Book chapter
Applications of the Multifaceted Rasch Model
Best Practices in Quantitative Methods, pp.71-85
Sage Publications
2008
DOI: 10.4135/9781412995627.d7
Abstract
This chapter describes the multifaceted extension to the family of Rasch models, identifies the advantages of using these models for scaling data in the behavioral sciences, identifies software that implements multifaceted Rasch models (MFRMs), and presents three examples that apply the MFRM. The MFRM extends the family of Rasch models to include multiple facets of the measurement context. We use the term facets to refer to any component of the measurement context that is assumed to contribute systematic measurement error or create a main effect that is of substantive interest. In this sense, the family of models that has been traditionally called Rasch models contains single–faceted models that include items as the only facet of measurement. In many contexts, however, multiple facets are of interest. For example, items may represent different domains of performance, raters may rate responses to multiple items, or groups may respond to a variety of items. In each case, the MFRM allows one to estimate person measures while correcting for variation across subsets of these measurement facets.
Details
- Title: Subtitle
- Applications of the Multifaceted Rasch Model
- Creators
- Edward W. WolfeLidia Dobria
- Contributors
- Jason Osborne (Editor)
- Resource Type
- Book chapter
- Publication Details
- Best Practices in Quantitative Methods, pp.71-85
- DOI
- 10.4135/9781412995627.d7
- Publisher
- Sage Publications; Thousand Oaks, California
- Language
- English
- Date published
- 2008
- Academic Unit
- Psychological and Quantitative Foundations
- Record Identifier
- 9985134746102771
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