Relationships between Rorschach variables as relevant to the interpretation of structural data.
The protocols of 100 adult nonpatients who had been administered the Rorschach twice in a long term temporal consistency study were used in this study. Separate intercorrelational matrices were calculated for each testing with R partialed. Means of the pairs of partial correlations were calculated, the square root of which is considered the best available estimate of the correlation between each pair of variables. Fifteen of the 120 partial correlations are considered to be significant. The findings are discussed in terms of their potential relevance for configurational interpretation of structural data.
Exner
J E
JE
Rorschach Workshops, Bayville, NY 11709, USA.
Viglione
D J
DJ
Gillespie
R
R