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Tenko Raykov; Lisa Calvocoressi; Randall E. Schumacker – Measurement: Interdisciplinary Research and Perspectives, 2024
This paper is concerned with the process of selecting between the increasingly popular bi-factor model and the second-order factor model in measurement research. It is indicated that in certain settings widely used in empirical studies, the second-order model is nested in the bi-factor model and obtained from the latter after imposing appropriate…
Descriptors: Factor Analysis, Decision Making, Computer Software, Measurement Techniques
Raykov, Tenko; Anthony, James C.; Menold, Natalja – Educational and Psychological Measurement, 2023
The population relationship between coefficient alpha and scale reliability is studied in the widely used setting of unidimensional multicomponent measuring instruments. It is demonstrated that for any set of component loadings on the common factor, regardless of the extent of their inequality, the discrepancy between alpha and reliability can be…
Descriptors: Correlation, Evaluation Research, Reliability, Measurement Techniques
Green, Samuel B.; Levy, Roy; Thompson, Marilyn S.; Lu, Min; Lo, Wen-Juo – Educational and Psychological Measurement, 2012
A number of psychometricians have argued for the use of parallel analysis to determine the number of factors. However, parallel analysis must be viewed at best as a heuristic approach rather than a mathematically rigorous one. The authors suggest a revision to parallel analysis that could improve its accuracy. A Monte Carlo study is conducted to…
Descriptors: Monte Carlo Methods, Factor Structure, Data Analysis, Psychometrics
Liu, Yan; Zumbo, Bruno D. – Educational and Psychological Measurement, 2012
There is a lack of research on the effects of outliers on the decisions about the number of factors to retain in an exploratory factor analysis, especially for outliers arising from unintended and unknowingly included subpopulations. The purpose of the present research was to investigate how outliers from an unintended and unknowingly included…
Descriptors: Factor Analysis, Factor Structure, Evaluation Research, Evaluation Methods
Tran, Ulrich S.; Formann, Anton K. – Educational and Psychological Measurement, 2009
Parallel analysis has been shown to be suitable for dimensionality assessment in factor analysis of continuous variables. There have also been attempts to demonstrate that it may be used to uncover the factorial structure of binary variables conforming to the unidimensional normal ogive model. This article provides both theoretical and empirical…
Descriptors: Simulation, Factor Analysis, Correlation, Evaluation Methods
Olatunji, Bunmi O.; Adams, Thomas; Ciesielski, Bethany; David, Bieke; Sarawgi, Shivali; Broman-Fulks, Joshua – Assessment, 2012
This investigation examined the measurement properties of the Three Domains of Disgust Scale (TDDS). Principal components analysis in Study 1 (n = 206) revealed three factors of Pathogen, Sexual, and Moral Disgust that demonstrated excellent reliability, including test-retest over 12 weeks. Confirmatory factor analyses in Study 2 (n = 406)…
Descriptors: Personality Traits, Test Validity, Factor Structure, Measures (Individuals)
Cho, Sun-Joo; Li, Feiming; Bandalos, Deborah – Educational and Psychological Measurement, 2009
The purpose of this study was to investigate the application of the parallel analysis (PA) method for choosing the number of factors in component analysis for situations in which data are dichotomous or ordinal. Although polychoric correlations are sometimes used as input for component analyses, the random data matrices generated for use in PA…
Descriptors: Correlation, Evaluation Methods, Data Analysis, Matrices
Webster, Beverley J.; Chan, Wincy S. C.; Prosser, Michael T.; Watkins, David A. – Higher Education: The International Journal of Higher Education and Educational Planning, 2009
This article examines the construct validity of the Course Experience Questionnaire (CEQ) in Hong Kong and investigates the similarities and differences in the process of learning among students in different disciplinary studies. It is based on a survey of 1,563 undergraduate students in two disciplines, humanities and sciences, and of principally…
Descriptors: Undergraduate Students, Learning Strategies, Construct Validity, Learning Processes
Nering, Michael L., Ed.; Ostini, Remo, Ed. – Routledge, Taylor & Francis Group, 2010
This comprehensive "Handbook" focuses on the most used polytomous item response theory (IRT) models. These models help us understand the interaction between examinees and test questions where the questions have various response categories. The book reviews all of the major models and includes discussions about how and where the models…
Descriptors: Guides, Item Response Theory, Test Items, Correlation
Cheung, Shu Fai; Chan, Darius K.-S. – Educational and Psychological Measurement, 2008
In meta-analysis, it is common to have dependent effect sizes, such as several effect sizes from the same sample but measured at different times. Cheung and Chan proposed the adjusted-individual and adjusted-weighted procedures to estimate the degree of dependence and incorporate this estimate in the meta-analysis. The present study extends the…
Descriptors: Effect Size, Academic Achievement, Meta Analysis, Correlation
Karadeniz, Sirin; Buyukozturk, Sener; Akgun, Ozcan Erkan; Cakmak, Ebru Kilic; Demirel, Funda – Online Submission, 2008
This study gives results of the first phase of the 12-18 year old Turkish students' norm study of The Motivated Strategies for Learning Questionnaire (MSLQ), which developed by Pintrich, Smith, Garcia & McKeachie (1993). The scale was administrated to 1114 students from 3 primary schools and 3 high schools in Ankara in Turkish language,…
Descriptors: Learning Strategies, Student Motivation, Questionnaires, Factor Analysis
DeBacker, Teresa K.; Crowson, H. Michael – Contemporary Educational Psychology, 2008
Need for closure, as formulated by Kruglanski and colleagues [Kruglanski, A. W. (1990). Lay epistemic theory in social-cognitive psychology. "Psychological Inquiry," 1(3), 181-197; Kruglanski, A. W., & Webster, D. M. (1996). Motivated closing of the mind: Seizing and freezing. "Psychological Review," 103, 263-283; Webster,…
Descriptors: Construct Validity, Factor Analysis, Psychometrics, Cognitive Processes
Conrad, Agatha M.; Munro, Don – Journal of Educational Computing Research, 2008
Two studies are reported which describe the development and evaluation of a new instrument, the Computer Technology Use Scale (CTUS), comprising three domains: computer self-efficacy, attitudes to technology, and technology related anxiety. Study 1 describes the development of the instrument and explores its factor structure. Study 2 used…
Descriptors: Self Efficacy, Negative Attitudes, Factor Structure, Computers
Karadeniz, Sirin; Büyüköztürk, Sener; Akgün, Özcan Erkan; Çakmak, Ebru Kiliç; Demirel, Funda – Turkish Online Journal of Educational Technology - TOJET, 2008
This study gives results of the first phase of the 12-18 year old Turkish students' norm study of The Motivated Strategies for Learning Questionnaire (MSLQ), which developed by Pintrich, Smith, Garcia & McKeachie (1993). The scale was administrated to 1114 students from 3 primary schools and 3 high schools in Ankara in Turkish language,…
Descriptors: Learning Strategies, Student Motivation, Questionnaires, Factor Analysis
Hansen, Jo-Ida C.; Bubany, Shawn T. – Measurement and Evaluation in Counseling and Development, 2008
Vocational psychology has generated a number of concepts and assessment instruments considered to reflect ability self-concept (i.e., one's view of one's own abilities) relevant to career development. These concepts and measures often are categorized as either self efficacy beliefs or self-estimated (i.e., self-rated, self-evaluated) abilities.…
Descriptors: Self Efficacy, Factor Analysis, Gender Differences, Career Development
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