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Mokken Scale Analysis in R

Open access
Ark, L. Andries van der·2007·Journal of Statistical Software

Abstract

Mokken scale analysis (MSA) is a scaling procedure for both dichotomous and polytomous items. It consists of an item selection algorithm to partition a set of items into Mokken scales and several methods to check the assumptions of two nonparametric item response theory models: the monotone homogeneity model and the double monotonicity model. First, we present an R package mokken for MSA and explain the procedures. Second, we show how to perform MSA in R using test data obtained with the Adjective Checklist.

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Metadata

Authors
Ark, L. A. V. D.
Venue
Journal of Statistical Software
Published
2007
Volume
20
Issue
11
ISSN
1548-7660 (ISSN-L)
OpenAlex
W2147913675
Cited by
467
References
1
FWCI
9.54
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Mokken Scale Analysis in R. https://app.cochat.ai/papers/10.18637/jss.v020.i11
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Ark, L. A. V. D. (2007). Mokken Scale Analysis in R. Journal of Statistical Software. https://doi.org/10.18637/jss.v020.i11

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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.