Métodos Projetivos e Avaliação Psicológica - BVS Psicologia ...

109biggest differences and problems are with Form Quality with non‐patients around the worldpresenting more distorted responses than would be expected. For X‐% the international data(Meyer, Erdberg, & Shaffer, 2007)which include U.S. and Brazilian data, has a mean of .19 withan average range from .14 to .24, whereas the CS norm is .07 with a range from .04 to .10.Norms also diverge for human imagery, color variables, complexity variables, and some others,including Texture for example. Moreover, the CS norms have a bias toward negativeinterpretations, thus making Brazilians and Americans, as well as everybody else appear to bemore pathological. The same is true for children (Meyer et al., 2007; Stanfill, Viglione, &Resende, in press).The R‐PAS Solution to the problem with normative data is to adapt the internationalreference data published by Meyer et al., in 2007 for its norms. Doing so creates readilyinterpretable norms that apply a common benchmark across scores and puts all scores on thesame scale to make them comparable. From another perspective it is a simplification consistentwith R‐PAS goals.To create the R‐PAS norms, as outlined in the R‐PAS manual (Meyer et al, 2011) westarted with 1396 international protocols from authors of the 2007 international supplement ofthe Journal of Personality Assessment in 2007.To increase generalizability no group contributedmore than 100 records. These include Brazilian and American non‐patient records. Theserecords were administered using the CS coding system. As will be explained later, R‐PASemploys methods to optimize the range of the number of response (R) per record, so as tominimize short and long records. With this “R‐Optimized” administration; very few cardsgenerate less than two responses, so that short CS administrations with multiple occurrences ofone response per card were eliminated from the normative dataset. This elimination,principally of short records, left 640 of the original 1396 records. In addition, the maximumnumber of responses per card is four, so that all additional responses to any card were deletedfrom the dataset. This resultant statistically modeled sample is very similar to the distributionsof R obtained when using R‐Optimized administration. Accordingly, the current R‐PAS normswere collected with CS administration, so that R‐PAS temporarily is relying on statistically