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Bootstrap Exploratory Graph Analysis of the WISC-V with a Clinical Sample.

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Exploratory Graph Analysis (EGA) revealed four dimensions for the Wechsler Intelligence Scale for Children–Fifth Edition (WISC-V), differing from traditional factor analysis. This finding raises concerns about current WISC-V interpretations in clinical psychology.

Keywords:
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Area of Science:

  • Psychological assessment
  • Psychometrics
  • Network analysis

Background:

  • Structural validity is crucial for construct validity in psychological testing.
  • Traditional factor analysis methods have yielded inconsistent dimensionality for the WISC-V.
  • Exploratory Graph Analysis (EGA) offers an alternative approach to identifying test structure.

Purpose of the Study:

  • To investigate the structural validity of the WISC-V using a bootstrap EGA technique.
  • To compare the dimensionality identified by EGA with traditional factor analytic findings.
  • To examine the construct and scoring structures of the WISC-V in a large clinical sample.

Main Methods:

  • Employed a bootstrap Exploratory Graph Analysis (EGA) on a large clinical sample (N = 7149).
  • Analyzed the structure of the 10 primary subtests of the WISC-V.
  • Investigated network structures without assuming common latent causes for score covariation.

Main Results:

  • Identified a four-subnetwork structure for the WISC-V primary subtests.
  • The EGA structure indicated a merging of fluid reasoning and visual-spatial dimensions.
  • Results suggest a discrepancy between the WISC-V's construct and publisher-preferred scoring structures.

Conclusions:

  • The study highlights potential issues with WISC-V interpretations due to structural discrepancies.
  • EGA provides a novel perspective on the WISC-V's dimensionality.
  • Psychologists should be cautious when interpreting WISC-V results based on the publisher's structure.