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Article: 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
Title | 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 |
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Authors | |
Keywords | model selection Raven Akaike information criterion Bayesian information criterion item response theory |
Issue Date | 2021 |
Citation | Journal of Psychoeducational Assessment, 2021, v. 39 n. 1, p. 100-111 How to Cite? |
Abstract | © The Author(s) 2020. 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 (Mage = 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. |
Persistent Identifier | http://hdl.handle.net/10722/288817 |
ISSN | 2023 Impact Factor: 1.5 2023 SCImago Journal Rankings: 0.688 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Lúcio, Patrícia Silva | - |
dc.contributor.author | Vandekerckhove, Joachim | - |
dc.contributor.author | Polanczyk, Guilherme V. | - |
dc.contributor.author | Cogo-Moreira, Hugo | - |
dc.date.accessioned | 2020-10-12T08:05:57Z | - |
dc.date.available | 2020-10-12T08:05:57Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Journal of Psychoeducational Assessment, 2021, v. 39 n. 1, p. 100-111 | - |
dc.identifier.issn | 0734-2829 | - |
dc.identifier.uri | http://hdl.handle.net/10722/288817 | - |
dc.description.abstract | © The Author(s) 2020. 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 (Mage = 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. | - |
dc.language | eng | - |
dc.relation.ispartof | Journal of Psychoeducational Assessment | - |
dc.subject | model selection | - |
dc.subject | Raven | - |
dc.subject | Akaike information criterion | - |
dc.subject | Bayesian information criterion | - |
dc.subject | item response theory | - |
dc.title | 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 | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1177/0734282920930923 | - |
dc.identifier.scopus | eid_2-s2.0-85087556728 | - |
dc.identifier.volume | 39 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | 100 | - |
dc.identifier.epage | 111 | - |
dc.identifier.isi | WOS:000546663000001 | - |
dc.identifier.issnl | 0734-2829 | - |