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Peer reviewedBroodbooks, Wendy J.; Elmore, Patricia B. – Educational and Psychological Measurement, 1987
The effects of sample size, number of variables, and population value of the congruence coefficient on the sampling distribution of the congruence coefficient were examined. Sample data were generated on the basis of the common factor model, and principal axes factor analyses were performed. (Author/LMO)
Descriptors: Factor Analysis, Mathematical Models, Monte Carlo Methods, Predictor Variables
Peer reviewedMcDonald, Roderick P. – Psychometrika, 1986
There is a unity underlying the diversity of models for the analysis of multivariate data. Essentially, they constitute a family of models, most generally nonlinear, for structural/functional relations between variables drawn from a behavior domain. (Author)
Descriptors: Factor Analysis, Generalizability Theory, Latent Trait Theory, Mathematical Models
Peer reviewedTucker, Ledyard R.; Lewis, Charles – Psychometrika, 1973
Maximum likelihood factor analysis provides an effective method for estimation of factor matrices and a useful test statistic in the likelihood ratio for rejection of overly simple factor models. A reliability coefficient is proposed for analysis of factor solution. (Author/RK)
Descriptors: Analysis of Variance, Factor Analysis, Goodness of Fit, Item Sampling
Boruch, Robert F.; Wolins, Leroy – Educ Psychol Meas, 1970
If one is given three or more methods of measuring three or more traits, the procedure described allows one to assess the extent to which the observation is influenced by the method and the extent to which individual differences contribute to the observations, independent of the particular method-trait combination. The procedure is illustrated.…
Descriptors: Analysis of Variance, Correlation, Evaluation Methods, Factor Analysis
Peer reviewedRezmovic, Eva Lantos; Rezmovic, Victor – Educational and Psychological Measurement, 1981
A multitrait-multimethod matrix containing two methods of measuring 12 personality traits was analyzed and confirmatory factor analysis was applied to the data. Although unexplained variance remained, method factors and a general personality factor significantly improved the fit of a model containing only trait factors. (Author/RL)
Descriptors: Factor Analysis, Goodness of Fit, Hypothesis Testing, Mathematical Models
Peer reviewedJoreskog, Karl G. – Psychometrika, 1978
A general approach to analysis of covariance structures is considered, in which the variances and covariances or correlations of the observed variables are directly expressed in terms of the parameters of interest. The statistical problems of identification, estimation and testing of such covariance or correlation structures are discussed.…
Descriptors: Analysis of Covariance, Correlation, Critical Path Method, Factor Analysis
Peer reviewedHenly, Susan J.; And Others – Applied Psychological Measurement, 1989
A group of covariance structure models was examined to ascertain the similarity between conventionally administered and computerized adaptive versions of the Differential Aptitude Test (DAT). Results for 332 students indicate that the computerized version of the DAT is an adequate representation of the conventional test battery. (TJH)
Descriptors: Ability Identification, Adaptive Testing, Comparative Testing, Computer Assisted Testing
Peer reviewedO'Grady, Kevin E.; Medoff, Deborah R. – Multivariate Behavioral Research, 1991
A procedure for evaluating a variety of rater reliability models is presented. A multivariate linear model is used to describe and assess a set of ratings. Parameters are represented in terms of a factor analytic model, and maximum likelihood methods test the model parameters. Illustrative examples are presented. (SLD)
Descriptors: Comparative Analysis, Correlation, Equations (Mathematics), Estimation (Mathematics)
Peer reviewedMeredith, William – Psychometrika, 1993
A conceptual framework is provided for thinking about measurement invariance (or bias), and conditions are demonstrated under which invariance can occur. Tools are suggested for addressing such issues as fairness in employment testing, salary equity, and cross-sectional developmental change. Strict factorial invariance is required for…
Descriptors: Change, Equal Opportunities (Jobs), Equations (Mathematics), Factor Analysis
Davison, Mark L.; Chen, Tsuey-Hwa – 1991
This paper explores a logistic regression procedure for estimating item parameters in the Rasch model and testing the hypothesis of item parameter invariance across several groups/populations. Rather than using item responses directly, the procedure relies on "pseudo-paired comparisons" (PC) statistics defined over all possible pairs of…
Descriptors: Equations (Mathematics), Estimation (Mathematics), Factor Analysis, Item Response Theory
Mislevy, Robert J. – 1985
This paper reviews recent work in factor analysis of categorical variables. Emphasis is on the generalized least squares solution. A section on maximum likelihood solution focuses on extensions of the classical model, especially the normal case. Many of the recent developments have taken place within this context, and it provides a unified…
Descriptors: Correlation, Estimation (Mathematics), Factor Analysis, Factor Structure
McDonald, Roderick P. – 1982
This paper provides an up-to-date review of the relationship between item response theory (IRT) and (nonlinear) common factor theory and draws out of this relationship some implications for current and future research in IRT. Nonlinear common factor analysis yields a natural embodiment of the weak principle of local independence in appropriate…
Descriptors: Factor Analysis, Higher Education, Item Analysis, Latent Trait Theory
Merz, William R. – 1980
Several methods of assessing test item bias are described, and the concept of fair use of tests is examined. A test item is biased if individuals of equal ability have different probabilities of attaining the item correct. The following seven general procedures used to examine test items for bias are summarized and discussed: (1) analysis of…
Descriptors: Comparative Analysis, Evaluation Methods, Factor Analysis, Mathematical Models
Peer reviewedZwick, Rebecca – Journal of Educational Measurement, 1987
National Assessment of Educational Progress reading data were scaled using a unidimensional item response theory model. Bock's full-information factor analysis and Rosenbaum's test of unidimensionality were applied. Conclusions about unidimensionality for balanced incomplete block spiralled data were the same as for complete data. (Author/GDC)
Descriptors: Factor Analysis, Item Analysis, Latent Trait Theory, Mathematical Models
Peer reviewedWerts, C. E.; And Others – Multivariate Behavioral Research, 1979
Procedures for simultaneous confirmatory factor analysis in several populations are useful in a variety of problems. This is demonstrated with examples involving missing data, comparison of part correlations between groups, testing the equality of regression weights between groups with multiple indicators of each variable, and the formulation of…
Descriptors: Analysis of Covariance, Comparative Analysis, Computer Programs, Correlation


