Myszkowski, Nils <br/><br/>
Analysis of an Intelligence Dataset 

 - Basel, Switzerland  MDPI - Multidisciplinary Digital Publishing Institute  2021 
 - 1 electronic resource (166 p.) 
<br/><br/> Open Access 
<br/><br/> 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. 
<br/><br/><br/>Creative Commons 
<br/><br/><br/>English 
<br/><br/><label>ISBN: </label>books978-3-0365-0041-6 9783036500409 9783036500416 
<br/><br/><label>Standard No.: </label>10.3390/books978-3-0365-0041-6  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Psychology
<br/><br/><label>Subjects--Index Terms: </label>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 n/a