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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
Peer reviewedLubke, Gitta H.; Dolan, Connor V. – Structural Equation Modeling, 2003
Simulation results show that the power to detect small mean differences when fitting a model with free residual variances across groups decreases as the difference in R squared increases. This decrease is more pronounced in the presence of correlated errors and if group sample sizes differ. (SLD)
Descriptors: Correlation, Factor Structure, Sample Size, Simulation
Peer reviewedHayashi, Kentaro; Sen, Pranab K. – Educational and Psychological Measurement, 2002
Implemented a Bayesian factor analysis model to formulate estimators of the hyper-parameters. Simulation results lead to the proposal of new bias-corrected estimates of factor loadings. (SLD)
Descriptors: Bayesian Statistics, Estimation (Mathematics), Factor Structure, Simulation
Peer reviewedHenderson, Jessica W.; Donatelle, Rebecca J.; Acock, Alan C. – Educational and Psychological Measurement, 2002
Conducted a confirmatory factor analysis of the Cancer Locus of Control scale (M. Watson and others, 1990), administered to 543 women with a history of breast cancer. Results support a three-factor model of the scale and support use of the scale to assess control dimensions. (SLD)
Descriptors: Cancer, Factor Structure, Females, Locus of Control
Peer reviewedSchonfeld, Irvin Sam – Developmental Psychology, 1990
Eight quantitative comparison tasks were administered to four- to seven-year-olds. Findings indicated that performance on comparison tasks was related to performance on a number conservation test and to age. Factor analysis yielded a unitary factor. (RH)
Descriptors: Cognitive Ability, Comprehension, Conservation (Concept), Factor Structure
Peer reviewedMiller, M. David; Krieshok, Thomas S. – Measurement and Evaluation in Counseling and Development, 1989
Examined equivalence of second-order factor structure of Sixteen Personality Factor Questionnaire (16PF) across sex using confirmatory factor analysis with data from an earlier analysis of second-order factor structure of the Clinical Analysis Questionnaire with adults. Found factor structure and residual variances equivalent across sex, while…
Descriptors: Adults, Factor Structure, Personality Measures, Sex Differences
Peer reviewedClarkson, Douglas B.; Jennrich, Robert I. – Psychometrika, 1988
Most of the current analytic rotation criteria for simple structure in factor analysis are summarized and identified as members of a general symmetric family of quartic criteria. A unified development of algorithms for orthogonal and direct oblique rotation using arbitrary criteria from this family is presented. (Author/TJH)
Descriptors: Algorithms, Equations (Mathematics), Evaluation Criteria, Factor Structure
Peer reviewedTrendafilov, Nickolay T. – Multivariate Behavioral Research, 1994
An alternative to the PROMAX exploratory method is presented for constructing a target matrix in Procrustean rotation in factor analysis. A technique is proposed based on vector majorization. The approach is illustrated with several standard numerical examples. (SLD)
Descriptors: Equations (Mathematics), Factor Analysis, Factor Structure, Matrices
Peer reviewedRozeboom, William W. – Multivariate Behavioral Research, 1992
Enriching factor rotation algorithms with the capacity to conduct repeated searches from random starting points can make the tendency to converge to optima that are merely local a way to catch rotations of the input factors that might otherwise elude discovery. Use of the HYBALL computer program is discussed. (SLD)
Descriptors: Algorithms, Comparative Analysis, Factor Analysis, Factor Structure
Peer reviewedRogers, James R.; DeShon, Richard P. – Suicide and Life-Threatening Behavior, 1992
Presents psychometric investigation of the eight-factor clinical model of the Suicide Opinion Questionnaire (SOQ) as representing the most appropriate interpretive model for the SOQ. Notes that factor-analytic and internal consistency reliability results failed to support hypothesized eight-factor model. Discusses alternative factor scheme and…
Descriptors: Factor Structure, Models, Opinions, Suicide
Peer reviewedVakil, Eli; Blachstein, Haya – Journal of Clinical Psychology, 1993
Evaluated whether different scores on Rey Auditory-Verbal Learning Test are measures of different memory domains. Factor analyses on data from 146 subjects produced 1, 2, or 3 factors depending on combination of scores in analysis and criteria used to determine number of factors. Basic factors were acquisition and retention. Subdividing retention…
Descriptors: Factor Structure, Foreign Countries, Learning, Memory
Peer reviewedRoesch, Scott C. – Educational and Psychological Measurement, 1998
First- and second-order confirmatory factor analyses were conducted to evaluate the factorial validity of scores on two positive affect (PA) measurement instruments and a multidimensional representation of PA using a sample of 232 undergraduates. Both measures were well represented by multifactorial models, and each was represented well by a…
Descriptors: Affective Behavior, Factor Structure, Higher Education, Undergraduate Students


