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Williams, Thomas O., Jr.; Fall, Anna-Maria; Eaves, Ronald C.; Darch, Craig; Woods-Groves, Suzanne – Assessment for Effective Intervention, 2007
The factor structure of the "KeyMath--Revised Normative Update" (KMR-NU) "Form A" was analyzed using data from a sample of 130 students. The KMR-NU is composed of 13 subtests that are purported to measure three important aspects of math ability: Basic Concepts, Operations, and Applications. A confirmatory factor analysis…
Descriptors: Mathematical Models, Goodness of Fit, Academic Ability, Mathematics
Donders, Jacobus – Assessment, 2008
The purpose of this study is to determine the latent structure of the California Verbal Learning Test-Second Edition (CVLT-II; Delis, Kramer, Kaplan, & Ober, 2000) at three different age levels, using the standardization sample. Maximum likelihood confirmatory factor analyses are performed to test four competing hypothetical models for fit and…
Descriptors: Attention Span, Verbal Learning, Factor Structure, Factor Analysis

Mulaik, Stanley A. – Psychometrika, 1971
Descriptors: Calculus, Factor Analysis, Goodness of Fit, Mathematical Models

Bentler, P. M.; Lee, Sik-Yum – Psychometrika, 1978
A special case of Bloxom's version of Tucker's three mode factor analysis model is developed statistically. A goodness of fit test and an empirical example are presented. (Author/JKS)
Descriptors: Factor Analysis, Goodness of Fit, Hypothesis Testing, Mathematical Models

Hocevar, Dennis; And Others – Educational and Psychological Measurement, 1987
The purpose of this study was to demonstrate a potential difficulty with relying on null models in LISREL confirmatory factor analytic measurement models and to offer several suggestions for dealing with this concern. Using randomly generated factors in a matrix of 46 aptitude tests, it was shown that this approach is unlikely to reject even…
Descriptors: Aptitude Tests, Factor Analysis, Goodness of Fit, High Schools

Gebhardt, Friedrich – Psychometrika, 1971
Descriptors: Computer Programs, Factor Analysis, Goodness of Fit, Mathematical Models

Wothke, Werner; Browne, Michael W. – Psychometrika, 1990
The composite direct-product model for the multitrait-multimethod (MTMM) matrix is reparamaterized as a second-order factor analysis model. This process facilitates the use of widely available computer programs--LISREL and LISCOMP--for fitting the model. If bounds on phi and theta are not imposed to avoid inadmissible values, convergence problems…
Descriptors: Factor Analysis, Goodness of Fit, Mathematical Models, Matrices
Mare, Robert D.; Mason, William M. – 1978
An important class of applications of measurement error or constrained factor analytic models consists of comparing models for several populations. In such cases, it is appropriate to make explicit statistical tests of model similarity across groups and to constrain some parameters of the models to be equal across groups using a priori substantive…
Descriptors: Factor Analysis, Goodness of Fit, Information Sources, Mathematical Models

Schmitt, Neal – Applied Psychological Measurement, 1978
Path analyses of two multitrait-multimethod matrices are used as examples of the kind of information afforded by application of the technique. It is concluded that the technique should be of considerable aid to researchers who want to evaluate the convergent and discriminant validity of their measures. (Author/CTM)
Descriptors: Correlation, Critical Path Method, Factor Analysis, Goodness of Fit

MacCallum, Robert C. – Psychometrika, 1976
Concerned with consequences of employing the INDSCAL model when one of its assumptions are known to be violated. Under study is the notion that all individuals perceive the object space dimensions to be independent. (RC)
Descriptors: Factor Analysis, Goodness of Fit, Individual Differences, Mathematical Models

Reiser, Mark – Psychometrika, 1996
Using the item response model as developed on the multinomial distribution, asymptotic variances are obtained for residuals with response patterns and first- and second-order marginal frequencies of manifest variables. A limited-information test of fit is developed by using residuals defined for the first- and second-order marginals. (Author/SLD)
Descriptors: Error of Measurement, Factor Analysis, Goodness of Fit, Item Response Theory

Kiers, Henk A. L. – Psychometrika, 1991
Several methods for the analysis of three-way data (data classified three ways) are described and shown to be variants of principal components analysis of the two-way supermatrix in which each two-way slice is strung out into a column vector. Direct fitting and fitting derived data are considered. (SLD)
Descriptors: Equations (Mathematics), Evaluation Methods, Factor Analysis, Goodness of Fit
Marsh, Herbert W.; And Others – 1989
The purpose of the present investigation is to examine the influence of sample size (N) and model complexity on a set of 23 goodness-of-fit (GOF) indices, including those typically used in confirmatory factor analysis. The focus was on two potential problems in assessing GOF: (1) some fit indices are substantially influenced by N so that tests of…
Descriptors: Computer Simulation, Difficulty Level, Factor Analysis, Goodness of Fit

Hattie, John; Rogers, H. Jane – Journal of Educational Psychology, 1986
This article demonstrates that the usual first-order factor model is inappropriate for analyzing the factor structure of creativity and intelligence tests. An alternative model that allows for the estimation of unique covariance between the fluency and originality scores is proposed. (Author/JAZ)
Descriptors: Achievement Tests, Creativity Tests, Factor Analysis, Goodness of Fit

Joreskog, K. G. – Psychometrika, 1971
Considers the study of similarities and differences in factor structures between different groups. (AG)
Descriptors: Computer Programs, Factor Analysis, Goodness of Fit, Hypothesis Testing