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Related Experiment Videos

R in Rorschach research: a ghost revisited.

J E Exner1

  • 1Rorschach Workshops, Asheville, NC 28815-9010, USA.

Journal of Personality Assessment
|January 1, 1992
PubMed
Summary

Normalization of Rorschach test scores is often debated. However, most Rorschach analyses do not require score normalization, especially when using nonparametric variables, to avoid distorting results.

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Area of Science:

  • Psychological assessment
  • Psychometrics
  • Rorschach testing

Background:

  • The Rorschach test is a widely used projective psychological assessment.
  • A recurring debate in Rorschach research concerns the necessity of normalizing or partialing scores in relation to the total number of responses (R).
  • Previous arguments for normalization often cite Cronbach (1949) and Fiske & Baughman (1953).

Purpose of the Study:

  • To investigate the necessity of normalizing Rorschach scores in relation to the total number of responses (R) in data analysis.
  • To determine if intercorrelations between R and other Rorschach variables are significant enough to warrant normalization.
  • To assess the impact of normalization on both parametric and nonparametric Rorschach variables.

Main Methods:

  • Analysis of intercorrelations between R and various parametric Rorschach variables.
  • Examination of Rorschach data from groups including nonpatients, schizophrenics, and depressives.
  • Consideration of the effects of normalization on nonparametric variables.

Main Results:

  • Intercorrelations between R and most parametric Rorschach variables were found to be non-significant across the studied groups.
  • Normalization or partialing for R is generally not required for most Rorschach data analyses.
  • Normalization or partialing is inappropriate and distorts distributions when nonparametric variables are included.

Conclusions:

  • Most Rorschach analyses can proceed without normalizing or partialing for R.
  • The issue of R normalization is critical only when specific variables are included in the analysis.
  • Normalization procedures can inappropriately distort data, particularly with nonparametric Rorschach variables.

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