Journal article
An Extension of Four IRT Linking Methods for Mixed-Format Tests
Journal of educational measurement, Vol.43(1), pp.53-76
03/2006
DOI: 10.1111/j.1745-3984.2006.00004.x
Abstract
Under item response theory (IRT), linking proficiency scales from separate calibrations of multiple forms of a test to achieve a common scale is required in many applications. Four IRT linking methods including the mean/mean, mean/sigma, Haebara, and Stocking-Lord methods have been presented for use with single-format tests. This study extends the four linking methods to a mixture of unidimensional IRT models for mixed-format tests. Each linking method extended is intended to handle mixed-format tests using any mixture of the following five IRT models: the three-parameter logistic, graded response, generalized partial credit, nominal response (NR), and multiple-choice (MC) models. A simulation study is conducted to investigate the performance of the four linking methods extended to mixed-format tests. Overall, the Haebara and Stocking-Lord methods yield more accurate linking results than the mean/mean and mean/sigma methods. When the NR model or the MC model is used to analyze data from mixed-format tests, limitations of the mean/mean, mean/sigma, and Stocking-Lord methods are described. © Copyright 2006 by the National Council on Measurement in Education.
Details
- Title: Subtitle
- An Extension of Four IRT Linking Methods for Mixed-Format Tests
- Creators
- Seonghoon Kim - ACTWon-Chan Lee - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Journal of educational measurement, Vol.43(1), pp.53-76
- Publisher
- Blackwell Publishing
- DOI
- 10.1111/j.1745-3984.2006.00004.x
- ISSN
- 0022-0655
- eISSN
- 1745-3984
- Number of pages
- 24
- Language
- English
- Date published
- 03/2006
- Academic Unit
- Psychological and Quantitative Foundations
- Record Identifier
- 9984371080602771
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