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Peer reviewedHutchinson, Susan R. – Journal of Experimental Education, 1998
The problem of chance model modifications under varying levels of sample size, model size, and severity of misspecification in confirmatory factor analysis models was examined through Monte Carlo simulations. Findings suggest that practitioners should exercise caution when interpreting modified models unless sample size is quite large. (SLD)
Descriptors: Change, Mathematical Models, Monte Carlo Methods, Sample Size
Peer reviewedWang, Wen-chung; Wilson, Mark; Adams, Raymond J. – Journal of Outcome Measurement, 1998
Another Rasch approach to the measurement of change, the multidimensional random coefficient multinomial logit model (MRCML), is proposed. The MRCML model can be applied to polytomous items and the investigation of variations in item difficulties. Some simulation studies demonstrate good parameter recovery for the MRCML model under various testing…
Descriptors: Change, Difficulty Level, Individual Differences, Item Response Theory
