The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.
The Attribute Hierarchy Method for Cognitive Assessment: A Variation on Tatsuoka's Rule‐Space Approach
Abstract
A cognitive item response theory model called the attribute hierarchy method (AHM) is introduced and illustrated. This method represents a variation of Tatsuoka's rule‐space approach. The AHM is designed explicitly to link cognitive theory and psychometric practice to facilitate the development and analyses of educational and psychological tests. The following are described: cognitive properties of the AHM; psychometric properties of the AHM, as well as a demonstration of how the AHM differs from Tatsuoka's rule‐space approach; and application of the AHM to the domain of syllogistic reasoning to illustrate how this approach can be used to evaluate the cognitive competencies required in a higher‐level thinking task. Future directions for research are also outlined.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Grice, H. P. (1975) · Speech Acts · doi:10.1163/9789004368811_003 · Cited by 23,221
Review of research in education
Shulman, L. S., Mowry, S., & Berliner, D. C. (1973) · F.E. Peacock eBooks · Cited by 7,754
Johnson-Laird, P. N. (1983) · Cited by 5,190
Mental Models: Towards a Cognitive Science of Language, Inference, and Consciousness
Ford, M., & Johnson-Laird, P. N. (1985) · Language · doi:10.2307/414498 · Cited by 4,419
Protocol Analysis: Verbal Reports as Data
Ericsson, K. A., & Simon, H. A. (1993) · doi:10.7551/mitpress/5657.001.0001 · Cited by 3,537
Educational measurement, 3rd ed.
Linn, R. L. (1989) · Cited by 2,857
Knowing What Students Know: The Science and Design of Educational Assessment
Pellegrino, J. W., Chudowsky, N., & Glaser, R. A. (2013) · Cited by 2,402
Handbook of Modern Item Response Theory
(1997) · Springer eBooks · doi:10.1007/978-1-4757-2691-6 · Cited by 2,305
Mental models of the earth: A study of conceptual change in childhood
Vosniadou, S., & Brewer, W. F. (1992) · Cognitive Psychology · doi:10.1016/0010-0285(92)90018-w · Cited by 1,660
Human reasoning: the psychology of deduction
(1994) · Choice Reviews Online · doi:10.5860/choice.31-4073 · Cited by 984
Cited by
The Generalized DINA Model Framework
de la Torre, J. (2011) · Psychometrika · doi:10.1007/s11336-011-9207-7 · Cited by 772
Survey of Computerized Adaptive Testing: A Machine Learning Perspective
Zhuang, Y., Liu, Q., Bi, H., Huang, Z., Huang, W., Li, J., Yu, J., Liu, Z., Hu, Z., Hong, Y., et al. (2026) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2026.3672850 · Cited by 9
“Another approach, the Attribute Hierarchy Method [51], applies rule space theory to structure knowledge dependencies and align examinee proficiencies with the nearest ideal cognitive patterns to obtain diagnostic results.”
Metadata
- Authors
- Leighton, J. P., Gierl, M. J., & Hunka, S. M.
- Venue
- Journal of Educational Measurement
- Publisher
- Wiley
- Published
- 2004-09
- Volume
- 41
- Issue
- 3
- Pages
- 205-237
- ISSN
- 0022-0655 (ISSN-L)
- 1745-3984
- OpenAlex
- W2108611097
- Cited by
- 391
- References
- 62
- FWCI
- 9.96
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The Attribute Hierarchy Method for Cognitive Assessment: A Variation on Tatsuoka's Rule‐Space Approach. https://app.cochat.ai/papers/10.1111/j.1745-3984.2004.tb01163.x
- The paper
- Leighton, J. P., Gierl, M. J., & Hunka, S. M. (2004). The Attribute Hierarchy Method for Cognitive Assessment: A Variation on Tatsuoka's Rule‐Space Approach. Journal of Educational Measurement. https://doi.org/10.1111/j.1745-3984.2004.tb01163.x
Data sources
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.