Literaturnachweis - Detailanzeige
| Autor/inn/en | Belov, Dmitry I.; Armstrong, Ronald D. |
|---|---|
| Titel | Automatic Detection of Answer Copying via Kullback-Leibler Divergence and K-Index |
| Quelle | In: Applied Psychological Measurement, 34 (2010) 6, S.379-392 (14 Seiten)
PDF als Volltext |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 0146-6216 |
| DOI | 10.1177/0146621610370453 |
| Schlagwörter | Multiple Choice Tests; Cheating; Statistical Analysis; Monte Carlo Methods; Item Response Theory |
| Abstract | This article presents a new method to detect copying on a standardized multiple-choice exam. The method combines two statistical approaches in successive stages. The first stage uses Kullback-Leibler divergence to identify examinees, called subjects, who have demonstrated inconsistent performance during an exam. For each subject the second stage uses the K-Index to search for a possible source of the responses. Both stages apply a hypothesis test given a significance level. Monte Carlo methods are applied to approximate empirical distributions and then compute critical values providing a low Type I error rate and a good copying-detection rate. The results with both simulated and empirical data demonstrate the effectiveness of this approach. (Contains 1 table and 5 figures.) (As Provided). |
| Anmerkungen | SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2017/4/10 |
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