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Gignac, Gilles E.; Watkins, Marley W. – Multivariate Behavioral Research, 2013
Previous confirmatory factor analytic research that has examined the factor structure of the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) has endorsed either higher order models or oblique factor models that tend to amalgamate both general factor and index factor sources of systematic variance. An alternative model that has not yet…
Descriptors: Intelligence Tests, Test Reliability, Factor Structure, Models
Peer reviewedNesselroade, John R.; Cable, Dana G. – Multivariate Behavioral Research, 1974
Using the personality trait versus state distinction as a substantive context, the fit of the factor analytic model to difference score data is investigated and found to be quite good. Methodological issues related to properties of difference scores and their implications for personality research are briefly discussed. (Author)
Descriptors: Anxiety, Factor Analysis, Measurement Techniques, Personality
Peer reviewedPaunonen, Sampo V. – Multivariate Behavioral Research, 1987
Study determines that solutions derived by multiple group analysis and item-total correlation analysis were generally most interpretable from a psychological perspective. It was concluded that their application to test construction is preferred over Procrustean or confirmatory maximum likelihood approaches. (RB)
Descriptors: Correlation, Data Analysis, Factor Analysis, Psychological Testing
Peer reviewedSilverstein, A. B.; Fisher, Gary – Multivariate Behavioral Research, 1974
Descriptors: Cluster Analysis, Factor Analysis, Factor Structure, Males
Peer reviewedBernstein, Ira H.; And Others – Multivariate Behavioral Research, 1986
A three subscale inventory designed by Fenigstein, Scheier, and Buss to measure self-consciousness was administered to 297 college students. Fenigstein et al.'s representation was found to fit the data in its original form. Items on the subscales differ nearly as much statistically as they do substantively. (Author/LMO)
Descriptors: College Students, Correlation, Factor Analysis, Factor Structure
Peer reviewedWerts, C. E.; And Others – Multivariate Behavioral Research, 1980
This paper demonstrates how the problem of calibrating measures can be formulated in terms of confirmatory factor analysis. The relationships between traditional approaches and a confirmatory factor approach are specified. (Author/CTM)
Descriptors: Achievement Tests, Equated Scores, Factor Analysis, Intermediate Grades
Peer reviewedNelson, Edward A.; Uhl, Norman P. – Multivariate Behavioral Research, 1974
Descriptors: Attitude Change, Attitude Measures, Black Colleges, College Freshmen
Peer reviewedOfir, Chezy; And Others – Multivariate Behavioral Research, 1987
Three frequently used response formats are compared via analysis of covariance structures. The cumulative results based on four data sets provided evidence inconsistent with previous research suggesting that these formats are interchangeable. The semantic-differential format is most preferred while in most cases the Stapel format is least…
Descriptors: Analysis of Covariance, Factor Analysis, Hypothesis Testing, Mathematical Models
Peer reviewedStrauman, Timothy J.; Wetzler, Scott – Multivariate Behavioral Research, 1992
Scale-level factor analyses are reported for 2 self-report measures of psychopathology, the Symptom Checklist-90-R (SCL-90) and the Millon Clinical Multiaxial Inventory (MCMI), using 130 psychiatric inpatients and outpatients. Used separately, the measures offer limited interpretability of scale profiles. Their combined use permits differentiation…
Descriptors: Adults, Anxiety, Clinical Diagnosis, Comparative Testing

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