Gregory J. Meyer, Donald J. Viglione, Joni L. Mihura, Robert E. Erard, and Philip
Erdberg
NOTE:听We finalized our R-PAS administration, coding, interpretation, and technical manual
in early September 2011. Details about us, the manual, and the scoring program can
be found at听. The information posted below is outdated. However, we are leaving this page up for
the time being because it provides our recommendations for current Rorschach users
who have yet to adopt R-PAS.
The first two links below provide slides from a progress report on our efforts to
develop R-PAS that was given at the Society for Personality Assessment Convention
in San Jose (March 24-28, 2010). The slides do not convey the full scope of our efforts,
but do give an idea of what we are doing with the new system.
Many people asked what we recommended for enhanced clinical practice while R-PAS was
still under development. Our response was simple and it involved three recommendations.
We believe these recommendations are still optimal for clinicians who have not yet
begun using R-PAS.
First, we recommend that clinicians use the aggregated reference data published in
the 2007 JPA Supplement on听International Reference Samples for the Rorschach Comprehensive System. This project is described in the slides and if you do not already have access to
this journal a copy of the supplement can be purchased from Taylor and Francis for
USD $30 (). We believe inferences about functioning will be more accurate using these reference
data as a benchmark for what is normal or expected in nonpatients.
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Second, we recommend that clinicians focus their interpretation on the "Page 1" and
"Page 2" variables described in our Rationale document and avoid interpreting the
other variables. Based on our review of the validity literature, the collective input
of more than 200 experienced clinicians, and the conceptual foundation for each score,
we believe that clinical practice will be improved by focusing on a smaller but stronger
subset of variables.
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As described in the slides, we also believe that a modified administration procedure
to optimize the number of responses is a useful change. This procedure makes the mean
values from existing reference data fit a larger number of people. As such, it helps
improve clinical inferences. This R-Optimized administration procedure is described
using summary guidelines for administration that are drawn from the R-PAS manual.
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Downloads
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