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Alamer, Abdullah; Marsh, Herbert – Studies in Second Language Acquisition, 2022
This study offers methodological synergy in the examination of factorial structure in second language (L2) research. It illustrates the effectiveness and flexibility of the recently developed exploratory structural equation modeling (ESEM) method, which integrates the advantages of exploratory factor analysis (EFA) and confirmatory factor analysis…
Descriptors: Factor Structure, Factor Analysis, Structural Equation Models, Second Language Learning
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Kishabale, Bashir – International Journal of Education and Development using Information and Communication Technology, 2021
The current study, guided by the cross-sectional survey method, assessed interface design quality, and its predictive ability on E-learners' post-adoption behavior in E-learning course environments. DeLone and McLean's Information Systems Success Model, Khan's E-learning Framework, and Bhattacherjee's Information System Continuance Model formed…
Descriptors: Electronic Learning, Computer Interfaces, Design, Predictive Validity
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Tadesse, Tefera; Gillies, Robyn M. – Australian Journal of Career Development, 2017
This study examined a modified version of the Student Engagement Scale, as adopted from the Australasian Survey of Student Engagement. It did so through examining model fit, predictive validity of the engagement factor, and testing of score reliability and measurement invariance across colleges and class years. Participants were volunteer…
Descriptors: Foreign Countries, Learner Engagement, Measures (Individuals), Robustness (Statistics)
Caldarella, Paul; Larsen, Ross A. A.; Williams, Leslie; Wehby, Joseph H.; Wills, Howard; Kamps, Debra – Journal of Positive Behavior Interventions, 2017
Numerous well-validated academic progress monitoring tools are used in schools, but there are fewer behavioral progress monitoring measures available. Some brief behavior rating scales have been shown to be effective in monitoring students' progress, but most focus only on students' social skills and do not address critical academic-related…
Descriptors: Psychometrics, Interpersonal Competence, Classroom Environment, Elementary Schools
Caldarella, Paul; Larsen, Ross A. A.; Williams, Leslie; Wehby, Joseph H.; Wills, Howard P.; Kamps, Debra M. – Grantee Submission, 2017
Numerous well validated academic progress monitoring tools are used in schools, but there are fewer behavioral progress monitoring measures available. Some brief behavior rating scales have been shown to be effective in monitoring students' progress, but most focus only on students' social skills and do not address critical academic-related…
Descriptors: Psychometrics, Interpersonal Competence, Classroom Environment, Elementary Schools
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Bowman, Nicholas A.; Denson, Nida – Research in Higher Education, 2014
According to prevailing theory and anecdotal evidence, the congruence between institutional attributes and students' needs, interests, and preferences plays a key role in promoting college satisfaction and retention. However, this assertion has received little direct empirical attention, and the few available studies appear to have some key…
Descriptors: Intention, Academic Persistence, Factor Structure, Predictive Validity
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Hazel, Cynthia E.; Vazirabadi, G. Emma; Gallagher, John – Psychology in the Schools, 2013
This article proposes a model of student school engagement, comprising aspirations, belonging, and productivity. From this model, items for the Student School Engagement Measure (SSEM) were developed. The SSEM was validated with data from 396 eighth graders in an urban school district. Utilizing structural equation modeling, the second-order…
Descriptors: Learner Engagement, Models, Measures (Individuals), Grade 8
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Aypay, Ayse – Educational Sciences: Theory and Practice, 2012
The purpose of this study is to develop "Secondary School Burnout Scale." Study group included 728 students out of 14 schools in four cities in Turkey. Both Exploratory Factor Analysis and Confirmatory Factor Analysis were conducted on the data. A seven-factor solution emerged. The seven factors explained 61% of the total variance. The…
Descriptors: Factor Analysis, Measures (Individuals), Foreign Countries, Locus of Control
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Leue, Anja; Beauducel, Andre – Psychological Assessment, 2011
The Positive and Negative Affect Schedule (PANAS) is a widely used inventory for the assessment of affect in psychology and other applied sciences. Despite its popularity, the structure of the PANAS is still under debate. On the one hand, there is evidence of the traditional 2-factor model with Positive Affect (PA) and Negative Affect (NA) as…
Descriptors: Evidence, Predictive Validity, Factor Analysis, Measures (Individuals)
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Cameron, Claire E.; Chen, Wei-Bing; Blodgett, Julia; Cottone, Elizabeth A.; Mashburn, Andrew J.; Brock, Laura L.; Grissmer, David – Journal of Psychoeducational Assessment, 2012
This study examined psychometric properties of the Motor Skills Rating Scale (MSRS), a questionnaire designed for classroom teachers of children in early elementary school. Items were developed with the guidance of two occupational therapists, and factor structure was examined with an exploratory factor analysis (EFA). The resulting model showed…
Descriptors: Factor Analysis, Mathematics Achievement, Rating Scales, Teachers
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O'Hare, Thomas; Shen, Ce; Sherrer, Margaret – Research on Social Work Practice, 2007
Objective: Interview data collected from 275 clients with severe mental illnesses are used to test the construct and criterion validity of the Posttraumatic Stress Disorder Symptom Scale (PSS). Method: First, exploratory and confirmatory factor analyses are used to test whether the scale reflects the posttraumatic stress disorder (PTSD) symptom…
Descriptors: Structural Equation Models, Posttraumatic Stress Disorder, Mental Disorders, Predictive Validity
Dye, David A. – 1990
The construct validity of biographical items in the Individual Achievement Record (IAR) was assessed in an attempt to develop a confirmatory factor model. This first phase of a two-phase study focused on the IAR's use as a predictor of job performance. The IAR is an empirically keyed biodata inventory containing 112 multiple-choice items. Item…
Descriptors: Academic Achievement, Biographical Inventories, Construct Validity, Educational Background