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Shye, Samuel – Multivariate Behavioral Research, 1978
Facet technique is used to analyze contents of achievement motive questionnaire items proposed in recent years and to construct an explicit definition for achievement motive. (Author/JKS)
Descriptors: Academic Achievement, Achievement Need, Item Analysis, Motivation

Reynolds, Thomas J. – Multivariate Behavioral Research, 1980
Order analysis, a technique to isolate unidimensional hierarchies representing multidimensional structure of binary data, is reviewed. Several theoretical flaws inherent in the probalistic version are presented. Suggestions of possible directions for future research are offered. (Author)
Descriptors: Factor Analysis, Item Analysis, Matrices, Statistical Analysis

Cattell, Raymond B.; Burdsal, Charles A. – Multivariate Behavioral Research, 1975
Descriptors: Cluster Analysis, Factor Analysis, Factor Structure, Item Analysis

Comrey, Andrew L.; And Others – Multivariate Behavioral Research, 1988
Three methods were used to test the factor structure of the Eysenck Personality Inventory administered to 583 Australians. The preferred method was to extract factors by the minimum residual method, use the Tandem Criteria Method, and then rotate that number of factors by the Tandem Criteria I method. (SLD)
Descriptors: Adults, Factor Analysis, Factor Structure, Foreign Countries
Raykov, Tenko – Multivariate Behavioral Research, 2006
A method for examining invariance in validity of multiple-component instruments in repeated measure designs is outlined. The approach is developed within the framework of covariance structure modeling and is applicable for purposes of ascertaining temporal stability in scale validity. In addition, the procedure provides a range of plausible values…
Descriptors: Longitudinal Studies, Evaluation Methods, Test Validity, Item Analysis
Whittaker, Tiffany A.; Stapleton, Laura M. – Multivariate Behavioral Research, 2006
Cudeck and Browne (1983) proposed using cross-validation as a model selection technique in structural equation modeling. The purpose of this study is to examine the performance of eight cross-validation indices under conditions not yet examined in the relevant literature, such as nonnormality and cross-validation design. The performance of each…
Descriptors: Multivariate Analysis, Selection, Structural Equation Models, Evaluation Methods