The Impact of R-Optimized Administration Modeling Procedures on Brazilian Normative Reference Values for Rorschach Scores Article (Faculty180)

cited authors

  • Pianowski, Giselle; Meyer, Gregory J; Villemor-Amaral, Anna E


  • To generate normative reference data for the Rorschach Performance Assessment System (R-PAS), modeling procedures were developed to convert the distribution of responses (R) in protocols obtained using Comprehensive System (CS; Exner 2003 ) administration guidelines to match the distribution of R in protocols obtained using R-Optimized Administration (Meyer, Viglione, Mihura, Erard, & Erdberg, 2011 ). This study replicates the R-PAS study, examining the impact of modeling R-Optimized Administration on Brazilian normative reference values by comparing a sample of 746 CS administered protocols to its counterpart sample of 343 records modeled to match R-Optimized Administration. The results were strongly consistent with the R-PAS findings, showing the modeled records had a slightly higher mean R and, secondarily, slightly higher means for Complexity and V-Comp, as well as smaller standard deviations for R, Complexity, and R8910%. We also observed 5 other small differences not observed in the R-PAS study. However, when comparing effect sizes for the differences in means and standard deviations observed in this study to the differences found in the R-PAS study, the results were virtually identical. These findings suggest that using R-Optimized Administration in Brazil might produce normative results that are similar to traditional CS norms for Brazil and similar to the international norms used in R-PAS.

publication date

  • 2016

published in

start page

  • 408

end page

  • 18


  • 98