Analysis of an Intelligence Dataset

• Autore: Myszkowski Nils
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
• Descrizione fisica: 1 online resource (166 p.)
• Soggetto topico: Psychology
• Soggetto non controllato: ability-based guessing; Bayesian statistics; bi-factor; brms; classical test theory; dimensionality; distractor analysis; distractors; E-assessment; exploratory graph analysis; fused grouped regularization; fused regularization; general mental ability; intelligence; intelligence tests; interaction model; invariant item ordering; IRT; item analysis; Item Response Theory; item-response theory; Mokken scale analysis; n/a; nested logit models; non-parametric item response theory; parallel analysis; psychometrics; R; Raven matrices; Raven's progressive matrices; regularization; regularized latent class analysis; Stan; Standard Progressive Matrices; Standard Progressive Matrices test; target rotation; test-item regression
• Persona (resp. second.): MyszkowskiNils
• Sommario/riassunto: In this issue, psychometrics researchers were invited to make reanalyses or extensions of a previously published dataset from a recent paper by Myszkowski and Storme (2018). The dataset analyzed consisted of responses to a multiple-choice logical reasoning nonverbal test, comprising the last series of Raven's (1941) Standard Progressive Matrices. Although the original paper already proposed several modeling strategies, this issue presents new or improved procedures to study the psychometrics properties of tests of this type.
• Titolo autorizzato: Analysis of an Intelligence Dataset
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557153803321
• Lo trovi qui: Univ. Federico II