Is It Worthy to Take Account of the "Guessing" in the Performance of the Raven Test? Calling for the Principle of Parsimony for Test Validation

Autor/inn/en	Lúcio, Patrícia Silva; Vandekerckhove, Joachim; Polanczyk, Guilherme V.; Cogo-Moreira, Hugo
Titel	Is It Worthy to Take Account of the "Guessing" in the Performance of the Raven Test? Calling for the Principle of Parsimony for Test Validation
Quelle	In: Journal of Psychoeducational Assessment, 39 (2021) 1, S.100-111 (12 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Lúcio, Patrícia Silva)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0734-2829
DOI	10.1177/0734282920930923
Schlagwörter	Guessing (Tests); Item Response Theory; Test Validity; Preschool Children; Foreign Countries; Nonverbal Ability; Comparative Analysis; Correlation; Intelligence Tests; Probability; Goodness of Fit; Models; Bayesian Statistics; Brazil; Raven Progressive Matrices + Suchen Sie Ihr Suchwort? Erraten; Item-Response-Theorie; Testvalidität; Pre-school age; Preschool age; Child; Children; Pre-school education; Preschool education; Vorschulalter; Kind; Kinder; Vorschulkind; Vorschulkinder; Vorschulerziehung; Vorschule; Ausland; Korrelation; Intelligence test; Intelligenztest; Wahrscheinlichkeitsrechnung; Wahrscheinlichkeitstheorie; Analogiemodell; Brasilien
Abstract	The present study compares the fit of two- and three-parameter logistic (2PL and 3PL) models of item response theory in the performance of preschool children on the Raven's Colored Progressive Matrices. The test of Raven is widely used for evaluating nonverbal intelligence of factor g. Studies comparing models with real data are scarce on the literature and this is the first to compare models of two and three parameters for the test of Raven, evaluating the informational gain of considering guessing probability. Participants were 582 Brazilian's preschool children (M[subscript age] = 57 months; SD = 7 months; 46% female) who responded individually to the instrument. The model fit indices suggested that the 2PL fit better to the data. The difficulty and ability parameters were similar between the models, with almost perfect correlations. Differences were observed in terms of discrimination and test information. The principle of parsimony must be called for comparing models. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01