A reversal of the Flynn effect for spatial perception in German-speaking countries: Evidence from a cross-temporal IRT-based meta-analysis (1977-2014)

Jakob Pietschnig (Corresponding author), Georg Gittler

Publications: Contribution to journalArticlePeer Reviewed

Abstract

Generational IQ changes (the Flynn effect) have been shown to be predominantly positive but differentiated according to IQ domains and countries. However, evidence from recent studies points towards a decrease of the Flynn effect globally or even a reversal in some countries. In the present meta-analysis, we show an inverse u-shaped trajectory of IQ test performance changes in a large number of samples (k = 96; N = 13,172) on a well-known test for spatial perception (the three-dimensional cubes test, 3DC) in German-speaking countries over 38 years (1977–2014). Assessment of both item response theory-based measures as well as more standard measures of classical test theory showed initial increases and a subsequent decrease of performance when controlling for age, sample type (general population vs. mixed samples vs. university students) and sex. Our results suggest saturation and diminishing returns of IQ increasing factors (e.g., life history speed) whilst negative associations of IQ changes with psychometric g may have led to the observed IQ score decrease in more recent years.

Original languageEnglish
Pages (from-to)145-153
Number of pages9
JournalIntelligence: a multidisciplinary journal
Volume53
DOIs
Publication statusPublished - Nov 2015

Austrian Fields of Science 2012

  • 501004 Differential psychology

Keywords

  • Flynn effect
  • Spatial abilities
  • Spatial perception
  • Orientation
  • CROSS-TEMPORAL METAANALYSIS
  • ROTATION
  • TESTS
  • TEST-SCORES
  • SEX
  • TIME
  • IQ GAINS
  • DECLINE
  • RISE
  • INTELLIGENCE
  • ABILITY
  • Cross-temporal meta-analysis

Fingerprint

Dive into the research topics of 'A reversal of the Flynn effect for spatial perception in German-speaking countries: Evidence from a cross-temporal IRT-based meta-analysis (1977-2014)'. Together they form a unique fingerprint.

Cite this