Group differences in intelligence test performance

Research output: ThesisDoctoral Thesis

Abstract

The increase in IQ test scores denoted by the Flynn effect has important implications for both practices and theory about test scores on standardized intelligence tests. The aim of this project is to apply Multi-group covariance and mean structure (MGCMS) analyses to inter-generational data sets in order to shed light on the nature and the causes of this increase. Furthermore these analyses should use a more precise selection variable (date of birth) instead of the comonly used division into generations of cohorts. A further aim of this project is to incorporate the recently proposed Dickens-Flynn model into MGCMS modeling.
Original languageEnglish
Supervisors/Advisors
  • van der Maas, H.L.J., Promotor, External person
Print ISBNs9789090216225
Publication statusPublished - 2007
Externally publishedYes

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intelligence test
test theory
performance
Group
cause

Cite this

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title = "Group differences in intelligence test performance",
abstract = "The increase in IQ test scores denoted by the Flynn effect has important implications for both practices and theory about test scores on standardized intelligence tests. The aim of this project is to apply Multi-group covariance and mean structure (MGCMS) analyses to inter-generational data sets in order to shed light on the nature and the causes of this increase. Furthermore these analyses should use a more precise selection variable (date of birth) instead of the comonly used division into generations of cohorts. A further aim of this project is to incorporate the recently proposed Dickens-Flynn model into MGCMS modeling.",
author = "J.M. Wicherts",
year = "2007",
language = "English",
isbn = "9789090216225",

}

Group differences in intelligence test performance. / Wicherts, J.M.

2007. 187 p.

Research output: ThesisDoctoral Thesis

TY - THES

T1 - Group differences in intelligence test performance

AU - Wicherts, J.M.

PY - 2007

Y1 - 2007

N2 - The increase in IQ test scores denoted by the Flynn effect has important implications for both practices and theory about test scores on standardized intelligence tests. The aim of this project is to apply Multi-group covariance and mean structure (MGCMS) analyses to inter-generational data sets in order to shed light on the nature and the causes of this increase. Furthermore these analyses should use a more precise selection variable (date of birth) instead of the comonly used division into generations of cohorts. A further aim of this project is to incorporate the recently proposed Dickens-Flynn model into MGCMS modeling.

AB - The increase in IQ test scores denoted by the Flynn effect has important implications for both practices and theory about test scores on standardized intelligence tests. The aim of this project is to apply Multi-group covariance and mean structure (MGCMS) analyses to inter-generational data sets in order to shed light on the nature and the causes of this increase. Furthermore these analyses should use a more precise selection variable (date of birth) instead of the comonly used division into generations of cohorts. A further aim of this project is to incorporate the recently proposed Dickens-Flynn model into MGCMS modeling.

M3 - Doctoral Thesis

SN - 9789090216225

ER -