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Gerhard Fischer - University of Vienna
LPCM-WIN is a program for applying linear partial credit models (LPCM) in item analysis and the measurement of change. LPCM-WIN allows estimation of the Rasch model (RM), the multifactorial (multifacet) RM, the linear logistic test model (LLTM), the rating scale model (RSM), the partial-credit model (PCM), and extensions of these models, applied to multidimensional items in the measurement of change and the assessment of treatment effects.
The data may be dichotomous or polytomous items, ratings, or symptoms. LPCM-WIN estimates (by conditional maximum likelihood) item, person, and treatment effect parameters and supports the formulation and testing of hierarchical hypotheses about the item and effect parameters.