Analysing Standard Progressive Matrices (SPM-LS) with Bayesian Item Response Models

Autor/in	Bürkner, Paul-Christian
Titel	Analysing Standard Progressive Matrices (SPM-LS) with Bayesian Item Response Models
Quelle	In: Journal of Intelligence, 8 (2020), Artikel 5 (18 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	ORCID (Bürkner, Paul-Christian)
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2079-3200
Schlagwörter	Intelligence Tests; Matrices; Bayesian Statistics; Item Response Theory; Cognitive Ability; Models; Robustness (Statistics); Raven Progressive Matrices + Suchen Sie Ihr Suchwort? Intelligence test; Intelligenztest; Matrizenrechnung; Item-Response-Theorie; Denkfähigkeit; Analogiemodell; Widerstandsfähigkeit
Abstract	Raven's Standard Progressive Matrices (SPM) test and related matrix-based tests are widely applied measures of cognitive ability. Using Bayesian Item Response Theory (IRT) models, I reanalyzed data of an SPM short form proposed by Myszkowski and Storme (2018) and, at the same time, illustrate the application of these models. Results indicate that a three-parameter logistic (3PL) model is sufficient to describe participants dichotomous responses (correct vs. incorrect) while persons' ability parameters are quite robust across IRT models of varying complexity. These conclusions are in line with the original results of Myszkowski and Storme (2018). Using Bayesian as opposed to frequentist IRT models offered advantages in the estimation of more complex (i.e., 3-4PL) IRT models and provided more sensible and robust uncertainty estimates. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01