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Marsh, Herbert W.; Balla, John – 1992
The influence of sample size (N) and model parsimony on a set of 22 goodness of fit indices was investigated, including those typically used in confirmatory factor analysis and some recently developed indices. For sample data simulated from 2 known population data structures, values for 6 of 22 fit indices were reasonably independent of N and were…
Descriptors: Comparative Analysis, Computer Simulation, Estimation (Mathematics), Foreign Countries
Peer reviewed Peer reviewed
Collins, Linda M.; And Others – Multivariate Behavioral Research, 1993
To assess problems in hypothesis testing and model comparisons based on normed indices caused by latent class models with sparse contingency tables, a simulation was carried out investigating the distributions of the likelihood ratio statistic, the Pearson statistic chi-square, and a new goodness of fit statistic. (SLD)
Descriptors: Chi Square, Comparative Analysis, Computer Simulation, Equations (Mathematics)
Peer reviewed Peer reviewed
Liou, Michelle – Applied Psychological Measurement, 1993
Accuracy of three exact person tests for assessing model-data fit in the Rasch model was investigated in a simulation study. Empirical Type I error rates and statistical power of the person tests were computed. The exact person test conditioned on total score is a promising tool for assessing consistency of response patterns with the Rasch model.…
Descriptors: Comparative Analysis, Computer Simulation, Equations (Mathematics), Goodness of Fit
Liu, Xiufeng – 1992
The difference between compensatory and non-compensatory item response theory (IRT) models in terms of the dimensionality of test data generated by them, and its effect on the model-data-fit were examined. The STRESS (proportion of variance not accounted for by the multidimensional scaling model) and RSQ (proportion of variance accounted for by…
Descriptors: Chi Square, Comparative Analysis, Computer Simulation, Foreign Countries
Peer reviewed Peer reviewed
Bajgier, Steve M.; Aggarwal, Lalit K. – Educational and Psychological Measurement, 1991
Ignorance of the characteristics of a mixed population may lead to bias in a summary measure of a phenomenon. A test based on sample kurtosis is demonstrated by a simulation study to be more powerful than six other known tests in detecting a class of mixed normal distributions. (SLD)
Descriptors: Comparative Analysis, Computer Simulation, Equations (Mathematics), Goodness of Fit
Peer reviewed Peer reviewed
De Ayala, R. J.; And Others – Applied Measurement in Education, 1992
A study involving 1,000 simulated examinees compared the partial credit and graded response models in computerized adaptive testing (CAT). The graded response model fit the data well and provided slightly more accurate ability estimates than those of the partial credit model. Benefits of polytomous model-based CATs are discussed. (SLD)
Descriptors: Adaptive Testing, Comparative Analysis, Computer Assisted Testing, Computer Simulation
Peer reviewed Peer reviewed
Smith, Richard M. – Educational and Psychological Measurement, 1985
Standard maximum likeliheed estimation was compared using two forms of robust estimation, BIWEIGHT (based on Tukey's Biweight) and AMTJACK (AMT-Robustified Jackknife), and Rasch model person analysis. The two procedures recovered the generating parameters, but Rasch person analysis also helped to identify the nature of a response disturbance. (GDC)
Descriptors: Ability, Comparative Analysis, Computer Simulation, Estimation (Mathematics)
Peer reviewed Peer reviewed
Lohse, Gerald Lee – Human-Computer Interaction, 1993
Discussion of how we perceive meaning from graphics highlights a computer simulation model, UCIE (Understanding Cognitive Information Engineering), that simulates graphical perception. An empirical study is described that compared actual performance to UCIE predictions related to the amount of time required to answer a question in various…
Descriptors: Comparative Analysis, Computer Graphics, Computer Simulation, Goodness of Fit
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