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Klassen, Robert M.; Aldhafri, Said; Mansfield, Caroline F.; Purwanto, Edy; Siu, Angela F. Y.; Wong, Marina W.; Woods-McConney, Amanda – Journal of Experimental Education, 2012
This study explored the validity of the Utrecht Work Engagement Scale in a sample of 853 practicing teachers from Australia, Canada, China (Hong Kong), Indonesia, and Oman. The authors used multigroup confirmatory factor analysis to test the factor structure and measurement invariance across settings, after which they examined the relationships…
Descriptors: Job Satisfaction, Factor Structure, Measures (Individuals), Factor Analysis
Kayser, Brian D. – 1973
The Guttman model of scale analysis has found continued use in sociological analysis despite criticisms placed against it. An empirical example is provided of the use of factor analysis with Guttman scaling even taking into account the criticisms of both very restricted item number of dichotomous responses. Data came from a questionnaire using…
Descriptors: Attitude Measures, Comparative Analysis, Factor Analysis, Factor Structure
Stone, Clement A.; Yeh, Chien-Chi – Educational and Psychological Measurement, 2006
Examination of a test's internal structure can be used to identify what domains or dimensions are being measured, identify relationships between the dimensions, provide evidence for hypothesized multidimensionality and test score interpretations, and identify construct-irrelevant variance. The purpose of this research is to provide a…
Descriptors: Multiple Choice Tests, Factor Structure, Factor Analysis, Licensing Examinations (Professions)
Thomas, Julia Anne – 1984
Readiness skills of 1,261 kindergarten students were assessed with the use of the Kindergarten Instructional Design System (KIDS). The profile provides assessment in five areas: Motor, Visual, Auditory, Language, and Conceptual. Two statistical techniques were utilized to examine the underlying structure of the measure: factor analysis and…
Descriptors: Comparative Analysis, Correlation, Factor Analysis, Factor Structure
Cohen, Arie; Farley, Frank H. – 1974
Procedures for analyzing common item effects on interscale structure were reviewed and a study using smallest space analysis of the California Psychological Inventory (CPI) reported. Solutions of three matrices--intercorrelation matrix of the original CPI scales, of reduced scales (with common items removed), and of the number of common…
Descriptors: Comparative Analysis, Correlation, Factor Analysis, Factor Structure

De Ayala, R. J.; Hertzog, Melody A. – Multivariate Behavioral Research, 1991
Multidimensional scaling (MDS) and exploratory and confirmatory factor analyses were compared in the assessment of the dimensionality of data sets, using sets generated to be one-dimensional or two-dimensional and differing in degree of interdimensional correlation and number of items defining a dimension. (SLD)
Descriptors: Comparative Analysis, Correlation, Equations (Mathematics), Factor Structure
Davison, Mark L. – 1981
Academic psychology has long been composed of two disciplines, one experimental and one correlational. These two disciplines each developed their own method of studying structure in data: multidimensional scaling (MDS) and factor analysis. Both methods use similar kinds of input data, proximity measures on object pairs. Both represent the object…
Descriptors: Ability, Comparative Analysis, Correlation, Factor Analysis
Bart, William M.; Airasian, Peter W. – 1976
The question of whether test factor structure is indicative of the test item hierarchy was examined. Data from 1,000 subjects on two sets of five bivalued Law School Admission Test items, which were analyzed with latent trait methods of Bock and Lieberman and of Christoffersson in Psychometrika, were analyzed with an ordering-theoretic method to…
Descriptors: Comparative Analysis, Correlation, Factor Analysis, Factor Structure