Journal article
Bi-Factor MIRT Observed-Score Equating for Mixed-Format Tests
Applied measurement in education, Vol.29(3), pp.224-241
07/02/2016
DOI: 10.1080/08957347.2016.1171770
Abstract
The main purposes of this study were to develop bi-factor multidimensional item response theory (BF-MIRT) observed-score equating procedures for mixed-format tests and to investigate relative appropriateness of the proposed procedures. Using data from a large-scale testing program, three types of pseudo data sets were formulated: matched samples, pseudo forms, and simulated data sets. Very minor within-format residual dependence in mixed-format tests was found after controlling for the influence of the primary general factor. The unidimensional IRT and BF-MIRT equating methods produced similar equating results for the data used in this study. When a BF-MIRT model is implemented, we recommend the use of observed-score equating instead of true-score equating because the latter requires an arbitrary approximation or reduction process to relate true scores on test forms.
Details
- Title: Subtitle
- Bi-Factor MIRT Observed-Score Equating for Mixed-Format Tests
- Creators
- Guemin Lee - Yonsei UniversityWon-Chan Lee - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Applied measurement in education, Vol.29(3), pp.224-241
- Publisher
- Taylor & Francis
- DOI
- 10.1080/08957347.2016.1171770
- ISSN
- 0895-7347
- eISSN
- 1532-4818
- Number of pages
- 18
- Language
- English
- Date published
- 07/02/2016
- Academic Unit
- Psychological and Quantitative Foundations
- Record Identifier
- 9984371088602771
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