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Showing 1 to 15 of 16 results Save | Export
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Canivez, Gary L.; Kush, Joseph C. – Journal of Psychoeducational Assessment, 2013
Weiss, Keith, Zhu, and Chen (2013a) and Weiss, Keith, Zhu, and Chen (2013b), this issue, report examinations of the factor structure of the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) and Wechsler Intelligence Scale for Children-Fourth Edition (WISC-IV), respectively; comparing Wechsler Hierarchical Model (W-HM) and…
Descriptors: Intelligence Tests, Factor Structure, Comparative Analysis, Arithmetic
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Martin, Andrew J.; Yu, Kai; Papworth, Brad; Ginns, Paul; Collie, Rebecca J. – Journal of Psychoeducational Assessment, 2015
This study explored motivation and engagement among North American (the United States and Canada; n = 1,540), U.K. (n = 1,558), Australian (n = 2,283), and Chinese (n = 3,753) secondary school students. Motivation and engagement were assessed via students' responses to the Motivation and Engagement Scale-High School (MES-HS). Confirmatory factor…
Descriptors: Foreign Countries, Motivation, Learner Engagement, Secondary School Students
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Lee, Soon-Mook – International Journal of Testing, 2010
CEFA 3.02(Browne, Cudeck, Tateneni, & Mels, 2008) is a factor analysis computer program designed to perform exploratory factor analysis. It provides the main properties that are needed for exploratory factor analysis, namely a variety of factoring methods employing eight different discrepancy functions to be minimized to yield initial…
Descriptors: Factor Structure, Computer Software, Factor Analysis, Research Methodology
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Jones-Farmer, L. Allison – Structural Equation Modeling: A Multidisciplinary Journal, 2010
When comparing latent variables among groups, it is important to first establish the equivalence or invariance of the measurement model across groups. Confirmatory factor analysis (CFA) is a commonly used methodological approach to examine measurement equivalence/invariance (ME/I). Within the CFA framework, the chi-square goodness-of-fit test and…
Descriptors: Factor Structure, Factor Analysis, Evaluation Research, Goodness of Fit
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Shujuan, Wang; Meihua, Qian; Jianxin, Zhang – Journal of Psychoeducational Assessment, 2009
This article examines the psychometric structure of the Anxiety Control Questionnaire (ACQ) in Chinese adolescents. With the data collected from 212 senior high school students (94 females, 110 males, 8 unknown), seven models are tested using confirmatory factor analyses in the framework of the multitrait-multimethod strategy. Results indicate…
Descriptors: Multitrait Multimethod Techniques, Factor Structure, Adolescents, Measures (Individuals)
Joreskog, Karl G. – 1970
This paper is concerned with the study of similarities and differences in factor structures between different groups. A common situation is when a battery of tests has been administered to samples of examinees from several populations. A very general model is presented, in which any parameter in the factor analysis models (factor loadings, factor…
Descriptors: Factor Analysis, Factor Structure, Goodness of Fit, Hypothesis Testing
Plake, Barbara S.; And Others – 1983
A confirmatory factor analysis was used to determine the respective viability of factor structure models for the Wechsler Adult Intelligence Scale-Revised (WAIS-R) standardization data. The traditional verbal-performance split was compared to an alternative model proposed by Gutkin, Reynolds and Galvin. The confirmatory analysis indicated that the…
Descriptors: Adults, Factor Analysis, Factor Structure, Goodness of Fit
Benson, Jeri; Zarnegar, Zohreh – 1984
The purpose of the study was to use confirmatory factor analysis techniques to assess the adequacy of previous validity studies related to the structural and theoretical dimensions underlying a measure of self-concept, the Piers Harris Children's Self Concept Scale. Responses from 890 students in grades 3-6 were used as input to the LISREL program…
Descriptors: Elementary Education, Factor Analysis, Factor Structure, Goodness of Fit
Byrne, Barbara M. – 1994
Working from a common data base and hypothesized model, this paper demonstrates and compares the EQS and LISREL computer program strategies in the analysis of a second-order factor model. Program similarities and differences are noted with respect to: (1) preliminary analyses of the data; (2) treatment of data that are not multivariately normal;…
Descriptors: Adolescents, Comparative Analysis, Computer Oriented Programs, Computer Software
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Marsh, Herbert W.; Richards, Gary E. – Multivariate Behavioral Research, 1987
The factorial structure of the Rotter Internal-External (IE) scale was examined. While there was strong evidence against the unidimensionality of the Rotter scale, the findings suggested that the first-order factors do define a single higher-order construct that may represent the generalized IE construct. (Author/LMO)
Descriptors: Construct Validity, Factor Analysis, Factor Structure, Goodness of Fit
Marsh, Herbert W.; Richards, Garry E. – 1984
The purposes of the present investigation were to examine the dimensionality of the Rotter Internal-External (I-E) scale, to test the invariance of its factor structure before and after an intervention designed to alter I-E, and to demonstrate the use of confirmatory factor analysis. An a priori model based on the content of the Rotter items…
Descriptors: Factor Analysis, Factor Structure, Goodness of Fit, Locus of Control
McMurray, Mary Anne – 1987
This paper illustrates the transformation of a raw data matrix into a matrix of associations, and then into a factor matrix. Factor analysis attempts to distill the most important relationships among a set of variables, thereby permitting some theoretical simplification. In this heuristic data, a correlation matrix was derived to display…
Descriptors: Correlation, Factor Analysis, Factor Structure, Goodness of Fit
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Byrne, Barbara M. – Multivariate Behavioral Research, 1994
Findings are reported for a cross-validated study of factorial validity and invariance of the Maslach Burnout Inventory across gender for elementary school teachers (742 males and 801 females) and secondary school teachers (659 males and 721 females). The study illustrates structural modeling methodology and use of multiple model-fitting criteria.…
Descriptors: Elementary School Teachers, Elementary Secondary Education, Factor Structure, Females
Marsh, Herbert W. – 1986
The purposes of this study are to examine the factorial invariance of responses by preadolescent males and females to a multidimensional self-concept instrument, and to demonstrate the use of confirmatory factor analysis (CFA). Sets of responses by 500 males and by 500 females were each randomly divided in half to form four groups (M1, M2, F1, and…
Descriptors: Academic Achievement, Correlation, Factor Analysis, Factor Structure
Marsh, Herbert W.; And Others – 1986
The purpose of the present investigation is to study the hierarchical structure of academic self-concept. The original Shavelson model posited specific facets of academic self-concept to define a single higher-order facet, but Marsh and Shavelson (1985) found the hierarchical structure to be more complicated. In a revised model they proposed that…
Descriptors: Academic Aptitude, Affective Measures, Correlation, Factor Analysis
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