Alabama
State Department of Education Report Card scores.
To ensure academic growth, it would be beneficial to conduct additional studies to further
validate the relationship between academic optimism and student achievement. Research studies
consisting of larger sample sizes could be evaluated to determine the significance of the
relationship between academic optimism in larger populations. Also, longitudinal studies that
include elementary, middle, and high school students’ data could also be examined in Title I
schools in order to further expand the body of research on academic optimism. Further, future
studies regarding accountability and academic optimism could provide respondents the
66
opportunity to identify their content area so that researchers can provide prescriptive feedback on
academic optimism and determine who is lacking input in the study if providing this information
does not jeopardize the respondent’s identity.
Beyond student achievement, different data (discipline data, student attendance, teacher
turnover) could be studied to determine if there is a relationship between other school-level
indicators that more frequently impact impoverished communities and academic optimism.
Furthermore, additional research could transpire in a variation of school environments, from
urban and metropolitan low socioeconomic communities, to allow for an expansion of research
involving academic optimism.
Implications for District Leaders
Based on the results of the conducted analysis, this study could be used by
superintendents and district leaders with Title I high schools in Alabama seeking to improve
student achievement. District leaders serve as a model for school leaders, teachers, and
employees. Therefore, after observing teachers’ instruction in classrooms and examining
teachers’ SAOS levels, district-level employees could then provide prescriptive support and
model evidence-based practices to enhance academic optimism. For example, Questions 1-12 of
the SAOS are related to collective efficacy. This portion of the SAOS evaluates if teachers feel
safe, supported, and have the ability to perform collectively in order to accomplish school-related
goals (Hoy et al., 2006). Therefore, district leaders should optimistically interact with schools
and support schools to promote collective efficacy. In fact, district leaders should promote
opportunities for district, teacher, and school collaboration (Donohoo et al., 2018). For example,
there could be days on the district calendar designated for collaboration before school starts,
during the school year, or in the summer. In addition, to ensure that each school has support,
67
district leaders could organize and promote mentoring programs, where teachers serve as
mentors for novice teachers or for all teachers who need support in each school building.
Essentially, mastery-level expertise should be encouraged and supported from the district level
(Hattie, 2008).
Questions 13-22 of the SAOS address faculty trust of students and parents. This segment
of the survey relates to if teachers feel they can trust parents and students to be reliable and
committed to success. To enhance faculty trust, district leaders should strive to emulate positive
relationships with parents and the community. District leaders are capable of empowering
principals, faculty, staff, parents, and students by modeling open, honest, and respectful
communication that exemplifies and elucidates the expectations of the school community in its
entirety (Forsyth et al., 2011). Enhancing positive relationships from the district level sets the bar
for school-level employees. The effect of setting an expectation of positive relationships with
parents and the community can spread from the top throughout schools (Bryk & Schneider,
2002).
Last, the school community should promote high behavioral and academic expectations.
Questions 23-30 on the SAOS examined academic emphasis. Superintendents, school
administrators, district leaders, teachers, staff, stakeholders, parents, and students should actively
promote high expectations in terms of academics and behavior (Hattie, 2008). District leaders
should encourage school leaders to publicly promote academic and behavioral excellence
throughout the school system. District leaders could also promote academic excellence on the
school system’s website, via social media, in newspapers, through media coverage, and
incentives.
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Implications for School Leaders
Similar to this study and previous studies involving academic optimism, school leaders
should first measure their schools’ levels of academic optimism (Beard et al., 2010; Hoy et al.,
2006; McGuigan & Hoy, 2006; Smith & Hoy, 2007). Next, schools striving to increase student
achievement scores should examine the latent constructs of academic optimism individually to
determine which areas teachers have indicated need improvement. Finally, it may be beneficial
for school administrators to increase evidence-based practices to enhance schools’ collective
efficacy, faculty trust in students and parents, and academic emphasis in areas that teachers rated
optimistically low (Hattie, 2008). For example, school leaders striving to enhance collective
efficacy could organize professional learning communities (PLCs), offer variations of support,
and create a climate for all teachers to be optimistic, vulnerable, and innovative (Hattie, 2008). In
addition, school leaders should enhance a collaborative culture and climate by allowing teachers
to visit other classrooms for support. In essence, school leaders should strive to demonstrate and
facilitate opportunities for teachers to communicate and interact in order to partner and
communicate shared expectations for the advancement of school children (Hoy, 2002).
