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Peer reviewedFaulstich, Michael; And Others – Journal of Clinical Psychology, 1986
Investigated the factor structure of the Wechsler Adult Intelligence Scale-Revised (WAIS-R) for incarcerated individuals (N=234). Coefficients of congruence between the current factors and those of the WAIS-R standardization sample indicated a high degree of correspondence. (Author/BL)
Descriptors: Factor Structure, Intelligence Quotient, Prisoners, Test Interpretation
Peer reviewedFowler, Patrick C.; Macciocchi, Stephen N. – Journal of Clinical Psychology, 1986
Pattern and level of performance on the WAIS-R (Wechsler Adult Intelligence Scale Revised) and the Luria-Nebraska's Intelligence, Memory, and Motor Scales were examined for 93 neurologically impaired adults. Each set of procedures evidently is indexing the same theoretical constructs. (Author/ABB)
Descriptors: Adults, Correlation, Factor Structure, Neurological Impairments
Peer reviewedDonovan, John E.; Jessor, Richard – Journal of Consulting and Clinical Psychology, 1985
Analyses were performed by sex on four waves of panel data from high school and college-age cohorts, using adolescent/college-age data as well as data from young adulthood, and on multiple subsamples of adolescents who participated in the 1978 National Study of Adolescent Drinking. Results showed one common factor, unconventionality, accounts for…
Descriptors: Adolescents, Behavior Problems, Cohort Analysis, Factor Structure
Peer reviewedLorr, Maurice; DeLong, Judith A. – Journal of Clinical Psychology, 1984
Investigated higher-order factors in the Interpersonal Style Inventory in male (N=144) and female (N=173) high school students. Analysis of the 15 scale intercorrelations disclosed five dimensions in each sample. The advantage of higher level factors lies in their greater generality and generally higher predictive validities. (JAC)
Descriptors: Factor Structure, High School Students, High Schools, Predictive Validity
Kim, Se-Kang; Davison, Mark L. – 2003
A study was conducted to examine how principal components analysis (PCA) and Profile Analysis via Multidimensional Scaling (PAMS) can be used to diagnose individuals observed score profiles in terms of core profile patterns identified by each method. The standardization sample from the Wechsler Intelligence Scale for Children, Third Edition…
Descriptors: Children, Factor Analysis, Factor Structure, Intelligence Tests
Headrick, Todd C.; Sawilowsky, Shlomo S. – 2000
Real world data often fail to meet the underlying assumption of population normality. The Rank Transformation (RT) procedure has been recommended as an alternative to the parametric factorial analysis of Covariance (ANCOVA). The purpose of this study was to compare the Type I error and power properties of the RT ANCOVA to the parametric procedures…
Descriptors: Analysis of Covariance, Factor Analysis, Factor Structure, Nonparametric Statistics
Obiekwe, Jerry C. – 2000
The first purpose of this study was to analyze the results of the confirmatory factor analyses, via EQS, with regard to the latent structures of the Learning and Study Strategies Inventory (LASSI) (C. Weinstein, D. Palmer, and A. Schulte, 1987) as proposed by S. Olejnik and S. Nist (1992), A. Olivarez and M. Tallent-Runnels (1994), B. Olaussen and…
Descriptors: College Students, Comparative Analysis, Factor Structure, Higher Education
Peer reviewedLabouvie, Erich W.; Schaie, K. Warner – Child Development, 1974
The Children's Personality Questionnaire was used to classify 10-12-year-old children into high-and-low stable groups. Factor analysis for the two groups revealed separate factor structures. (ST)
Descriptors: Elementary School Students, Factor Analysis, Factor Structure, Personality Measures
Peer reviewedHalderson, Judith S.; Glasnapp, Douglas R. – American Educational Research Journal, 1972
Purpose of this paper is to advance the use of measures of association patterned after omega squared in factorial and repeated analysis of variance designs by simplifying the computational procedure through use of a set of generalized rules. (Authors)
Descriptors: Analysis of Variance, Factor Structure, Mathematical Applications, Measurement Techniques
Peer reviewedGuertin, Wilson H. – Educational and Psychological Measurement, 1971
Descriptors: Classification, Cluster Analysis, Cluster Grouping, Factor Analysis
Bailey, Stephen T. – J Counseling Psychol, 1970
Twelve of Super's 13 self concept metadimensions were examined for independence and underlying factor structure. Subjects were a group of 50 men whose ages ranged from 18 to 35. Self descriptive data were obtained from interviews and self ratings on personal constructs elicited by the Kelly Role Construct Repertory Test. The results indicate that…
Descriptors: Factor Structure, Personality, Psychological Characteristics, Self Concept
Peer reviewedBoruch, Robert F.; And Others – Educational and Psychological Measurement, 1970
Descriptors: Analysis of Variance, Factor Analysis, Factor Structure, Mathematical Models
Peer reviewedShiek, David A.; Miller, John E. – Journal of Consulting and Clinical Psychology, 1978
Investigated robustness of the Wechsler Intelligence Scale for Children-Revised (WISC-R) factor structure. Comparisons of the loadings obtained with generalization sample and 10 1/2-year-old national standardization sample suggest high degree of similarity in composition, magnitude, and pattern. Findings highly support robustness of WISC-R's…
Descriptors: Children, Factor Structure, Intelligence Tests, Test Construction
Peer reviewedMaraun, Michael D.; And Others – Multivariate Behavioral Research, 1996
The issue of indeterminacy in factor analysis and the debate between the proposed alternative solution and posterior moment position are explored in an article and 14 commentaries and rebuttals in two rounds. Implications for applied work involving factor analysis are discussed. (SLD)
Descriptors: Factor Analysis, Factor Structure, Mathematical Models, Metaphors
Peer reviewedBurton, Lorelle J.; Fogarty, Gerard J. – Intelligence, 2003
Studied whether a primary imagery (IM) factor can be identified as a separate dimension of individual differences in the spatial ability domain. Findings for 213 adults suggest the existence of three first-order IM factors, and a second-order confirmatory factor analysis suggests that the visual imagery dimensions can be located within the spatial…
Descriptors: Adults, Factor Structure, Individual Differences, Spatial Ability


