Person Parameter Estimation and Measurement in Rasch Models

S Kreiner; Karl Bang Christensen

Person Parameter Estimation and Measurement in Rasch Models

Section of Biostatistics

29 Citations (Scopus)

Abstract

During analysis by Rasch models, estimates of person parameters are regarded as measures of unobservable latent traits, and the bias and standard errors of the estimates are regarded as measurement bias and standard error of measurement (SEM). This chapter describes person parameter estimation in dichotomous and polytomous Rasch models. It illustrates the maximum likelihood estimate (MLE) and the weighted maximum likelihood estimate (WMLE) using the data set from the disinhibited eating (DE) subscale of the Diabetes Health Profile (DHP) inventory. The chapter explains how to assess the quality of measurement provided by Rasch model items from a population point of view.

Original language	Undefined/Unknown
Title of host publication	In:Rasch Models in Health
Editors	Mesbah M Christensen KB Kreiner S
Number of pages	15
Publisher	Wiley
Publication date	4 Mar 2013
Pages	63-77
Publication status	Published - 4 Mar 2013

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This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

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AB - During analysis by Rasch models, estimates of person parameters are regarded as measures of unobservable latent traits, and the bias and standard errors of the estimates are regarded as measurement bias and standard error of measurement (SEM). This chapter describes person parameter estimation in dichotomous and polytomous Rasch models. It illustrates the maximum likelihood estimate (MLE) and the weighted maximum likelihood estimate (WMLE) using the data set from the disinhibited eating (DE) subscale of the Diabetes Health Profile (DHP) inventory. The chapter explains how to assess the quality of measurement provided by Rasch model items from a population point of view.

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