A category coefficientCategory coefficient$$ \kappa_{k} $$is the sum of the exceeded thresholdsThresholdfor response category k. The PRM can be rewritten in terms of principal componentsPrincipal components(Guttman) for the thresholdsThresholdinstead of the thresholdsThresholdthemselves. The principal component $$ \lambda $$characterizes the spread of the responses, the principal component $$ \eta $$characterizes the skewness, another principal component characterizes the kurtosis, etc. ThresholdsThresholdcan be recovered from principal componentsPrincipal componentsthrough the category coefficientsCategory coefficient. Only if a threshold does not discriminate between two adjacent response categories it is justified to combine adjacent response categories through rescoring the responses.
CITATION STYLE
Andrich, D., & Marais, I. (2019). The Polytomous Rasch Model III (pp. 261–268). https://doi.org/10.1007/978-981-13-7496-8_22
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