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Inflated scaled scores on the digital WISC-V coding subtest in a Canadian sample.

Amanda M O'Brien1, Alicia N Bartlett1, Natalie Frost1

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Summary
This summary is machine-generated.

The digital version of the Wechsler Intelligence Scale for Children-Fifth Edition (WISC-V) Coding subtest yields higher scaled scores than the paper version. This suggests inflated digital scores, impacting clinical interpretation for psychologists.

Keywords:
Computerized assessmentWISC-V CodingWechsler testsprocessing speedtest equivalence

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Area of Science:

  • Psychology
  • Neuropsychology
  • Educational Assessment

Background:

  • The Wechsler Intelligence Scale for Children-Fifth Edition (WISC-V) is a widely used cognitive assessment tool.
  • A digital version of the WISC-V Coding subtest has been developed, raising questions about score comparability with the traditional paper-and-pencil format.

Purpose of the Study:

  • To compare performance differences between the paper-and-pencil and digital versions of the WISC-V Coding subtest.
  • To investigate potential score inflation in the digital WISC-V Coding subtest.
  • To inform clinical interpretation of WISC-V Coding scores.

Main Methods:

  • A cross-sectional study involving 212 school-aged children (6-14 years).
  • Participants completed either the paper-and-pencil or digital (tablet) version of the WISC-V Coding subtest.
  • One-way ANOVA and post-hoc analyses were used to compare scaled and raw scores, controlling for age and demographic differences.

Main Results:

  • A significant difference in mean scaled scores was found, with the digital version yielding higher scores (large effect size).
  • Normed digital scores appear inflated compared to paper scores.
  • No significant difference in raw scores was observed when controlling for age.

Conclusions:

  • The digital WISC-V Coding subtest produces higher scaled scores than the paper version, indicating potential score inflation.
  • Clinicians should be aware of these differences when interpreting WISC-V Coding scores from the digital version.
  • Further research with random assignment or repeated-measures designs is recommended to confirm these findings.