A General form of rasch’s Extended logistic Model for Partial credit Scoring

Research output: Contribution to journalArticle

98 Citations (Scopus)

Abstract

The purpose of this article is to recast the Rasch model in a generalizable form allowing for broader insights into the model’s applicability beyond partial credit scoring. Applications of an extended logistic model to the study of dependencies within subtests of dichotomously scored items and the study of questionnaires in the Likert tradition are identified. One possible outcome of research using the extended logistic model is a better understanding of the cognitive processes in problem solving and other learning tasks.

Original languageEnglish
Pages (from-to)363-378
Number of pages16
JournalApplied Measurement in Education
Volume1
Issue number4
DOIs
Publication statusPublished - 1 Jan 1988

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credit
Logistic Models
logistics
Outcome Assessment (Health Care)
Learning
questionnaire
learning
Dependency (Psychology)
Surveys and Questionnaires

Cite this

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abstract = "The purpose of this article is to recast the Rasch model in a generalizable form allowing for broader insights into the model’s applicability beyond partial credit scoring. Applications of an extended logistic model to the study of dependencies within subtests of dichotomously scored items and the study of questionnaires in the Likert tradition are identified. One possible outcome of research using the extended logistic model is a better understanding of the cognitive processes in problem solving and other learning tasks.",
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A General form of rasch’s Extended logistic Model for Partial credit Scoring. / Andrich, David.

In: Applied Measurement in Education, Vol. 1, No. 4, 01.01.1988, p. 363-378.

Research output: Contribution to journalArticle

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