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Related Concept Videos

Statistical Significance01:37

Statistical Significance

Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
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Spearman's rank correlation test, also known as Spearman's rho, is a nonparametric method for assessing the strength and direction of association between two variables. This test is particularly valuable when the data distribution is unknown or when the assumption of normality does not hold. Named after the English psychologist and statistician Dr. Charles Edward Spearman, it serves as the nonparametric counterpart to Pearson's correlation coefficient.
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Updated: Jul 5, 2026

The Crossmodal Congruency Task as a Means to Obtain an Objective Behavioral Measure in the Rubber Hand Illusion Paradigm
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Statistical power and the Rorschach: 1975-1991.

M W Acklin1, C J McDowell, S Orndoff

  • 1Department of Psychiatry, University of Hawaii, Honolulu, USA.

Journal of Personality Assessment
|January 1, 1992
PubMed
Summary

Rorschach Inkblot Test research often lacks statistical power, hindering reliable findings. Improving study designs, like increasing sample sizes, is crucial for consistent results in psychological assessments.

Area of Science:

  • Psychology
  • Psychometrics
  • Behavioral Science

Background:

  • The Rorschach Inkblot Test faces ongoing debate regarding its fundamental nature and psychometric validity.
  • Statistical power, a key concept in research, has been largely overlooked in Rorschach studies.
  • Inconsistent research findings have fueled decades of controversy and criticism surrounding the Rorschach.

Purpose of the Study:

  • To introduce and discuss the concept of statistical power within the context of Rorschach research.
  • To conduct a power survey of Rorschach literature published between 1975 and 1991.
  • To assess the power of Rorschach research to detect various effect sizes.

Main Methods:

  • A comprehensive power survey was conducted on 158 Rorschach articles published in eight prominent psychology journals.

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  • Statistical power was calculated for 2,300 individual statistical tests reported in the selected literature.
  • Power was analyzed for detecting small (.13), medium (.56), and large (.85) effect sizes.
  • Main Results:

    • Rorschach research, similar to broader behavioral science, is significantly underpowered to detect the effects under investigation.
    • The study found power levels of .13 for small, .56 for medium, and .85 for large effect sizes.
    • Research utilizing the Comprehensive System for the Rorschach demonstrated comparatively higher statistical power.

    Conclusions:

    • Underpowered research in the Rorschach field contributes to inconsistent findings and ongoing controversies.
    • Recommendations for enhancing Rorschach research power include larger sample sizes and parametric statistics.
    • Strengthening study designs and reporting practices is essential for advancing the validity and reliability of Rorschach research.