Literaturnachweis - Detailanzeige
Autor/inn/en | Diao, Hongyu; Keller, Lisa |
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Titel | Investigating Repeater Effects on Small Sample Equating: Include or Exclude? |
Quelle | In: Applied Measurement in Education, 33 (2020) 1, S.54-66 (13 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 0895-7347 |
DOI | 10.1080/08957347.2019.1674302 |
Schlagwörter | Licensing Examinations (Professions); College Entrance Examinations; Repetition; Testing Problems; Test Wiseness; Sampling; Sample Size; Equated Scores; Evaluation Criteria; Item Response Theory; True Scores |
Abstract | Examinees who attempt the same test multiple times are often referred to as "repeaters." Previous studies suggested that repeaters should be excluded from the total sample before equating because repeater groups are distinguishable from non-repeater groups. In addition, repeaters might memorize anchor items, causing item drift under a non-equivalent anchor test (NEAT) design. However, under small sample equating conditions, removing repeaters might lead to smaller sample size, which increases sampling errors. Therefore, three solutions were investigated in the current study: (1) excluding repeaters, (2) excluding drifted anchor items, and (3) applying Rasch true score equating to maintain the population invariance if repeaters were removed. The results suggested excluding repeaters if the anchor were exposed to them. Circle arc equating can be applied if it is impossible to exclude all drifted anchor items. Applying Rasch true did outperform solutions. (As Provided). |
Anmerkungen | Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2024/1/01 |