Education Commons^™

Examining The Factor Structure Of A Subjective Well-Being Measure In A Medical Student Sample, Hoan Do, Mary Wurm-Schaar, Gordon Brooks

Mid-Western Educational Researcher

Accreditation standards for U.S. medical education programming require that training programs promote trainee wellness and well-being, although constructs such as psychological distress and depression commonly serve as proxies for well-being. A direct measure of subjective well-being would be invaluable to inform programming efforts to promote medical trainees’ well-being and advance the study of the well-being construct itself. This study investigated the structural validity of subjective well-being as measured by the Well-Being Scale in a sample of 548 osteopathic medical students. Results of the confirmatory factor analysis indicated that subjective well-being is best represented by a bifactor model with a general …

Developing A Religiosity Scale For Indonesian Muslim Youth, Shodiq Abdullah, Warsiyah Warsiyah, Ju'subaidi Ju'subaidi

REID (Research and Evaluation in Education)

This study aims to construct and test the validity of the Islamic youth religiosity scale. The population in this study is Muslim students of senior high schools in Surakarta, Central Java, with a sample of 258 established using the random sampling technique. The data analysis used the Linear Structural Model. The result shows that the RMSEA (‰¤ 0.08) and GFI (‰¥ 0.09) values from the four dimensions (belief, ritual, social, commitment meet the standard values of compatibility with the respective values for RMSEA beliefs = 0.055 GFI = 0.94, RMSEA rituals = 0.026 GFI = 0.99, social RMSEA = 0.059 …

Rural Teachers’ And Non-Rural Teachers’ Motivations To Teach: Differences And Similarities, David J. Leech, Nancy L. Leech, Evan Mcclintock, Carolyn A. Haug

The Rural Educator

The purpose of this study was to explore the motivations of teachers in a Midwestern state that has a mix of rural and non-rural geographic regions. Namely, this study set out to identify differences between educators working in rural areas and those working in non-rural (urban or suburban) regions by examining their motivations, perceptions, and reasons for teaching through administration of the Factors Influencing Teaching Choice (FIT-Choice) survey to a group of 616 Midwestern educators. Multiple group confirmatory factor analysis confirms that the collected data do fit the model as outlined by Watt and Richardson, and significant differences were found …

How To Use Structural Equation Modeling In Psychological Research, Saeed A. Al-Dossary Phd

International Journal for Research in Education

Structural equation modeling (SEM) is a collection of advanced statistical methods that has recently and limitedly become used in Arabic research. The purpose of this research is to illustrate how to use SEM in a study to explain the phenomenon of cyberbullying using the theory of planned behavior on a sample of 307 students at Hail university. The five steps in SEM are outlined: model specification, identification, estimation, testing, and modification. In addition, the recommended best practices, which are rarely found in studies, are explained: two-stage estimation, and alternative models.

Keywords: structural equation modeling, path analysis, confirmatory factor analysis, …

Assessing Teacher Data Use: A Validation Study Of The Teacher Data Use Survey (Tdus), Alice Renee Foran

USF Tampa Graduate Theses and Dissertations

Student achievement data have been the cornerstone of state and national accountability efforts for decades, and the focus on data-based decision making and evidence-based practices in education from policymakers, the public, and researchers continues to increase. Underlying the various pressures and incentives on educators to use data is a basic logic model: if teachers use data, their practice will change, and those changes will lead to improved student outcomes. The simplicity of the model belies the complexity of the practice of data use. Many individual- and organizational-level factors, such as attitudes and beliefs, competence, supports, and context play a role. …

Testing Measurement Invariance In Multilevel Data With Unequal Cross-Level Factor Structures, Lihua Yang

Graduate Theses and Dissertations

The test of measurement invariance (MI) investigates whether observed items measure a construct in the same way across different groups or over times. Examining MI is a prerequisite for multiple group comparisons in psychological tests (Schmitt & Kuljanin, 2008). With the prevalence of multilevel data in educational research (e.g., students nested within schools), establishing MI across multiple groups or waves of nested data has brought increasing attention. Two popular techniques for the test of multilevel MI include the multiple-group multilevel confirmatory factor analysis (MMCFA) and the design-based approaches. The MMCFA approach estimates sample covariance matrices at different levels separately. The …

Posterior Predictive Model Checking Of Local Misfit For Bayesian Confirmatory Factor Analysis, Chi Hang Au

Masters Theses, 2010-2019

Posterior predictive model checks (PPMC) are one Bayesian model-data fit approach. Thus far, PPMC for Confirmatory Factor Analytic applications focused primarily on global fit evaluation, ignoring the nuanced information in local misfit diagnostics. This study developed a PPMC approach for local misfit and applied it to a test-taking motivation scale. If the PPMC approach is effective, fit conclusions derived from the PPMC approach should be congruent with the fit conclusions derived from the Frequentist approach. Number of item-pairs flagged as misfitting and number of disagreements were computed to evaluate congruence. Congruence is achieved if the number of item-pairs flagged as …

An Evaluation Of The Relationships Between Collegiate Aviation Safety Management System Initiative, Self-Efficacy, Transformational Safety Leadership And Safety Behavior Mediated By Safety Motivation, Daniel Kwasi Adjekum

