Gaussian mixture models for the analysis of wisc-iv dimensions: A multivariate approach to improve the assessment of intellectual functioning

Rosa Fabbricatore, Davide Marocco, Francesco Palumbo, Serafino Buono, Santo Di Nuovo

Research output: Contribution to journalArticlepeer-review

Abstract

The Wechsler Intelligence Scale for Children-IV provides four indexes that analyze the intellectual functioning in specific cognitive fields and a full-scale intelligence quotient (FSIQ) as measure of the general cognitive ability. However, often the diagnostic process considers the FSIQ score only. This study exploits the Gaussian mixture model (GMM) as a statistical tool to analyze WISC-IV capability to support the diagnostic decision-making process in a multidimensional approach based on the joint evaluation of the four main indexes. The study was conducted on two groups of participants (10 and 12 years old with N = 52 and N = 47, respectively) with clinical diagnosis. In addition, N = 50 observa-tions were randomly generated from the distribution of the Italian reference populations referred to each age group. In both groups, GMM detected two components underlining different behaviors in cen-tral tendency, variability, and correlation. Comparison of GMM partitions with a supervised classification shows that group memberships are congruent.

Original languageEnglish
Pages (from-to)529-544
Number of pages16
JournalTPM - Testing, Psychometrics, Methodology in Applied Psychology
Volume27
Issue number4
Early online date2020
DOIs
Publication statusPublished - 2021

Keywords

  • Gaussian mixture models
  • Intellectual disabilities
  • Intellectual functioning
  • Multivariate assessment
  • WISC-IV

ASJC Scopus subject areas

  • Social Psychology
  • Applied Psychology
  • Psychology (miscellaneous)

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