Affordable Access

deepdyve-link
Publisher Website

Psychometric Network Analysis of the Hungarian WAIS.

Authors
  • Schmank, Christopher J1
  • Goring, Sara Anne2
  • Kovacs, Kristof3
  • Conway, Andrew R A4
  • 1 Department of Psychology, Claremont Graduate University, Claremont 91711, CA, USA. [email protected]
  • 2 Department of Psychology, Claremont Graduate University, Claremont 91711, CA, USA. [email protected]
  • 3 Institute of Psychology, ELTE Eötvös Loránd University of Applied Sciences, 1053 Budapest, Hungary. [email protected] , (Hungary)
  • 4 Department of Psychology, Claremont Graduate University, Claremont 91711, CA, USA. [email protected]
Type
Published Article
Journal
Journal of Intelligence
Publication Date
Sep 09, 2019
Volume
7
Issue
3
Identifiers
DOI: 10.3390/jintelligence7030021
PMID: 31505834
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

The positive manifold-the finding that cognitive ability measures demonstrate positive correlations with one another-has led to models of intelligence that include a general cognitive ability or general intelligence (g). This view has been reinforced using factor analysis and reflective, higher-order latent variable models. However, a new theory of intelligence, Process Overlap Theory (POT), posits that g is not a psychological attribute but an index of cognitive abilities that results from an interconnected network of cognitive processes. These competing theories of intelligence are compared using two different statistical modeling techniques: (a) latent variable modeling and (b) psychometric network analysis. Network models display partial correlations between pairs of observed variables that demonstrate direct relationships among observations. Secondary data analysis was conducted using the Hungarian Wechsler Adult Intelligence Scale Fourth Edition (H-WAIS-IV). The underlying structure of the H-WAIS-IV was first assessed using confirmatory factor analysis assuming a reflective, higher-order model and then reanalyzed using psychometric network analysis. The compatibility (or lack thereof) of these theoretical accounts of intelligence with the data are discussed.

Report this publication

Statistics

Seen <100 times