One way for school leaders to advance faculty trust in parents and students is to enhance
and model positive interactions with students and parents. Essentially, to enhance faculty trust,
there should be opportunities for respectful, open, and honest communication (Butler & Cantrell,
1984; Hoy et al., 2006). Furthermore, as a school leader, it would be beneficial to facilitate
celebrations involving the collaboration of the teachers, parents, and students to establish
optimistic relationships and a sense of community (Forsyth et al., 2006). To increase faculty
trust, administrators should encourage positive teacher, student, and parent communication and
relationships (Bryk &Schneider, 2002)
69
Furthermore, school administrators should seek grant funding and other resources that
will help students excel based on the principles of Maslow’s Hierarchy of Needs (Maslow,
1943). Leaders should strive to ensure that students are safe, have the resources, and are capable
of performing in an environment conducive to learning (Maslow, 1943). In addition, leaders
should build positive relationships with students and exude high expectations in terms of
academics and behavior with consistency and fairness. School leaders should also publicly
foster, communicate, acknowledge, and celebrate behavioral and academic achievement (Hattie,
2008; Hoy et al., 2006). Last, school leaders should facilitate academic and behavioral
celebrations to recognize students achieving the school’s mission and vision towards success.
Implications for Teachers
School teachers striving to build the individual components of academic optimism:
collective efficacy, faculty trust in students in parents, and academic emphasis could use
research-based strategies to enhance academic optimism. To build collective efficacy, school
teachers could promote social persuasion by serving as mentors for novice teachers and offering
public praise for positive behaviors through (a) vicarious experiences, working collaboratively to
visit each other’s classrooms, (b) affective state, promoting a positive school culture and climate
by exhibiting optimism, holding everyone accountable while providing support, and (c) by
enhancing mastery experience opportunities for all teachers to achieve mastery and success of
individual and school-related goals (Bandura, 1997; Hattie, 2008).
According to Hattie (2008), it is essential that “parents are educated on the language of
schooling so that the home and school can share in the expectations, and the child does not have
to live in two worlds” (p. 70). As a result, to enhance the faculty trust of parents and students,
schoolteachers should frequently communicate with parents to ensure that parents are
70
knowledgeable and supportive of the mission and vision of the school. When teachers
communicate, collaborate, listen, and allow parents to have positive interactions in schools,
strong positive connections with schools can occur (Bryk & Schneider, 2002). Teachers can then
develop faculty trust with the parents and students. To enhance academic emphasis, teachers
must build positive relationships with students, which is a deterrent to disciplinary issues. In
addition, teachers must believe their students can achieve, stress the importance of academic
performance, offer resources, foster academic and behavioral support, and frequently provide
positive incentives for students who strive to perform (Hattie, 2008).
Implications for Policymakers
Schools across the nation are responsible for educating students to prepare them for
college and/or careers. Although every state is provided the option to refute funding from the
federal government, the funding is most often needed, especially in impoverished communities.
In Alabama, schools in impoverished communities rely on funding from the federal government
and the State Department to operate efficiently. However, the federal government and the
Alabama State Department of Education established guidelines and stipulations in order for state
schools to receive supplemental funding (U.S. Department of Education, n.d.b.). Title I and other
Title funding from the federal government are used to ensure schools have supplemental
resources and services to remain operational. However, federal funding is tied to federal
regulations and mandates.
In Alabama, accountability mandates have been established by the Alabama State
Department of Education based on requirements from the United States Department of Education
federal government (U.S. Department of Education, n.d.a.). Based on the Every Student
Succeeds Act (ESSA), established by President Barack Obama in 2015, annually, the local and
71
federal government publishes Report Cards that will include achievement data (U.S. Department
of Education, n.d.a). Also, the Alabama State Department of Education Accountability
Guidelines indicates that Alabama’s high schools are required to graduate students college and/or
career-prepared. In addition to the State Report Card, AAA establishes another level of
accountability for schools in Alabama. The Failing Schools List was created by policymakers in
Alabama and is published annually.
