The Polytomous Rasch Model III

  • Andrich D
  • Marais I
N/ACitations
Citations of this article
4Readers
Mendeley users who have this article in their library.
Get full text

Abstract

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.

Cite

CITATION STYLE

APA

Andrich, D., & Marais, I. (2019). The Polytomous Rasch Model III (pp. 261–268). https://doi.org/10.1007/978-981-13-7496-8_22

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free