On Bank Assembly and Block Selection in Multidimensional Forced-Choice Adaptive Assessments

Autor/inn/en	Kreitchmann, Rodrigo S.; Sorrel, Miguel A.; Abad, Francisco J.
Titel	On Bank Assembly and Block Selection in Multidimensional Forced-Choice Adaptive Assessments
Quelle	In: Educational and Psychological Measurement, 83 (2023) 2, S.294-321 (28 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Kreitchmann, Rodrigo S.) ORCID (Sorrel, Miguel A.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0013-1644
DOI	10.1177/00131644221087986
Schlagwörter	Measurement Techniques; Questionnaires; Social Desirability; Adaptive Testing; Test Items; Scores; Item Response Theory; Computer Assisted Testing; Item Banks; Bayesian Statistics + Suchen Sie Ihr Suchwort? Messtechnik; Fragebogen; Soziales Bedürfnis; Test content; Testaufgabe; Item-Response-Theorie
Abstract	Multidimensional forced-choice (FC) questionnaires have been consistently found to reduce the effects of socially desirable responding and faking in noncognitive assessments. Although FC has been considered problematic for providing ipsative scores under the classical test theory, item response theory (IRT) models enable the estimation of nonipsative scores from FC responses. However, while some authors indicate that blocks composed of opposite-keyed items are necessary to retrieve normative scores, others suggest that these blocks may be less robust to faking, thus impairing the assessment validity. Accordingly, this article presents a simulation study to investigate whether it is possible to retrieve normative scores using only positively keyed items in pairwise FC computerized adaptive testing (CAT). Specifically, a simulation study addressed the effect of (a) different bank assembly (with a randomly assembled bank, an optimally assembled bank, and blocks assembled "on-the-fly" considering every possible pair of items), and (b) block selection rules (i.e., T, and Bayesian D and A-rules) over the estimate accuracy and ipsativity and overlap rates. Moreover, different questionnaire lengths (30 and 60) and trait structures (independent or positively correlated) were studied, and a nonadaptive questionnaire was included as baseline in each condition. In general, very good trait estimates were retrieved, despite using only positively keyed items. Although the best trait accuracy and lowest ipsativity were found using the Bayesian A-rule with questionnaires assembled "on-the-fly," the T-rule under this method led to the worst results. This points out to the importance of considering both aspects when designing FC CAT. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01