A five-year follow-up on the temporal stability of the Ego Impairment Index

This study investigated the temporal stability of the Ego Impairment Index (EII) over a 5-year period. The EII is based on the Comprehensive System (Exner, 1993) and has shown promise as a measure of internal disturbance and psychopathology (Perry & Braff, 1994; Perry & Viglione, 1991; Perry, Viglione, & Braff, 1992). This study successfully recalled 17 subjects from an original sample of 46 who initially suffered from Major Depression, Melancholic-Type 5 years earlier and were treated with antidepressant medication. These subjects did not differ significantly from those Subjects who were not successfully recalled. The Rorschach and a variety of other measures were administered to the subjects. The results revealed impressive temporal consistency over 5 years: a rank-order, test-retest correlation of .68. The EII was also correlated with some of the measures of overall adaptation. These results are consistent with the notion that the EII is a stable trait-measure of psychopathology. Limitations because of the small subgroup of subjects, although not unusual in longitudinal research, are noted.     

General estimators for the reliability of qualitative data

We study a proportional reduction in loss (PRL) measure for the reliability of categorical data and consider the general case in which each ofN judges assigns a subject to one ofK categories. This measure has been shown to be equivalent to a measure proposed by Perreault and Leigh for a special case when there are two equally competent judges, and the correct category has a uniform prior distribution. We consider a general framework where the correct category is assumed to have an arbitrary prior distribution, and where classification probabilities vary by correct category, judge, and category of classification. In this setting, we consider PRL reliability measures based on two estimators of the correct category—the empirical Bayes estimator and an estimator based on the judges' consensus choice. We also discuss four important special cases of the general model and study several types of lower bounds for PRL reliability.Bruce Cooil is Associate Professor of Statistics, and Roland T. Rust is Professor and area head for Marketing, Owen Graduate School of Management, Vanderbilt University. The authors thank three anonymous reviewers and an Associate Editor for their helpful comments and suggestions. This work was supported in part by the Dean's Fund for Faculty Research of the Owen Graduate School of Management, Vanderbilt University.     

Forensic evaluations in immigration cases: Evolving issues

To date little attention has been paid to forensic mental health assessments in immigration cases. This article briefly reviews the law relevant to assessments in these cases, and then examines some of the individual, family, community and cultural issues that impact upon forensic evaluations in immigration cases.     

Multidimensional scaling of form: A psychophysical analysis

Both metric and nonmetric multidimensional scaling methods were used to analyze similarity estimates when random polygons were used as stimulus patterns. Three dimensions, dispersion, jaggedness, and elongation were obtained with both analyses and were related to physical measures of the patterns.     

Judgment stability and pseudorecognition of random and patterned configurations

Thirty six simple patterns were judged as “random” or “patterned” by adult Ss. Category judgments were consistent whether Ss were told that 1/4, 1/2, or 3/4 of the patterns were random or if no proportion was specified. In a second experiment, Ss viewed a series of slides previously judged patterned followed by a recognition series with two additional patterned slides inserted in a series of otherwise random slides. Although slides were never labeled random or patterned, Ss made the most false recognitions for the two patterned slides. In another condition where random and patterned slides were reversed, most false recognitions were made for the two random slides. Both Gamer’s notion of hypothetical set size and an analysis of balanced elements fit the results, but the adequacy of both hypotheses can be questioned when applied to previous results with more complex patterns.     

Adaptive rating scales in sequential decisions

The benefits gained in decision research through the use of computer-controlled procedures, as opposed to the use of traditional pencil-and-paper techniques, can exceed the expected gains of efficiency and standardization. Computers extend the scope of a sequential decision making paradigm by enhancing (1) the strength of experimental design, (2) reliability of measurement, (3) procedural flexibility, and (4) single-subject data analysis. Data are reported that indicate the necessity of using computers to obtain reliable measurements and valid results for this type of decision research.