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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
Peer reviewedEdwards, Jeffrey R.; O'Neill, Regina M. – Educational and Psychological Measurement, 1998
Confirmatory factor analysis was used to evaluate alternative factor structures, based on previous exploratory factor analyses and coping dimensions derived from the theory of R. Lazarus, for the Ways of Coping Questionnaire (S. Folkman and R. Lazarus, 1988). Results from responses of 654 college graduates provide little support for the factor…
Descriptors: College Graduates, Construct Validity, Coping, Factor Structure
Peer reviewedLawrence, Frank R.; Hancock, Gregory R. – Educational and Psychological Measurement, 1999
Used simulated data to test the integrity of orthogonal factor solutions when varying sample size, factor pattern/structure coefficient magnitude, method of extraction, number of variables, number of factors, and degree of overextraction. Discusses implications of results with regard to overextraction. (SLD)
Descriptors: Factor Analysis, Factor Structure, Orthogonal Rotation, Sample Size
Peer reviewedMarkus, Keith A. – Structural Equation Modeling, 2000
Explores the four-step procedure for testing structural equation models and outlines some problems with the approach advocated by L. Hayduk and D. Glaser (2000) and S. Mulaik and R. Milsap (2000). Questions the idea that there is a "correct" number of constructs for a given phenomenon. (SLD)
Descriptors: Factor Analysis, Factor Structure, Research Methodology, Structural Equation Models
Peer reviewedClapham, Maria M. – Educational and Psychological Measurement, 1998
The structure of subscores obtained through streamlined scoring of 334 adults' responses to Figural Forms A and B of the Torrance Tests of Creative Thinking (P. Torrance, 1966) was analyzed. Principal components analyses indicated that one general creativity factor adequately represented subscores of both forms. However, the five subscores of each…
Descriptors: Adults, Creative Thinking, Creativity, Factor Structure


