Item Response Theory
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IRT models the probability of a correct response as a function of an examinee's latent proficiency and item characteristics, independent of the specific test-taker sample, unlike Classical Test Theory, which yields sample-dependent scores.
“Item Response Theory (IRT), regarded as a modern test theory, models the probability of a correct response as a function of an examinee’s latent proficiency (θ) and item characteristics, independent of the specific test-taker sample—unlike Classical Test Theory, which yields sample-dependent scores24,25.”
From Leveraging computerized adaptive testing for cost-effective evaluation of large language models in medical benchmarking (2026) · cites this paper as [25]
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- Authors
- Hambleton, R. K., & Swaminathan, H.
- Venue
- Springer eBooks
- Publisher
- Springer Netherlands
- Published
- 1985
- OpenAlex
- W2505213109
- Cited by
- 1,777
- References
- 0
- Citations by year
- 2026: 30 · 2025: 38 · 2024: 29 · 2023: 46 · 2022: 50 · 2021: 80 · 2020: 66 · 2019: 87 · 2018: 69 · 2017: 85 · 2016: 65 · 2015: 70 · 2014: 79 · 2013: 64 · 2012: 66
- FWCI
- 20.09
- Type
- book
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Education › Educational Assessment and Pedagogy
- Social Sciences › Psychology › Applied Psychology › Psychological Testing and Assessment
- Keywords
- item response theory, psychometrics, measurement theory, test theory
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