International Journal of Aviation, Aeronautics, and Aerospace

The study conceptualized Safety Management System (SMS) initiative, self-efficacy, and transformational safety leadership as constructs that relates to safety behavior (measured by safety compliance and safety participation) when mediated by safety motivation using a quantitative approach. Structural equation modeling techniques was used to derive a final measurement model that fit the empirical data and was used to test the study hypotheses. Utilizing a sample of 282 collegiate flight students and instructors from a large public university in the US, a 46-item survey was used to measure respondent’s perceptions on the study variables. The results indicate that perceptions of SMS policy …

Teacher Affective Attitudes Inventory: Development And Validation Of A Teacher Self-Assessment Instrument, Holly M. King

Antioch University Full-Text Dissertations & Theses

This study developed a teacher self-assessment instrument in the form of six factors across two overarching constructs, resulting in one Positive Relationships scale with three factors; and three related, but separate, scales measuring elements of the Classroom Environment. Many teacher skills and qualities are known to contribute to effectiveness in the classroom, such as teacher self-efficacy, content knowledge, pedagogical knowledge, and instructional knowledge. The inclusion of affective dimensions of teacher effectiveness can complement the prevailing focus on other measures of teacher effectiveness, through the consideration of critically important, but relatively ignored, aspects of effective teaching. This study examined teacher attitudes …

Effect Of Gender, Guilt, And Shame On Byu Business School Students' Innovation: Structural Equation Modeling Approach, Rasha Mohsen Qudisat

Theses and Dissertations

Innovative people seize the opportunity to make lives better and more comfortable, which contribute to economy growth and financial gain. Stakeholders study innovativeness of business students, in depth, to understand gender differences, and the factors affecting students' innovativeness. Literature explains how males and females differ in their proneness to guilt and shame. However, a model that explains the dynamic of guilt, shame, and gender on innovativeness will help make policies to improve students' innovativeness. This study describes factor analysis approach to examine the TOSCA-3 subscales guilt, shame, and the DNA instrument of innovativeness. It also describes the measurement invariance across …

The Short Grit Scale: A Dimensionality Analysis, Caihong Li

Theses and Dissertations--Educational, School, and Counseling Psychology

This study aimed to examine the internal structure, score reliability, scoring, and interpretation of the Short Grit Scale (Grit-S; Duckworth & Quinn, 2009) using a sample of engineering students (N = 610) from one large southeastern university located in the United States. Confirmatory factor analysis was used to compare four competing theoretical models: (a) a unidimensional model, (b) a two-factor model, (c) a second-order model, and (d) a bi-factor model. Given that researchers have used Grit-S as a single factor, a unidimensional model was examined. Two-factor and second-order models were considered based upon the work done by Duckworth, Peterson, …

An Assessment Of Character And Leadership Development Latent Factor Structures Through Confirmatory Factor, Item Response Theory, And Latent Class Analyses, David L. Higginbotham

Electronic Theses and Dissertations

This study leveraged the complementary nature of confirmatory factor (CFA), item response theory (IRT), and latent class (LCA) analyses to strengthen the rigor and sophistication of evaluation of two new measures of the Air Force Academy’s “leader of character” definition—the Character Mosaic Virtues (CMV) and the Leadership Mosaic Inventory (LMI). Special CFA methods involving robust weighted least squares estimation were implemented to analyze the rated responses through linear structural equation modeling. Most informative at the subscale level, the CFA techniques provided evidence of factorial validity and other desirable psychometric properties in support of previous exploratory results for a nine-factor CMV …

Factorial Invariance Of The Statistical Anxiety Rating Scale Across Sex And Students’ Classification, Eric D. Teman Ph.D.

Eric D Teman, J.D., Ph.D.

A Model Of Digital Textbook Quality From The Perspective Of College Students, Tj Bliss

Theses and Dissertations

The cost of textbooks is a financial burden on many college students. Fortunately the advent of open educational resources (OER) has allowed for the development of textbooks and other materials at significantly reduced costs to students. Many faculty are using OER to develop customized textbooks for their students, usually published digitally online. These faculty desire high fidelity feedback from their students to help them improve their texts. However, there is no general model of what digital textbook quality means to college students. Such a model would allow for the development of a measure of digital textbook quality that could provide …

Perceptions Of Workplace Mentoring Behaviors For Lifelong Career Development, Lynne A. Key

USF Tampa Graduate Theses and Dissertations

This study's purpose was to investigate the importance of mentoring functions and behaviors for lifelong career development as perceived by protégés. The population included individuals in middle to late adulthood (age 40 years and older) who reported they had been a protégé in at least one mentoring association perceived as beneficial to their lifelong career development; and were either employed or had been employed as a middle manager, senior manager, C-level executive, business owner, or member of a profession. The sample was obtained using a chain-sample method; 67 Ambassadors completed an online survey and each invited 10 contacts to complete …

A Confirmatory Factor Analytic Study Examining The Dimensionality Of Educational Achievement Tests, Nina Deng, Craig Wells, Ronald Hambleton

NERA Conference Proceedings 2008

It is important to check the fundamental assumption of most popular Item Response Theory models, unidimensionality. However, it is hard for educational and psychological tests to be strictly unidimensional. The tests studied in this paper are from a standardized high-stake testing program. They feature potential multidimensionality by presenting various item types and item sets. Confirmatory factor analyses with one-factor and bifactor models, and based on both linear structural equation modeling approach and nonlinear IRT approach were conducted. The competing models were compared and the implications of the bifactor model for checking essential unidimensionality were discussed.