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Introduction to Nonparametric Item Response Theory
Abstract
Models for Mental Measurement / Philosophy and Assumptions Underlying Nonparametric IRT Models for Dichotomous Item Scores / The Monotone Homogeneity Model Applied to Transitive Reasoning Data / The Monotone Homogeneity Model: Concepts and Procedures / Automated Item Selection Under the Monotone Homogeneity Model / The Double Monotonicity Model / Extension of Nonparametric IRT to Polytomous Item Scores / Item Analysis Using Nonparametric IRT for Polytomous Items
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Citations
Cited by
Dimensionality assessment of ordered polytomous items with parallel analysis
Timmerman, M. E., & Lorenzo-Seva, U. (2011) · Psychological Methods · doi:10.1037/a0023353 · Cited by 1,634
Methods for the detection of carelessly invalid responses in survey data
Curran, P. G. (2016) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2015.07.006 · Cited by 1,356
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
Weldon, S. A. (2006) · American Journal of Political Science · doi:10.1111/j.1540-5907.2006.00187.x · Cited by 401
Developmental Psychology: Philosophy, Concepts, Methodology
Overton, W. F. (2007) · Handbook of Child Psychology · doi:10.1002/9780470147658.chpsy0102 · Cited by 381
Metadata
- Authors
- Sijtsma, K., & Molenaar, I.
- Venue
- Sage eBooks
- Publisher
- SAGE Publications, Inc.
- Published
- 2002
- OpenAlex
- W2170081377
- Cited by
- 761
- References
- 0
- FWCI
- 13.13
- Type
- book
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Introduction to Nonparametric Item Response Theory. https://app.cochat.ai/papers/10.4135/9781412984676
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- Sijtsma, K., & Molenaar, I. (2002). Introduction to Nonparametric Item Response Theory. Sage eBooks. https://doi.org/10.4135/9781412984676
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
