Tags

Type your tag names separated by a space and hit enter

Rasch analysis of distractors in multiple-choice items.
J Outcome Meas. 1998; 2(1):43-65.JO

Abstract

In order to apply the Rasch model to multiple-choice items, incorrect responses to distractors are usually aggregated to a single category. In doing so, information of individual distractors disappears. In this paper, a Rasch-type analysis is proposed where one parameter is assigned to each distractor. The information is thus preserved. The proposed distractor model can be applied to investigate the performance of distractors, which is useful for item revision. This model is a necessary condition of the Rasch model, that is, fitting the distractor model will fit the Rasch model, but not vice versa. The results of a small simulation study show that parameter recovery of the distractor model is very satisfactory. A real data set of twenty multiple-choice items was analyzed. Some items were found to fit the Rasch model rather than the distractor model. It is this diagnostic value that makes the distractor model suitable for multiple-choice items.

Authors+Show Affiliations

Department of Psychology, National Chung Cheng University, Chia-Yi, Taiwan.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

9661731

Citation

Wang, W C.. "Rasch Analysis of Distractors in Multiple-choice Items." Journal of Outcome Measurement, vol. 2, no. 1, 1998, pp. 43-65.
Wang WC. Rasch analysis of distractors in multiple-choice items. J Outcome Meas. 1998;2(1):43-65.
Wang, W. C. (1998). Rasch analysis of distractors in multiple-choice items. Journal of Outcome Measurement, 2(1), 43-65.
Wang WC. Rasch Analysis of Distractors in Multiple-choice Items. J Outcome Meas. 1998;2(1):43-65. PubMed PMID: 9661731.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Rasch analysis of distractors in multiple-choice items. A1 - Wang,W C, PY - 1998/7/14/pubmed PY - 1998/7/14/medline PY - 1998/7/14/entrez SP - 43 EP - 65 JF - Journal of outcome measurement JO - J Outcome Meas VL - 2 IS - 1 N2 - In order to apply the Rasch model to multiple-choice items, incorrect responses to distractors are usually aggregated to a single category. In doing so, information of individual distractors disappears. In this paper, a Rasch-type analysis is proposed where one parameter is assigned to each distractor. The information is thus preserved. The proposed distractor model can be applied to investigate the performance of distractors, which is useful for item revision. This model is a necessary condition of the Rasch model, that is, fitting the distractor model will fit the Rasch model, but not vice versa. The results of a small simulation study show that parameter recovery of the distractor model is very satisfactory. A real data set of twenty multiple-choice items was analyzed. Some items were found to fit the Rasch model rather than the distractor model. It is this diagnostic value that makes the distractor model suitable for multiple-choice items. SN - 1090-655X UR - https://www.unboundmedicine.com/medline/citation/9661731/Rasch_analysis_of_distractors_in_multiple_choice_items_ DB - PRIME DP - Unbound Medicine ER -