Hoy et al. (2006) indicated, “The reform and accountability movements have promoted a
press toward the academic achievement of all students (No Child Left Behind Act, 2002). The
focus of schooling is clear-it is an academic one. A push for academic achievement, however, in
an environment where teachers do not feel efficacious is a recipe for frustration and stress. The
challenge is to create school conditions in which teachers believe they are up to the task and so
are their students” (p. 441). As a result, policymakers should be cognizant that some teachers can
easily become overwhelmed by the stress and weight that too many accountability measures
have placed on schools with extreme cultural challenges. Therefore, policies should enhance
mechanisms to encourage teachers and students to believe that they are equipped to be effective.
Currently, there is a crisis in Alabama to retain teachers (Smith, 2022). Thus, it is pivotal that
policymakers are aware that too many accountability mandates coupled with the lack of support
and resources may enhance stress and frustration and may influence teachers to leave the
teaching profession altogether.
Delimitations
The convenience sample consisted of 60 Title I High schools in Alabama. In order to
examine if there was a relationship between academic optimism and the Failing Schools List,
despite SES, the sample in this study was limited to schools in low socioeconomic communities.
72
In addition, a section was not included to distinguish the school departments or specific content
areas of teachers being represented in the study. As a result, there may be content specialists who
were not represented in this study.
Limitations
Several limitations transpired while developing this study. First, it was difficult to contact
superintendents. Second, due to the impact of the COVID-19 pandemic, physical visitations to
school systems were limited. Participation rates may have been higher, but visitations were not
allowed. Then, the SAOS was not distributed in person; instead, it was collected and
administered to high school teachers electronically via Qualtrics due to the COVID-19
pandemic. To curtail the spread of the virus throughout the school community, schools in
Alabama disallowed visitors from entering campuses. Another limitation was the data used in
this study was based on the latest publications of the Failing School List and the Alabama State
Department of Education Report Card; however, the Failing Schools List and the Alabama State
Department of Education’s Report Card have not been updated since the pandemic commenced.
As a result, the data from this study was from the 2018-2019 school year.
Conclusion
Though poverty has been historically noted as a barrier to achievement, high schools are
expected to remain above the bottom 6% of schools in Alabama via AAA and enhance college
and careers, the graduation rate, and student achievement, as measured by the annual Alabama
State Department of Education Report Card. Leaders and educators within Title I high schools
must embrace the trend of state and federal accountability measures by researching and
implementing evidence-based strategies that surpass the notion of low SES. There is currently a
body of research that provides evidence that indicates that school-level factors improved student
73
achievement, despite SES. Academic optimism is a construct that has had proven results (Bevel
& Mitchell, 2012; Cassity, 2012, Hoy et al., 2006; McGuigan & Hoy, 2006; Smith & Hoy, 2007;
Tschannen-Moran et al., 2013). As a result, school leaders throughout the nation should assess,
analyze, and address their teachers’ levels of academic emphasis, collective efficacy, and faculty
trust and implement evidence-based practices to enhance overall student achievement and
success (Hoy et al., 2006).
In this study, a significant relationship between Alabama’s Failing Schools List and
academic optimism was revealed, despite SES. A significant relationship between academic
optimism and a segment of Alabama’s high school accountability indicators: CCR, graduation
rate, and math ACT with Writing, was also indicated in this study. Based on the findings of this
study, when combined, the properties of academic optimism (academic emphasis, collective
efficacy, and faculty trust) have a relationship with student achievement in a sample of
Alabama’s Title I high schools.
