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The Rasch Model as Additive Conjoint Measurement
Open accessAbstract
The object of this paper is to present Rasch's psychometric model as a special case of additive conjoint measurement. The connection between these two areas has been discussed before, but largely ignored. Because the theory of conjoint measurement has been formulated determinis tically, there have been some difficulties in its application. It is pointed out in this paper that the Rasch model, which is a stochastic model, does not suffer from this fault. The exposition centers on the analyses of two data sets, each of which was ana lyzed using Rasch scaling methods as well as some of the methods of conjoint measurement. The results, using the different procedures, are com pared.
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Cites
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Multidimensional Scaling by Optimizing Goodness of Fit to a Nonmetric Hypothesis
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Sufficient Statistics and Latent Trait Models
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A Procedure for Sample-Free Item Analysis
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Tennant, A., & Conaghan, P. G. (2007) · Arthritis Care & Research · doi:10.1002/art.23108 · Cited by 1,638
Item Response Theory and Clinical Measurement
Reise, S. P., & Waller, N. G. (2009) · Annual Review of Clinical Psychology · doi:10.1146/annurev.clinpsy.032408.153553 · Cited by 719
Internal construct validity of the Shirom-Melamed Burnout questionnaire (SMBQ)
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Metadata
- Authors
- Perline, R., Wright, B. D., & Wainer, H.
- Venue
- Applied Psychological Measurement
- Publisher
- SAGE Publications
- Published
- 1979-04
- Volume
- 3
- Issue
- 2
- Pages
- 237-255
- ISSN
- 0146-6216 (ISSN-L)
- 1552-3497
- OpenAlex
- W2048433261
- Cited by
- 261
- References
- 17
- FWCI
- 3.03
- Type
- journal article
- Language
- en
- Open access
- green
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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.
