Enhancing measurement in science education research through Rasch analysis: Rationale and properties

This article presents the basic rationale of Rasch theory and seven core properties of Rasch modeling; analyses of test targeting, person separation, person fit, item fit, differential item functioning, functioning of response categories and tests of unidimensionality. Illustrative examples are prov...

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Main Author: Jørgen Sjaastad
Format: Article
Language:Danish
Published: University of Oslo 2014-10-01
Series:Nordina: Nordic Studies in Science Education
Subjects:
Online Access:https://journals.uio.no/nordina/article/view/662
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author Jørgen Sjaastad
author_facet Jørgen Sjaastad
author_sort Jørgen Sjaastad
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description This article presents the basic rationale of Rasch theory and seven core properties of Rasch modeling; analyses of test targeting, person separation, person fit, item fit, differential item functioning, functioning of response categories and tests of unidimensionality. Illustrative examples are provided consecutively, drawing on Rasch analysis of data from a survey where students in the 9th grade responded to questions regarding their mathematics competence. The relationship between Rasch theory and classical test theory is commented on. Rasch theory provides science and mathematics education researchers with valuable tools to evaluate the psychometric quality of tests and questionnaires and support the development of these.
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spelling doaj.art-4c704556b5db46d6a7b9b50517c01a2c2022-12-21T23:52:22ZdanUniversity of OsloNordina: Nordic Studies in Science Education1504-45561894-12572014-10-0110210.5617/nordina.662Enhancing measurement in science education research through Rasch analysis: Rationale and propertiesJørgen Sjaastad0NIFU - Nordic Institute for Studies in Innovation, Research and EducationThis article presents the basic rationale of Rasch theory and seven core properties of Rasch modeling; analyses of test targeting, person separation, person fit, item fit, differential item functioning, functioning of response categories and tests of unidimensionality. Illustrative examples are provided consecutively, drawing on Rasch analysis of data from a survey where students in the 9th grade responded to questions regarding their mathematics competence. The relationship between Rasch theory and classical test theory is commented on. Rasch theory provides science and mathematics education researchers with valuable tools to evaluate the psychometric quality of tests and questionnaires and support the development of these.https://journals.uio.no/nordina/article/view/662Rasch analysisQuantitative methodsMeasurement
spellingShingle Jørgen Sjaastad
Enhancing measurement in science education research through Rasch analysis: Rationale and properties
Nordina: Nordic Studies in Science Education
Rasch analysis
Quantitative methods
Measurement
title Enhancing measurement in science education research through Rasch analysis: Rationale and properties
title_full Enhancing measurement in science education research through Rasch analysis: Rationale and properties
title_fullStr Enhancing measurement in science education research through Rasch analysis: Rationale and properties
title_full_unstemmed Enhancing measurement in science education research through Rasch analysis: Rationale and properties
title_short Enhancing measurement in science education research through Rasch analysis: Rationale and properties
title_sort enhancing measurement in science education research through rasch analysis rationale and properties
topic Rasch analysis
Quantitative methods
Measurement
url https://journals.uio.no/nordina/article/view/662
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