Métodos Projetivos e Avaliação Psicológica - BVS Psicologia ...

111Figure one Page 1 from the R‐PAS online output plotted with these international data.Many users consider it a notable advance that the variables are visually plotted against norms.One no longer has to remember that in that a four for human movement is about average. It isplotted here at the 58 th percentile which translates to a standard score of 103. As noted above,standard scores are the scores used for IQ scores and have a mean of 100 and a standarddeviation of 15. One of the goals of R‐PAS is to simplify, and plotting all scores on the samescale or metric simplifies. It identifies extreme or deviant scores which might serve toindividualize the person being evaluated, or in other words, identifies features which maydistinguish him or her from others. In this record, MOR is a deviant score and extreme score,with a total of MOR responses, at the 99 th percentile and standard score of 137. It is visuallydistinguished by its distance from the center line, and by being plotted with a black icon whoseinterior is more filled in than the less extreme scores.Excessive Variability in the Number of Responses per ProtocolResearch reveals that the number of responses is highly variable, more so than thatexpected using CS norms (Meyer et al, 2011; Meyer et al, 2007; Viglione & Hilsenroth, 2001;Viglione & Meyer, 2008). Also, many variables are correlated or associated with R (Viglione &Meyer, 2008), so that one does not always know the extent to which a high or low score isattributable to the records being long (high R) or short (low R). Thus, this variability in Rintroduces error, increases confidence intervals, and makes it is harder to demonstratedeviations from expected values. Scores are less precise, so interpretations cannot be asspecific, thus introducing error into interpretive process and reducing validity of the test atlarge.As presented in Table 1, the CS N of 600 non‐patient normative sample has a standarddeviation of 4.1, thus in the CS normative sample most records have 18 to 27 responses. In theearly 1970’s when addressing the problem with R in the Rorschach, Exner (1974) decided not torestrain R, because of a similarly small standard deviation, that is limited variability in R, in hisdatasets. However, other samples have consistently produced more variable distributions witha large proportion of short records. The international sample (Meyer et al., 2007; N = 4,704) has