Analysis of an Intelligence Dataset |
Autore | Myszkowski Nils |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (166 p.) |
Soggetto topico | Psychology |
Soggetto non controllato |
Raven matrices
Standard Progressive Matrices test dimensionality bi-factor parallel analysis target rotation exploratory graph analysis E-assessment general mental ability nested logit models item-response theory ability-based guessing Standard Progressive Matrices Item Response Theory Bayesian statistics brms Stan R Raven's progressive matrices intelligence distractors item analysis intelligence tests classical test theory IRT interaction model test-item regression Mokken scale analysis non-parametric item response theory psychometrics invariant item ordering regularized latent class analysis regularization fused regularization fused grouped regularization distractor analysis |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557153803321 |
Myszkowski Nils | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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The great debate : general ability and specific abilities in the prediction of important outcomes / / special issue editors, Harrison J. Kell and Jonas W.B. Lang |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (108 p.) |
Disciplina | 153.9 |
Soggetto topico |
Intelligence
Forecasting |
Soggetto non controllato |
general cognitive ability
second stratum abilities narrow abilities cognitive abilities ability tilt identification occupational attainment scholastic performance longevity non-g residuals specific abilities higher-order factor model bifactor model intelligence general intelligence (g) specific factors academic achievement hierarchical factor model educational attainment nested-factor models ability differentiation general abilities relative importance relative importance analysis bifactor(S-1) model subscores g-factor school grades non-g factors nested-factors model general mental ability cognitive tests specific cognitive abilities curvilinear relations specific ability situational specificity predictor-criterion bandwidth alignment job performance health machine learning academic performance general factor |
ISBN | 3-03921-168-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Great Debate |
Record Nr. | UNINA-9910346667303321 |
MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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