Analysis of an Intelligence Dataset
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...
Saved in:
Sonstige: | |
---|---|
Year of Publication: | 2021 |
Language: | English |
Physical Description: | 1 electronic resource (166 p.) |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
993545639504498 |
---|---|
ctrlnum |
(CKB)5400000000040519 (oapen)https://directory.doabooks.org/handle/20.500.12854/68375 (EXLCZ)995400000000040519 |
collection |
bib_alma |
record_format |
marc |
spelling |
Myszkowski, Nils edt Analysis of an Intelligence Dataset Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021 1 electronic resource (166 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier Open access Unrestricted online access star 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. English Psychology bicssc 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 3-0365-0040-5 3-0365-0041-3 Myszkowski, Nils oth |
language |
English |
format |
eBook |
author2 |
Myszkowski, Nils |
author_facet |
Myszkowski, Nils |
author2_variant |
n m nm |
author2_role |
Sonstige |
title |
Analysis of an Intelligence Dataset |
spellingShingle |
Analysis of an Intelligence Dataset |
title_full |
Analysis of an Intelligence Dataset |
title_fullStr |
Analysis of an Intelligence Dataset |
title_full_unstemmed |
Analysis of an Intelligence Dataset |
title_auth |
Analysis of an Intelligence Dataset |
title_new |
Analysis of an Intelligence Dataset |
title_sort |
analysis of an intelligence dataset |
publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
publishDate |
2021 |
physical |
1 electronic resource (166 p.) |
isbn |
3-0365-0040-5 3-0365-0041-3 |
illustrated |
Not Illustrated |
work_keys_str_mv |
AT myszkowskinils analysisofanintelligencedataset |
status_str |
n |
ids_txt_mv |
(CKB)5400000000040519 (oapen)https://directory.doabooks.org/handle/20.500.12854/68375 (EXLCZ)995400000000040519 |
carrierType_str_mv |
cr |
is_hierarchy_title |
Analysis of an Intelligence Dataset |
author2_original_writing_str_mv |
noLinkedField |
_version_ |
1796651435037818880 |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02748nam-a2200733z--4500</leader><controlfield tag="001">993545639504498</controlfield><controlfield tag="005">20240103145730.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr|mn|---annan</controlfield><controlfield tag="008">202105s2021 xx |||||o ||| 0|eng d</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)5400000000040519</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(oapen)https://directory.doabooks.org/handle/20.500.12854/68375</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)995400000000040519</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Myszkowski, Nils</subfield><subfield code="4">edt</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Analysis of an Intelligence Dataset</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="a">Basel, Switzerland</subfield><subfield code="b">MDPI - Multidisciplinary Digital Publishing Institute</subfield><subfield code="c">2021</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 electronic resource (166 p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="506" ind1=" " ind2=" "><subfield code="a">Open access</subfield><subfield code="f">Unrestricted online access</subfield><subfield code="2">star</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Psychology</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Raven matrices</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Standard Progressive Matrices test</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">dimensionality</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">bi-factor</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">parallel analysis</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">target rotation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">exploratory graph analysis</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">E-assessment</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">general mental ability</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">nested logit models</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">item-response theory</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">ability-based guessing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Standard Progressive Matrices</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Item Response Theory</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Bayesian statistics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">brms</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Stan</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">R</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Raven's progressive matrices</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">intelligence</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">distractors</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">item analysis</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">intelligence tests</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">classical test theory</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">IRT</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">interaction model</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">test-item regression</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Mokken scale analysis</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">non-parametric item response theory</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">psychometrics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">invariant item ordering</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">regularized latent class analysis</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">regularization</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">fused regularization</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">fused grouped regularization</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">distractor analysis</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-0365-0040-5</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-0365-0041-3</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Myszkowski, Nils</subfield><subfield code="4">oth</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2024-01-04 01:59:24 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2022-04-04 09:22:53 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="i">DOAB Directory of Open Access Books</subfield><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5338004440004498&Force_direct=true</subfield><subfield code="Z">5338004440004498</subfield><subfield code="b">Available</subfield><subfield code="8">5338004440004498</subfield></datafield></record></collection> |