PL EN


Journal
2015 | 3(134) | 63–76
Article title

Does guessing matter? Differences between ability estimates from 2PL and 3PL IRT models in case of guessing

Title variants
Languages of publication
EN
Abstracts
EN
Modern approaches to measuring cognitive ability and testing knowledge frequently use multiple-choice items. These can be simply and rapidly scored without problems associated with rater subjectivity. Nevertheless, multiple-choice tests are often criticized owing to their vulnerability to guessing. In this paper the impact of guessing was examined using simulation. Ability estimates were obtained from the two IRT models commonly used for binary-scored items: the two-parameter logistic model and the three-parameter logistic model. The latter approach explicitly models guessing, whilst the former does not. Rather counter-intuitively, little difference was identified for point estimates of ability from the 2PLM and 3PLM. Nevertheless, it should be noted that difficulty and discrimination parameters are severely downwardly biased if a 2PLM is used to calibrate data generated by processes involving guessing. Estimated standard errors for ability estimates also differ considerably between these models.
Keywords
EN
Journal
Year
Issue
Pages
63–76
Physical description
Dates
published
2015-09-30
Contributors
  • Educational Research Institute
  • Educational Research Institute
References
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  • San Martín, E. S., Pino, G. del and De Boeck, P. D. (2006). IRT models for ability-based guessing. Applied Psychological Measurement, 30(3), 183–203.
  • Shrock, S. A. and Coscarelli, W. C. (2008). Criterion-referenced test development: technical and legal guidelines for corporate training (3rd ed.). San Francisco: Wiley.
  • Woods, C. M. (2008). Consequences of ignoring guessing when estimating the latent density in item response theory. Applied Psychological Measurement, 32(5), 371–384.
  • Yen, W. M. (1981). Using simulated results to choose a latent trait model. Applied Psychologial Measurement, 5(2), 245–262.
  • Zimmerman, D. W. and Williams, R. H. (1997). Properties of the Spearman correction for attenuation for normal and realistic non-normal distributions. Applied Psychological Measurement, 21(3), 253–270.
Notes
http://www.edukacja.ibe.edu.pl/images/numery/2015/3-4-zoltak-golonka-does-guessing-matter.pdf
Document Type
Publication order reference
Identifiers
ISSN
0239-6858
YADDA identifier
bwmeta1.element.desklight-e42057d0-c921-4e0c-97e8-186d9c30aa90
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