![]() I don't think Partial Credit or the Rating Scale model in line with Master's and Andrich can be handled in Mplus, but maybe other users would know. Differences with Rasch programs would again be due to WLS versus ML note also the custom of average difficulty = 0 in Rasch. A Rasch model can be estimated when holding loadings equal across items. Mislevy had an article in Journal of Educational Statistics in 1986 showing that WLS and ML gave close results in multi-factor situations. Differences also arise because Mplus uses weighted least squares (WLS) and not maximum likelihood (ML). This means that results are close to those of 2-parameter logistic, using the usual conversion factor to make probit results close to logit results. A transformation to IRT parameters a and b is given in Muthen, Kao, Burstein (1991) - see IRT reference list under the Mplus Discussion topic References. With a single factor, Mplus estimates a 2-parameter normal ogive to use IRT terms. Partial credit and equal dispersion model)Įxtraneous to Mplus estimation method or not?īengt O. Other words, are the several models (rating scale, I would like to understand what the difference isĬategorical items and the Rasch model for scales Gianbattista FLEBUS posted on Monday, Novem3:37 pm Mplus Discussion > IRT Models in Mplus Mplus Home ![]()
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