Introducing a Bayesian Approach to Determining Degree of Fit With Existing Rorschach Norms

Luciano Giromini · Donald J. Viglione · Joseph M. McCullaugh

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Psychological Testing and Assessment Psychometric Methodologies and Testing Reliability and Agreement in Measurement

Abstract

This article offers a new methodological approach to investigate the degree of fit between an independent sample and 2 existing sets of norms. Specifically, with a new adaptation of a Bayesian method, we developed a user-friendly procedure to compare the mean values of a given sample to those of 2 different sets of Rorschach norms. To illustrate our technique, we used a small, U.S. community sample of 80 adults and tested whether it resembled more closely the standard Comprehensive System norms (CS 600; Exner, 2003), or a recently introduced, internationally based set of Rorschach norms (Meyer, Erdberg, & Shaffer, 2007 Meyer, G. J., Erdberg, P., & Shaffer, T. W. (2007). Toward international normative reference data for the Comprehensive System. Journal of Personality Assessment, 89(Suppl. 1), S201–S216.[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]). Strengths and limitations of this new statistical technique are discussed.

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References

1979Intraclass correlations: Uses in assessing rater reliability.2022Diagnostic and Statistical Manual of Mental Disorders 1994Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology.1981Diagnostic and Statistical Manual of Mental Disorders, 3rd ed 2010Rorschach Comprehensive System 1980The MMPI-2 : an interpretive manual 2001A Rorschach workbook for the comprehensive system 2011A Bayes factor meta-analysis of Bem’s ESP claim

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