The Recovery of Correlation between Latent Abilities Using Compensatory and Noncompensatory Multidimensional IRT Models

Autor/inn/en	Fu, Yanyan; Strachan, Tyler; Ip, Edward H.; Willse, John T.; Chen, Shyh-Huei; Ackerman, Terry
Titel	The Recovery of Correlation between Latent Abilities Using Compensatory and Noncompensatory Multidimensional IRT Models
Quelle	In: International Journal of Testing, 20 (2020) 2, S.169-186 (18 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Fu, Yanyan) ORCID (Willse, John T.) Weitere Informationen
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1530-5058
DOI	10.1080/15305058.2019.1692212
Schlagwörter	Item Response Theory; Models; Test Items; Simulation; Correlation; Sample Size; Test Length + Suchen Sie Ihr Suchwort? Item-Response-Theorie; Analogiemodell; Test content; Testaufgabe; Simulation program; Simulationsprogramm; Korrelation
Abstract	This research examined correlation estimates between latent abilities when using the two-dimensional and three-dimensional compensatory and noncompensatory item response theory models. Simulation study results showed that the recovery of the latent correlation was best when the test contained 100% of simple structure items for all models and conditions. When a test measured weakly discriminated dimensions, it became harder to recover the latent correlation. Results also showed that increasing the sample size, test length, or using simpler models (i.e., two-parameter logistic rather than three-parameter logistic, compensatory rather than noncompensatory) could improve the recovery of latent correlation. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01