title: Introducing a Bayesian Approach to Determining Degree of Fit With Existing Rorschach Norms.
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 ). Strengths and limitations of this new statistical technique are discussed.
authors.affiliation: a California School of Professional Psychology , Alliant International University.
authors.forename: Luciano
authors.initials: L
authors.lastname: Giromini
authors.forename: Donald J
authors.initials: DJ
authors.lastname: Viglione
authors.forename: Joseph
authors.initials: J
authors.lastname: McCullaugh
mesh_terms: D000328:Adult; D000368:Aged; D001499:Bayes Theorem; D002140:California; D003431:Cross-Cultural Comparison; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D016017:Odds Ratio; D011594:Psychometrics; D012016:Reference Values; D015203:Reproducibility of Results; D012392:Rorschach Test / Q000592:standards*; D014838:Volunteers; D055815:Young Adult