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Ruscio, John; Kaczetow, Walter – Multivariate Behavioral Research, 2009
Interest in modeling the structure of latent variables is gaining momentum, and many simulation studies suggest that taxometric analysis can validly assess the relative fit of categorical and dimensional models. The generation and parallel analysis of categorical and dimensional comparison data sets reduces the subjectivity required to interpret…
Descriptors: Classification, Models, Comparative Analysis, Statistical Analysis

Payne, Frank D. – Multivariate Behavioral Research, 1974
Descriptors: Ambiguity, Personality Assessment, Personality Measures, Response Style (Tests)

Hunter, Sara; And Others – Multivariate Behavioral Research, 1974
Factor structure underlying responses to the 373-item MMPI was found to be essentially identical to the factor structure previously defined from analysis of intercorrelations among the first 168 items. (Author)
Descriptors: Adults, Clinical Diagnosis, Factor Analysis, Factor Structure

Bramble, William J.; Wiley, David E. – Multivariate Behavioral Research, 1974
Descriptors: Content Analysis, Item Analysis, Personality Assessment, Psychological Testing

Hsu, Louis M. – Multivariate Behavioral Research, 1992
D.V. Budescu and J.L. Rogers (1981) proposed a method of adjusting correlations of scales to eliminate spurious components resulting from the overlapping of scales. Three reliability correction formulas are derived in this article that are based on more tenable assumptions. (SLD)
Descriptors: Correlation, Equations (Mathematics), Mathematical Models, Personality Measures

Fisher, Dennis G.; And Others – Multivariate Behavioral Research, 1989
To clarify methodological differences, five studies with cluster analysis solutions of 183 Minnesota Multiphasic Personality Inventory (MMPI) profiles of male heroin addicts were critically reviewed. The methodologies used were replicated. A solution using complete linkage with Pearson correlation and recommendations for future cluster analysis…
Descriptors: Adults, Cluster Analysis, Drug Abuse, Males

Hsu, Louis M. – Multivariate Behavioral Research, 1994
Item overlap coefficient (IOC) formulas are discussed, providing six warnings about their calculation and interpretation and some explanations of why item overlap influences the Minnesota Multiphasic Personality Inventory and the Millon Clinical Multiaxial Inventory factor structures. (SLD)
Descriptors: Correlation, Definitions, Equations (Mathematics), Factor Structure