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Lee, Soon-Mook – International Journal of Testing, 2010
CEFA 3.02(Browne, Cudeck, Tateneni, & Mels, 2008) is a factor analysis computer program designed to perform exploratory factor analysis. It provides the main properties that are needed for exploratory factor analysis, namely a variety of factoring methods employing eight different discrepancy functions to be minimized to yield initial…
Descriptors: Factor Structure, Computer Software, Factor Analysis, Research Methodology
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Lomax, Richard G.; Algina, James – Journal of Educational Measurement, 1979
Results of using multimethod factor analysis and exploratory factor analysis for the analysis of three multitrait-multimethod matrices are compared. Results suggest that the two methods can give quite different impressions of discriminant validity. In the examples considered, the former procedure tends to support discrimination while the latter…
Descriptors: Comparative Analysis, Factor Analysis, Goodness of Fit, Matrices
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Shepard, Roger N. – Psychometrika, 1974
Six major problems confronting attempts to use nonmetric multidimensional scaling to represent structures underlying similarity data are identified and the author's prospects for over-coming each of these problems are presented. (RC)
Descriptors: Cluster Analysis, Comparative Analysis, Data Analysis, Goodness of Fit
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Ray, Michael L.; Heeler, Roger M. – Educational and Psychological Measurement, 1975
Methods for analyzing the multitrait-multimethod matrix are reviewed and the results of their application to a classic data set are compared. It is shown that different analysis methods can yield different validity conclusions, and that the results obtained are partly dependent on the subjective judgments of the users. (Author/RC)
Descriptors: Cluster Analysis, Comparative Analysis, Factor Analysis, Goodness of Fit
Dinero, Thomas E.; Haertel, Edward – 1976
This paper will discuss the results of a series of computer simulations comparing the Rasch logistic model to a series of models departing to various degrees from its assumption of equal discrimination power for all items. The results have implications for test construction and test scoring, indicating how closely the conventional raw score…
Descriptors: Comparative Analysis, Computer Programs, Goodness of Fit, Individual Differences
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Beller, Michael – Applied Psychological Measurement, 1990
Geometric approaches to representing interrelations among tests and items are compared with an additive tree model (ATM), using 2,644 examinees and 2 other data sets. The ATM's close fit to the data and its coherence of presentation indicate that it is the best means of representing tests and items. (TJH)
Descriptors: College Students, Comparative Analysis, Factor Analysis, Foreign Countries
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Rowe, David C.; And Others – Psychological Review, 1994
Using diverse representative sources, child developmental outcomes (e.g., delinquency and achievement) are studied in black, Hispanic, Asian, and white ethnic groups. Covariance matrices computed for these ethnic groups and compared by a LISREL goodness-of-fit test indicate the similarity of developmental processes for different ethnic and racial…
Descriptors: Academic Achievement, Analysis of Covariance, Asian Americans, Blacks
Rule, David L. – 1993
Several regression methods were examined within the framework of weighted structural regression (WSR), comparing their regression weight stability and score estimation accuracy in the presence of outlier contamination. The methods compared are: (1) ordinary least squares; (2) WSR ridge regression; (3) minimum risk regression; (4) minimum risk 2;…
Descriptors: Analysis of Covariance, Bayesian Statistics, Comparative Analysis, Computer Simulation
Edwards, Lynne K. – 1990
One of the most frequently used research methods in education and psychology involves repeated observations on the same individuals. When sample sizes are relatively small and a multivariate analysis lacks power, there are currently two analytical options in testing time effects. One is to assume a time series structure to these observations, and…
Descriptors: Analysis of Covariance, Comparative Analysis, Correlation, Educational Research