The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Mokken Scale Analysis: Between the Guttman Scale and Parametric Item Response Theory
Open accessAbstract
This article introduces a model of ordinal unidimensional measurement known as Mokken scale analysis. Mokken scaling is based on principles of Item Response Theory (IRT) that originated in the Guttman scale. I compare the Mokken model with both Classical Test Theory (reliability or factor analysis) and parametric IRT models (especially with the one-parameter logistic model known as the Rasch model). Two nonparametric probabilistic versions of the Mokken model are described: the model of Monotone Homogeneity and the model of Double Monotonicity. I give procedures for dealing with both dichotomous and polytomous data, along with two scale analyses of data from the World Values Study that demonstrate the usefulness of the Mokken model.
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Cites
Modernization and Postmodernization: Cultural, Economic, and Political Change in 43 Societies
Inglehart, R. (1997) · doi:10.1515/9780691214429 · Cited by 5,392
Andrich, D. (1988) · doi:10.4135/9781412985598 · Cited by 1,345
A Theory and Procedure of Scale Analysis: With Applications in Political Research
Mokken, R. J. (1971) · doi:10.1515/9783110813203 · Cited by 1,120
Davenport, C. (1995) · American Journal of Political Science · doi:10.2307/2111650 · Cited by 623
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Cingranelli, D. L., & Richards, D. L. (2010) · Human Rights Quarterly · doi:10.1353/hrq.0.0141 · Cited by 622
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Evaluation of the measurement properties of the Epworth sleepiness scale: A systematic review
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Metadata
- Authors
- van Schuur, W. H.
- Venue
- Political Analysis
- Publisher
- Cambridge University Press (CUP)
- Published
- 2003
- Volume
- 11
- Issue
- 2
- Pages
- 139-163
- ISSN
- 1047-1987 (ISSN-L)
- 1476-4989
- OpenAlex
- W2168712786
- Cited by
- 400
- References
- 4
- FWCI
- 4.34
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
