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Zhang, Xijuan; Zhou, Linnan; Savalei, Victoria – Educational and Psychological Measurement, 2023
Zhang and Savalei proposed an alternative scale format to the Likert format, called the Expanded format. In this format, response options are presented in complete sentences, which can reduce acquiescence bias and method effects. The goal of the current study was to compare the psychometric properties of the Rosenberg Self-Esteem Scale (RSES) in…
Descriptors: Psychometrics, Self Concept Measures, Self Esteem, Comparative Analysis
Lee, Bitna; Sohn, Wonsook – Educational and Psychological Measurement, 2022
A Monte Carlo study was conducted to compare the performance of a level-specific (LS) fit evaluation with that of a simultaneous (SI) fit evaluation in multilevel confirmatory factor analysis (MCFA) models. We extended previous studies by examining their performance under MCFA models with different factor structures across levels. In addition,…
Descriptors: Goodness of Fit, Factor Structure, Monte Carlo Methods, Factor Analysis
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
Han, Kyunghee; Burns, Gary N.; Weed, Nathan C.; Hatchett, Gregory T.; Kurokawa, Nancy K. S. – Educational and Psychological Measurement, 2009
The present study evaluates a prospective observer form of the Coping Inventory for Stressful Situations (CISS) by comparing the two forms in terms of factor structure, mean differences, reliability, and examining correlations between self-report and peer ratings. A total of 163 pairs of friends complete the CISS and an observer form of the CISS.…
Descriptors: Coping, Measures (Individuals), Factor Structure, Reliability
Peer reviewedNesselroade, John R.; Baltes, Paul B. – Educational and Psychological Measurement, 1970
Descriptors: Comparative Analysis, Factor Analysis, Factor Structure, Hypothesis Testing
Peer reviewedTurner, Nigel E. – Educational and Psychological Measurement, 1998
This study assessed the accuracy of parallel analysis, a technique in which observed eigenvalues are compared to eigenvalues from simulated data when no real factors are present. Three studies with manipulated sizes of real factors and sample sizes illustrate the importance of modeling the data more closely when parallel analysis is used. (SLD)
Descriptors: Comparative Analysis, Factor Analysis, Factor Structure, Sample Size
Peer reviewedEdwards, Allen L.; Abbott, Robert D. – Educational and Psychological Measurement, 1973
Study was undertaken to determine the degree to which the EPPS, CPI, and 16 PF scales are correlated with the EPI scales and to determine the degree to which the scales in all four inventories are measuring the same common traits. (Authors)
Descriptors: Comparative Analysis, Factor Structure, Measurement Instruments, Personality Assessment
Peer reviewedHarris, Margaret L.; Harris, Chester W. – Educational and Psychological Measurement, 1971
Descriptors: Algorithms, Comparative Analysis, Factor Analysis, Factor Structure
Peer reviewedLessing, Elsie E.; Zagorin, Susan W. – Educational and Psychological Measurement, 1971
Descriptors: Behavior Problems, Clinical Diagnosis, Comparative Analysis, Diagnostic Tests
Peer reviewedCramer, Kenneth M. – Educational and Psychological Measurement, 1998
Whether the one- or two-factor Wechsler or weighted sum scores (WSS) structural models adequately fit the Wechsler Intelligence Scale for Children III (WISC-III) covariance matrices was studied with samples of 2200 and 1118 children from previous studies. Both the WSS and supplemented models provided better fit than Wechsler's model but still…
Descriptors: Comparative Analysis, Factor Structure, Goodness of Fit, Intelligence
Peer reviewedHollenbeck, George P. – Educational and Psychological Measurement, 1972
The Little Jiffy" consists of principal components analysis and varimax rotation of all components with eigenvalues greater than one. (DG)
Descriptors: Cognitive Development, Comparative Analysis, Factor Analysis, Factor Structure
Peer reviewedTerranova, Carmelo – Educational and Psychological Measurement, 1971
A computer program designed to compare factors from similar concept matrices (person by scale) obtained at different times is presented. (PR)
Descriptors: Attitude Change, Comparative Analysis, Computer Programs, Factor Structure
Peer reviewedCorman, Louise; Budoff, Milton – Educational and Psychological Measurement, 1974
Descriptors: Cognitive Tests, Comparative Analysis, Elementary School Students, Factor Analysis
Peer reviewedHaynes, Jack R. – Educational and Psychological Measurement, 1975
Descriptors: Classification, Comparative Analysis, Factor Analysis, Factor Structure
Peer reviewedWherry Waters, Carrie; And Others – Educational and Psychological Measurement, 1976
Results indicate that pre-flight students and college males of the same age range differ on several aspects of novelty and sensation seeking and that in both samples studied, the variables are relatively independent of measured ability and academic course performance. (Author/DEP)
Descriptors: Ability, College Students, Comparative Analysis, Factor Analysis
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