74
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Appendix A: School Academic Optimism Survey (SAOS)
SAOS Survey for Title I High Schools
Start of Block: Default Question Block
Procedures, protocol, and consent information for academic optimism study Please review the
procedures and protocol for this study in the link attached to this question. By clicking yes, you
acknowledge that you have read the procedures and protocols. By clicking yes, you are agreeing
to participate in this study. Your individual responses will remain anonymous. If you select no,
the survey will end immediately. Thank you in advance.
o Yes (1)
o No (2)
Skip To: End of Survey If Procedures, Protocol, and Consent for Academic Optimism Study ! = Yes
I am a certified teacher in this School.
o Yes (1)
o No (2)
Skip To: End of Survey If I am a certified teacher in this School. ! = Yes
I am a teacher at one of the following schools:
Page Break
82
Q1. Teachers in this school are able to get through to the most difficult students.
o Strongly Disagree (1)
o Disagree (2)
o Somewhat Disagree (3)
o Some Agree (4)
o Agree (5)
o Strongly Agree (6)
Q2. Teachers here are confident they will be able to motivate their students.
o Strongly Disagree (1)
o Disagree (2)
o Somewhat Disagree (3)
o Somewhat Agree (4)
o Agree (5)
o Strongly Agree (6)
83
Q3. If a child doesn't want to learn teachers here give up.
o Strongly Disagree (1)
o Disagree (2)
o Somewhat Disagree (3)
o Somewhat Agree (4)
o Agree (5)
o Strongly Agree (6)
Q4. Teachers here don’t have the skills needed to produce meaningful results.
o Strongly Disagree (1)
o Disagree (2)
o Somewhat Disagree (3)
o Somewhat Agree (4)
o Agree (5)
o Strongly Agree (6)
84
Q5. Teachers in this school believe that every child can learn.
o Strongly Disagree (1)
o Disagree (2)
o Somewhat Disagree (3)
o Somewhat Agree (4)
o Agree (5)
o Strongly Agree (6)
Q6. These students come to school ready to learn.
o Strongly Disagree (1)
o Disagree (2)
o Somewhat Disagree (3)
o Somewhat Agree (4)
o Agree (5)
o Strongly Agree (6)
85
Q7. Home life provides so many advantages that students are bound to learn.
o Strongly Disagree (1)
o Disagree (2)
o Somewhat Disagree (3)
o Somewhat Agree (4)
o Agree (5)
o Strongly Agree (6)
Q8. Students here just aren’t motivated to learn.
o Strongly Disagree (1)
o Disagree (2)
o Somewhat Disagree (3)
o Somewhat Agree (4)
o Agree (5)
o Strongly Agree (6)
86
Q9. Teachers in this school do not have the skills to deal with student disciplinary
problems.
o Strongly Disagree (1)
o Disagree (2)
o Somewhat Disagree (3)
o Somewhat Agree (4)
o Agree (5)
o Strongly Agree (6)
Q10. The opportunities in this community help ensure that these students will learn.
o Strongly Disagree (1)
o Disagree (2)
o Somewhat Disagree (3)
o Somewhat Agree (4)
o Agree (5)
o Strongly Agree (6)
87
Q11. Achievement is more difficult at this school because students are worried about their
safety.
o Strongly Disagree (1)
o Disagree (2)
o Somewhat Disagree (3)
o Somewhat Agree (4)
o Agree (5)
o Strongly Agree (6)
Q12. Drug and alcohol abuse in the community make achievement difficult for students
here.
o Strongly Disagree (1)
o Disagree (2)
o Somewhat Disagree (3)
o Somewhat Agree (4)
o Agree (5)
o Strongly Agree (6)
88
Q13. Teachers in this school trust their students.
o Strongly Disagree (1)
o Disagree (2)
o Somewhat Disagree (3)
o Somewhat Agree (4)
o Agree (5)
o Strongly Agree (6)
Q14. Teachers in this school trust the parents.
o Strongly Disagree (1)
o Disagree (2)
o Somewhat Disagree (3)
o Somewhat Agree (4)
o Agree (5)
o Strongly Agree (6)
89
Q15. Students in this school care about each other.
o Strongly Disagree (1)
o Disagree (2)
o Somewhat Disagree (3)
o Somewhat Agree (4)
o Agree (5)
o Strongly Agree (6)
Q16. Parents in this school are reliable in their commitments.
o Strongly Disagree (1)
o Disagree (2)
o Somewhat Disagree (3)
o Somewhat Agree (4)
o Agree (5)
o Strongly Agree (6)
90
Q17. Students in this school can be counted upon to do their work.
