Matches in SemOpenAlex for { <https://semopenalex.org/work/W2022423748> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W2022423748 endingPage "132" @default.
- W2022423748 startingPage "97" @default.
- W2022423748 abstract "This article examines the potential contribution of latent trait models to the study of intelligence. Nontechnical introductions to both unidimensional and multidimensional latent trait models are given, and possible research applications are considered. Latent trait models are shown to resolve several measurement problems in studies of intellectual change, including ability modification studies and life-span development studies. Furthermore, under certain conditions, latent trait models are found useful for construct validation research, since they can represent an individual differences model of cognitive processing on ability test items. Multidimensional latent trait models are shown to be especially useful as processing models, because they can be used to test alternative multiple component theories of test item processing. Furthermore, multidimensional models can be used to decompose test item difficulty into component contributions and estimate individual differences in processing abilities." @default.
- W2022423748 created "2016-06-24" @default.
- W2022423748 creator A5020568228 @default.
- W2022423748 date "1980-04-01" @default.
- W2022423748 modified "2023-09-23" @default.
- W2022423748 title "Latent trait models in the study of intelligence" @default.
- W2022423748 cites W1964218847 @default.
- W2022423748 cites W1981198592 @default.
- W2022423748 cites W1985093956 @default.
- W2022423748 cites W2002765677 @default.
- W2022423748 cites W2008033567 @default.
- W2022423748 cites W2014541310 @default.
- W2022423748 cites W2017410258 @default.
- W2022423748 cites W2032305888 @default.
- W2022423748 cites W2033026260 @default.
- W2022423748 cites W2034819500 @default.
- W2022423748 cites W2045761062 @default.
- W2022423748 cites W2050504026 @default.
- W2022423748 cites W2052374047 @default.
- W2022423748 cites W2054058202 @default.
- W2022423748 cites W2057790568 @default.
- W2022423748 cites W2068480333 @default.
- W2022423748 cites W2084182205 @default.
- W2022423748 cites W2086699641 @default.
- W2022423748 cites W2095342230 @default.
- W2022423748 cites W2130044551 @default.
- W2022423748 cites W2141351186 @default.
- W2022423748 cites W2149308824 @default.
- W2022423748 cites W2153012420 @default.
- W2022423748 cites W2167873694 @default.
- W2022423748 cites W2168399827 @default.
- W2022423748 cites W2332939141 @default.
- W2022423748 cites W4242370491 @default.
- W2022423748 cites W4247258503 @default.
- W2022423748 doi "https://doi.org/10.1016/0160-2896(80)90010-0" @default.
- W2022423748 hasPublicationYear "1980" @default.
- W2022423748 type Work @default.
- W2022423748 sameAs 2022423748 @default.
- W2022423748 citedByCount "45" @default.
- W2022423748 crossrefType "journal-article" @default.
- W2022423748 hasAuthorship W2022423748A5020568228 @default.
- W2022423748 hasConcept C106934330 @default.
- W2022423748 hasConcept C121332964 @default.
- W2022423748 hasConcept C138496976 @default.
- W2022423748 hasConcept C151730666 @default.
- W2022423748 hasConcept C15744967 @default.
- W2022423748 hasConcept C168167062 @default.
- W2022423748 hasConcept C171606756 @default.
- W2022423748 hasConcept C180747234 @default.
- W2022423748 hasConcept C19875794 @default.
- W2022423748 hasConcept C199360897 @default.
- W2022423748 hasConcept C2777267654 @default.
- W2022423748 hasConcept C2780801425 @default.
- W2022423748 hasConcept C41008148 @default.
- W2022423748 hasConcept C86803240 @default.
- W2022423748 hasConcept C97355855 @default.
- W2022423748 hasConceptScore W2022423748C106934330 @default.
- W2022423748 hasConceptScore W2022423748C121332964 @default.
- W2022423748 hasConceptScore W2022423748C138496976 @default.
- W2022423748 hasConceptScore W2022423748C151730666 @default.
- W2022423748 hasConceptScore W2022423748C15744967 @default.
- W2022423748 hasConceptScore W2022423748C168167062 @default.
- W2022423748 hasConceptScore W2022423748C171606756 @default.
- W2022423748 hasConceptScore W2022423748C180747234 @default.
- W2022423748 hasConceptScore W2022423748C19875794 @default.
- W2022423748 hasConceptScore W2022423748C199360897 @default.
- W2022423748 hasConceptScore W2022423748C2777267654 @default.
- W2022423748 hasConceptScore W2022423748C2780801425 @default.
- W2022423748 hasConceptScore W2022423748C41008148 @default.
- W2022423748 hasConceptScore W2022423748C86803240 @default.
- W2022423748 hasConceptScore W2022423748C97355855 @default.
- W2022423748 hasIssue "2" @default.
- W2022423748 hasLocation W20224237481 @default.
- W2022423748 hasOpenAccess W2022423748 @default.
- W2022423748 hasPrimaryLocation W20224237481 @default.
- W2022423748 hasRelatedWork W2104441835 @default.
- W2022423748 hasRelatedWork W2105555963 @default.
- W2022423748 hasRelatedWork W2145353363 @default.
- W2022423748 hasRelatedWork W2168424858 @default.
- W2022423748 hasRelatedWork W2205066891 @default.
- W2022423748 hasRelatedWork W2356652779 @default.
- W2022423748 hasRelatedWork W2949540695 @default.
- W2022423748 hasRelatedWork W4254650923 @default.
- W2022423748 hasRelatedWork W4256036313 @default.
- W2022423748 hasRelatedWork W4310937536 @default.
- W2022423748 hasVolume "4" @default.
- W2022423748 isParatext "false" @default.
- W2022423748 isRetracted "false" @default.
- W2022423748 magId "2022423748" @default.
- W2022423748 workType "article" @default.