TY - BOOK ID - 133598763 TI - Analysis of an Intelligence Dataset PY - 2021 PB - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - Psychology KW - Raven matrices KW - Standard Progressive Matrices test KW - dimensionality KW - bi-factor KW - parallel analysis KW - target rotation KW - exploratory graph analysis KW - E-assessment KW - general mental ability KW - nested logit models KW - item-response theory KW - ability-based guessing KW - Standard Progressive Matrices KW - Item Response Theory KW - Bayesian statistics KW - brms KW - Stan KW - R KW - Raven’s progressive matrices KW - intelligence KW - distractors KW - item analysis KW - intelligence tests KW - classical test theory KW - IRT KW - interaction model KW - test-item regression KW - Mokken scale analysis KW - non-parametric item response theory KW - psychometrics KW - invariant item ordering KW - regularized latent class analysis KW - regularization KW - fused regularization KW - fused grouped regularization KW - distractor analysis KW - n/a KW - Raven's progressive matrices UR - https://www.unicat.be/uniCat?func=search&query=sysid:133598763 AB - 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. ER -