The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Mokken Scale Analysis in R
Open accessAbstract
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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Bernaards, C. A., & Sijtsma, K. (2000) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr3503_03 · Cited by 177
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Hsieh, S., McGrory, S., Leslie, F., Dawson, K., Ahmed, S., Butler, C. R., Rowe, J. B., Mioshi, E., & Hodges, J. R. (2015) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000366040 · Cited by 277
A tutorial on how to do a Mokken scale analysis on your test and questionnaire data
Sijtsma, K., & van der Ark, L. A. (2017) · British Journal of Mathematical and Statistical Psychology · doi:10.1111/bmsp.12078 · Cited by 258
Jordan, P., Shedden-Mora, M. C., & Löwe, B. (2017) · PLOS ONE · doi:10.1371/journal.pone.0182162 · Cited by 225
Balsamo, M., Carlucci, L., Innamorati, M., Lester, D., & Pompili, M. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00727 · Cited by 65
Crins, M. H. P., Roorda, L. D., Smits, N., de Vet, H. C. W., Westhovens, R., Cella, D., Cook, K. F., Revicki, D., van Leeuwen, J., Boers, M., et al. (2015) · PLOS ONE · doi:10.1371/journal.pone.0134094 · Cited by 49
Metadata
- Authors
- Ark, L. A. V. D.
- Venue
- Journal of Statistical Software
- Publisher
- Foundation for Open Access Statistic
- 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
- diamond
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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.