o Strongly Disagree (1)
o Disagree (2)
o Somewhat Disagree (3)
o Somewhat Agree (4)
o Agree (5)
o Strongly Agree (6)
Q18. Teachers can count upon parental support.
o Strongly Disagree (1)
o Disagree (2)
o Somewhat Disagree (3)
o Somewhat Agree (4)
o Agree (5)
o Strongly Agree (6)
91
Q19. Teachers here believe that students are competent learners.
o Strongly Disagree (1)
o Disagree (2)
o Somewhat Disagree (3)
o Somewhat Agree (4)
o Agree (5)
o Strongly Agree (6)
Q20. Teachers think that most of the parents do a good job.
o Strongly Disagree (1)
o Disagree (2)
o Somewhat Disagree (3)
o Somewhat Agree (4)
o Agree (5)
o Strongly Agree (6)
92
Q21. Teachers can believe what parents tell them.
o Strongly Disagree (1)
o Disagree (2)
o Somewhat Disagree (3)
o Somewhat Agree (4)
o Agree (5)
o Strongly Agree (6)
Q22. Students here are secretive.
o Strongly Disagree (1)
o Disagree (2)
o Somewhat Disagree (3)
o Somewhat Agree (4)
o Agree (5)
o Strongly Agree (6)
Q23. The school sets high standards for performance.
o Rarely (1)
o Sometimes (2)
o Often (3)
o Very Often (4)
93
Q24. Students respect others who get good grades.
o Rarely (1)
o Sometimes (2)
o Often (3)
o Very Often (4)
Q25. Students seek extra work so they can get good grades.
o Rarely (1)
o Sometimes (2)
o Often (3)
o Very Often (4)
Q26. Academic achievement is recognized and acknowledged by the school.
o Rarely (1)
o Sometimes (2)
o Often (3)
o Very Often (4)
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Q27. Students try hard to improve on previous work.
o Rarely (1)
o Sometimes (2)
o Often (3)
o Very Often (4)
Q28. The achievement environment is orderly and serious.
o Rarely (1)
o Sometimes (2)
o Often (3)
o Very Often (4)
Q29. The students in this school can achieve the goals that have been set for them.
o Rarely (1)
o Sometimes (2)
o Often (3)
o Very Often (4)
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Q30. Teachers in this school believe that their students have the ability to achieve
academically.
o Rarely (1)
o Sometimes (2)
o Often (3)
o Very Often (4)
End of Block: Default Question Block
96
Appendix B: IRB Approval
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Appendix C: Superintendent’s Recruitment Letter
March 30, 2021
To: Superintendent
From: Shayla McCray, J.D.
Re: Dissertation Survey Distribution
I am currently working on my dissertation in Educational Administration at the
University of Alabama. The title of my research is “Academic Optimism - An Approach to
Predicting the Failing Schools List, College and Career Readiness (CCR) Scores, The
Graduation Rate, and Achievement in Title I High Schools Throughout Alabama.” As part of my
research, I am conducting an online survey using the School Academic Optimism Scale (SAOS).
The SAOS measures the collective efficacy of the school, the faculty trust of parents and
teachers, and the Academic Optimism of the school. The survey is no more than 10 minutes
long.
For decades, federal accountability mandates have permeated public schools. Currently,
based on the Every Student Succeeds Act of 2015 (ESSA), Alabama’s public schools are
measured via indicators on the State Report Card provided by the Alabama State Department of
Education. In addition, schools are evaluated via Alabama Legislature’s Accountability Act
(AAA). Despite poverty/socioeconomic barriers, Title I high schools are tasked with enhancing
student achievement as well as graduating students to be College and Career Ready, prepared to
compete in a global society.
This research will examine the effects of Academic Optimism on the “Failing” Schools
List and high school’s accountability indicators: college and career readiness scores, the
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graduation rate, and achievement in Title I high schools throughout Alabama by proposing the
following research questions:
1. Is there a significant difference between the levels of academic optimism in Title I high
schools identified on the Failing Schools List and Title I high schools that are not
identified on the Failing Schools List in Alabama, despite SES?
