Interpersonal Sensitivity: Theory and Measurement

By Judith A. Hall; Frank J. Bernieri | Go to book overview

APPENDIX

Computational details of the analyses methods for the 1P1T and MPMT designs are presented using small data sets to enhance comprehension of the strategies outlined in this chapter. We consider both the idiographic and nomothetic analysis. For each of these analyses, we demonstrate the partitioning of both the judgment and criterion measures into components. The interested researcher can reproduce our results by following the sets of computational steps outlined in the following pages using the raw data that is provided.


1P1T Design

There are 10 judges each rating a different target on 10 measures. Table 14.1A presents the 10 × 10 matrix of judgments. Self-ratings made by the target on the 10 measures serve as the criterion. Table 14.2A presents these self-ratings. The raw data are extracted from a larger data set (Winquist, 1999). Ratings were all made on a nine-point scale.

Nomothetic Analysis. The unit of analysis is dyad, and the correlation is computed between the judgment and the criterion for each measure. When we do this, we obtain correlations of -.156, -.336,.213, -.094, -.472, -.073,.299,.133, -.368, and.231. To pool these correlations, we use structural equa

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