Embedding Irt in Structural Equation Models: a Comparison with Regression Based on Irt Scores
نویسندگان
چکیده
This paper reviews the problems associated with using IRT-based latent variable scores for analytical modeling, discusses the connection between IRT and SEM-based latent regression modelling for discrete data, and compares regression parameter estimates obtained using predicted IRT scores and standardized Number-Right scores in OLS regression with regression estimates obtained using the combined IRT-SEM approach. The Monte Carlo results show the EAP approach is insensitive to sample size as expected but leads to appreciable attenuation in regression parameter estimates. On the other hand, the IRTSEM method produced smaller finite sample bias, and as expected, generated ‘consistent’ regression estimates for suitably large sample sizes.
منابع مشابه
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