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Peer reviewedGuttman, Ruth; And Others – Applied Psychological Measurement, 1990
After a brief review of the contributions of factor analysis and regional analysis to the elaboration of the structures of spatial abilities, a facet design and regional model for spatial abilities are presented. A cylindrical-wedge model is proposed to represent the correlational structure of spatial ability tests. (SLD)
Descriptors: Cognitive Structures, Epistemology, Factor Analysis, Intelligence
Hsiung, Tung-Hsing; Olejnik, Stephen – 1993
This study considers the problem of performing all pairwise comparisons of column means for a two-by-four additive nonorthogonal factorial analysis of variance (ANOVA) model where cell variances are heterogeneous. Extensions of the following procedures are considered: (1) Games-Howell (1976) procedure; (2) the C. W. Dunnett (1980) T3 and C…
Descriptors: Analysis of Variance, Comparative Analysis, Computer Simulation, Equations (Mathematics)
Samejima, Fumiko – 1981
In defense of retaining the "latent trait theory" term, instead of replacing it with "item response theory" as some recent research would have it, the following objectives are outlined: (1) investigation of theory and method for estimating the operating characteristics of discrete item responses using a minimum number of…
Descriptors: Adaptive Testing, Computer Assisted Testing, Factor Analysis, Latent Trait Theory
Fleishman, Allen I. – 1978
A Monte Carlo study was performed to test under what conditions and to what degree various alternatives would be superior to multiple linear regression (MLR). The criteria used was the mean squared error of prediction of individual scores and the mean squared error of estimation of the regression weights. Populations were simulated containing…
Descriptors: Comparative Analysis, Error of Measurement, Factor Analysis, Least Squares Statistics
Lohmoller, Jan-Bernd – 1979
A partial least squares method is described for estimating parameters of linear structural relation models. This method is an extension of Herman Wold's proposal for estimation parameters without distributional assumptions, using some algorithms worked out by Paul Horst. The method (LISPLS) determines a different number of latent variables from…
Descriptors: Correlation, Factor Analysis, Least Squares Statistics, Mathematical Models
Peer reviewedMarsh, Herbert W. – Journal of Educational Measurement, 1987
This investigation tested the ability of an a priori hierarchical structure of self-concept derived from the Shavelson model to explain responses to the Self Description Questionnaire (SDQ) III, and demonstrated the application and problems with the use of hierarchical confirmatory factor analysis (HCFA). (Author/JAZ)
Descriptors: Factor Analysis, Factor Structure, Goodness of Fit, Mathematical Models
Peer reviewedBentler, P. M.; Lee, Sik-Yum – Journal of Educational Statistics, 1983
A method for the estimation of covariance structure models under polynomial constraints (such as quadratic constraints) is presented. Estimation is on maximum likelihood principles, and the test statistics, parameter estimates, and standard errors are based on a statistical theory which takes the constraints into account. (Author/JKS)
Descriptors: Analysis of Covariance, Correlation, Estimation (Mathematics), Factor Analysis
Peer reviewedWachtel, Paul – Review of Economics and Statistics, 1976
Analyzes the impact of expenditures per year of schooling on earnings, based on data from a longitudinal study of 1,633 male American World War II veterans. (Available from North-Holland Publishing Company, P.O. Box 211, Amsterdam, the Netherlands; $13.50 annually, plus $4.00 postage and handling) (JG)
Descriptors: Educational Economics, Elementary Secondary Education, Factor Analysis, Higher Education
Peer reviewedTucker, Ledyard R. – Educational and Psychological Measurement, 1973
The inter-battery factor analysis model for predictive systems appears to offer a useful formalization of these systems and provides some guides for the development of the system. (Author)
Descriptors: Analysis of Covariance, Data Collection, Factor Analysis, Mathematical Models
Peer reviewedCadwell, Joel; Pullis, Michael – Journal of Educational Psychology, 1983
The factorial invariance of a temperament questionnaire was studied using the data provided by 24 teachers of 564 kindergarten through fourth-grade children. A LISREL analysis supported the hypothesized three-factor model and established factorial invariance of the shortened version of a behavioral rating scale constructed by Thomas and Chess.…
Descriptors: Affective Measures, Behavior Rating Scales, Elementary Education, Factor Analysis
Peer reviewedVelicer, Wayne F.; And Others – Multivariate Behavioral Research, 1982
Factor analysis, image analysis, and principal component analysis are compared with respect to the factor patterns they would produce under various conditions. The general conclusion that is reached is that the three methods produce results that are equivalent. (Author/JKS)
Descriptors: Comparative Analysis, Data Analysis, Factor Analysis, Goodness of Fit
Peer reviewedHagglund, Gosta – Psychometrika, 1982
Three alternative estimation procedures for factor analysis based on the instrumental variables method are presented. Least squares estimation procedures are compared to maximum likelihood procedures. The conclusion, based on the data used in this study, is that two of the procedures seem to work well. (Author/JKS)
Descriptors: Data Analysis, Error of Measurement, Estimation (Mathematics), Factor Analysis
Peer reviewedLee, S. Y.; Jennrich, R. I. – Psychometrika, 1979
A variety of algorithms for analyzing covariance structures are considered. Additionally, two methods of estimation, maximum likelihood, and weighted least squares are considered. Comparisons are made between these algorithms and factor analysis. (Author/JKS)
Descriptors: Analysis of Covariance, Comparative Analysis, Correlation, Factor Analysis
Peer reviewedBaker, Frank B. – Applied Psychological Measurement, 1988
The form of item log-likelihood surface was investigated under two-parameter and three-parameter logistic models. Results confirm that the LOGIST program procedures used to locate the maximum of the likelihood functions are consistent with the form of the item log-likelihood surface. (SLD)
Descriptors: Estimation (Mathematics), Factor Analysis, Graphs, Latent Trait Theory
Peer reviewedKnol, Dirk L.; Berger, Martijn P. F. – Multivariate Behavioral Research, 1991
In a simulation study, factor analysis and multidimensional item response theory (IRT) models are compared with respect to estimates of item parameters. For multidimensional data, a common factor analysis on the matrix of tetrachoric correlations performs at least as well as the multidimensional IRT model. (SLD)
Descriptors: Comparative Analysis, Computer Simulation, Equations (Mathematics), Estimation (Mathematics)


