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نویسندگان
چکیده
A simulation study is designed to explore accuracy and precision of parameter estimation of cognitive attributes using the crossed random effects linear logistic test model (CRELLTM) with PROC GLIMMIX. The CRELLTM characterizes the weight of the cognitive attributes for item difficulties as random coefficients. The SAS® GLIMMIX package is applied to obtain parameter estimates. A series of simulations are conducted. Manipulated factors in this study include the sample size, the number of items, the population distribution shape, and the Q-matrix density. The number of cognitive attributes is fixed as 8 attributes. The results indicate that the CRELLTM using the SAS GLIMMIX procedure yields negligible bias and high correlations between estimated and true cognitive attributes; however, the RMSE is relatively large, especially with small sample size (i.e., 25 in this study).
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