000 02964naaaa2200733uu 4500
001 https://directory.doabooks.org/handle/20.500.12854/68375
005 20220220092710.0
020 _abooks978-3-0365-0041-6
020 _a9783036500409
020 _a9783036500416
024 7 _a10.3390/books978-3-0365-0041-6
_cdoi
041 0 _aEnglish
042 _adc
072 7 _aJM
_2bicssc
100 1 _aMyszkowski, Nils
_4edt
700 1 _aMyszkowski, Nils
_4oth
245 1 0 _aAnalysis of an Intelligence Dataset
260 _aBasel, Switzerland
_bMDPI - Multidisciplinary Digital Publishing Institute
_c2021
300 _a1 electronic resource (166 p.)
506 0 _aOpen Access
_2star
_fUnrestricted online access
520 _aIn 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.
540 _aCreative Commons
_fhttps://creativecommons.org/licenses/by/4.0/
_2cc
_4https://creativecommons.org/licenses/by/4.0/
546 _aEnglish
650 7 _aPsychology
_2bicssc
653 _aRaven matrices
653 _aStandard Progressive Matrices test
653 _adimensionality
653 _abi-factor
653 _aparallel analysis
653 _atarget rotation
653 _aexploratory graph analysis
653 _aE-assessment
653 _ageneral mental ability
653 _anested logit models
653 _aitem-response theory
653 _aability-based guessing
653 _aStandard Progressive Matrices
653 _aItem Response Theory
653 _aBayesian statistics
653 _abrms
653 _aStan
653 _aR
653 _aRaven’s progressive matrices
653 _aintelligence
653 _adistractors
653 _aitem analysis
653 _aintelligence tests
653 _aclassical test theory
653 _aIRT
653 _ainteraction model
653 _atest-item regression
653 _aMokken scale analysis
653 _anon-parametric item response theory
653 _apsychometrics
653 _ainvariant item ordering
653 _aregularized latent class analysis
653 _aregularization
653 _afused regularization
653 _afused grouped regularization
653 _adistractor analysis
653 _an/a
856 4 0 _awww.oapen.org
_uhttps://mdpi.com/books/pdfview/book/3388
_70
_zDOAB: download the publication
856 4 0 _awww.oapen.org
_uhttps://directory.doabooks.org/handle/20.500.12854/68375
_70
_zDOAB: description of the publication
999 _c78609
_d78609