2. To what extent is there a significant relationship between schools’ academic optimism
and college and career readiness scores, the graduation rate, and reading and math ACT
achievement scores on the ACT?
3. What is the independent contribution that academic emphasis, collective efficacy, and
faculty trust have on college and career readiness scores, the graduation rate, and reading
and math ACT achievement scores on the ACT in randomly selected Title I high schools
located in Alabama?
After obtaining the teachers’ consent and their responses in regard to academic
optimism, there will be multiple analyses conducted. The following statistical tests will be
utilized: independent samples t-test, bivariate correlation, and multiple regression via IBM
SPSS 27 in order to find the results. No specific participant’s information will be gathered or
disclosed. The participant’s individual online survey results will remain anonymous.
The research sample will include teachers’ responses from randomly selected Title I
high schools throughout Alabama. Socioeconomic status (SES) data, College and Career
(CCR) data, graduation rate, and ACT math and reading Scores will be obtained from the
State Department of Education Report Card found on the Alabama State Department of
Education website. Thank you for your consideration and your assistance. I have included
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contact information for my Dissertation Committee Chair at the University of Alabama as
well as myself. I am readily available if questions arise.
Thank you kindly in advance for your support,
Shayla McCray, J.D. Dr. Jingping Sun, Dissertation Committee Chair
Doctoral Student at the University of Alabama Associate Professor, University of Alabama
sacrenshaw@crimson.ua.edu Jsun22@ua.edu
334-301-8971 205-826-6830
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Appendix D: Principal’s Letter Seeking Support
April 30, 2021
Dear High School Principal,
I am currently working on my dissertation in Educational Administration at the University of Alabama. The
title of my research is “Academic Optimism - An Approach to Predicting Alabama’s Failing Schools List, College
and Career Readiness (CCR), The Graduation Rate, and Achievement in Title I High Schools Throughout
Alabama.” As part of my research, I am conducting an online survey using the School Academic Optimism Scale
(SAOS). The SAOS measures the academic emphasis, collective efficacy of the school, and the faculty trust of
parents and teachers, which is collectively called academic optimism. I gained consent to administer the SAOS
Survey from your superintendent before contacting you.
For decades, federal accountability mandates have permeated public schools. Currently, based on the Every
Student Succeeds Act of 2015 (ESSA), Alabama’s public schools are measured via indicators on the State Report
Card provided from the Alabama State Department of Education. In addition, schools are evaluated via Alabama
Accountability Act (AAA). Despite poverty/socioeconomic barriers, Title I high schools are tasked with enhancing
student achievement as well as graduating students to be College and Career Ready, prepared to compete in a global
society.
` The research sample will include teachers’ responses from randomly selected Title I high schools
throughout Alabama. No specific participant’s information will be gathered or disclosed. The participant’s
individual online survey results will remain anonymous. Socioeconomic status (SES) data, College and Career
Readiness (CCR) scores, Graduation Rate, and ACT math and ELA scores will be obtained from the State
Department of Education Report Card found on the Alabama State Department of Education website.
This research will examine the effects of academic optimism on the Failing Schools List and high schools’
accountability indicators: College and Career Readiness Scores, the Graduation Rate, and achievement in Title I
high schools throughout Alabama. Will you please email your teachers the procedures, protocol, and consent
document as well as the SAOS survey or provide your faculty’s e-mail addresses to me? I thank you for your
consideration. I have included the contact information for my Dissertation Committee Chair at the University of
Alabama as well as myself. I am readily available if questions arise.
If you have questions about the study or need to report a study-related issue, please contact:
Name of Principal Investigator: Shayla McCray, J.D.
Title: Doctoral Student at the University of Alabama
Department Name: Department of Educational Leadership, Policy, and Technology Studies
Telephone: (334)301-8971
Email address: sacrenshaw@crimson.ua.edu
Faculty Advisor’s Name: Dr. Jingping Sun
Department Name: Department of Educational Leadership, Policy, and Technology Studies
Telephone: (205)348-6082
Email address: jsun22@ua.edu
Thank you in advance!
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Appendix E: IRB Amended Approval