Comparison of described empathic and nominated empathic individuals

A composite profile of "empathic individuals" was developed from adjectives checked on Gough and Heilbrun's Adjective Check List by 43 undergraduate students enrolled in a course on counseling. Individuals were nominated as empathic by the students who also completed the checklist. The composite profile was consistent with the Rogerian definition of empathy and Factor 3 (Sociability) of the check list. The profiles for the nominated sample and for the students did not differ significantly on 36 of the 37 scales but both differed significantly from the composite profile on 34 scales.     

Detection of noisy visual targets: Models for the effects of spatial uncertainty and signal-to-noise ratio

Brigham and Women’s Hospital, Boston, Massachusetts 02115 An “extreme-detector” model for detecting spatially uncertain targets in noisy backgrounds predicts how both detection and localization abilities are degraded by increasing the number of possible target locations. Experiments 1 and 2 show that the model accurately predicts detection and localization performance in tasks with two, four, and eight locations from d’ estimates of the observer’s ability to detect the target in a known spatial location. These predictions can be linked to the physical stimuli by combining the extreme-detector model with a “psychophysical” model that specifies how stimulus measures determine the target’s detectability in a given location. Single-parameter fits of four such combined models were compared with estimates of detection and localization performance in Experiment 3, which manipulated the target’s physical signal-to-noise ratio across various conditions of an eightlocation task.     

Reduction in clinical assessment time using computer algorithms

A new mathematical procedure (BIDALGO) is suggested for application to the psychological testing field. BIDALGO, similar to past adaptive testing methods, is compared both with MMPI short-form efforts and applications in the educational testing literature. A comparison is also made between linear regression models used in past efforts and the Bayesian decision models used in BIDALGO. The requirements for an MMPI application are delineated, emphasizing branching procedures for specific scales and difficulties expected in achieving code-type congruence. Work in progress of applying BIDALGO to the depression scale and the full MMPI is also described.     

Fully automated psychiatric diagnosis: Some new possibilities

A fully automated psychiatric diagnostic system is outlined that would rely on picture-preference items rather than verbal ones and that would involve a tailored approach rather than conventional “brute-strength” testing. The conditions under which such a system can diagnose patients in a way that might arouse their interest and cooperation are discussed. These include a set of diagnostic categories (perhaps a subset from DSM-III), availability of a single-frame video disk unit allowing random access to each frame, a microprocessor system with a memory capacity of about 32,000 bytes, known base rates of the population of interest, and known probabilities of a particular response to the items for each diagnostic category. Some futuristic extensions of the proposed system are suggested.     

The relation between gap discrimination and auditory stream segregation

Gap discrimination and stream segregation were examined using sequences of 2, 4, 8, or 16 tones. The frequency differences between tones ranged from 1/24 to 2 1/2 octaves. Judgments of stream segregation show large intersubject variability, whereas gap thresholds are comparatively stable. Gap thresholds and streaming judgments are both affected by the frequency separation between tones. However, only streaming judgments are affected by presentation rate. Gap-threshold functions show no discontinuities or plateaus with increasing frequency differences and faster presentation rates. These results suggest that stream segregation is not a primary factor limiting gap-discrimination performance in tonal sequences.     

Speech competence of children vulnerable to psychopathology

Verbal productivity and cohesion and reference patterns of children of schizophrenics (N=23), unipolars (N=43), bipolars (N=38), and normals (N=53) were assessed using the Rochester and Martin (1979) evaluation system. Children of all offspring groups could be discriminated from one another, with children of schizophrenics showing the most deviant speech performance across all dependent measures. Children of schizophrenics were less verbally productive and had poorer patterns of cohesion between ideas than children of normals. In addition, they produced more unclear and ambiguous references to previously mentioned ideas than did children of normals. The consistency of deviance and performance on specific dependent variables in these children at risk for schizophrenia was similar to the speech performance of thought-disordered schizophrenics. Possible explanations for these similarities were discussed and evaluated.This research was supported by grant number MH21145 from the National Institute of Mental Health and by funds from the William T. Grant Foundation. The authors would like to thank Lina Jandorf for her invaluable assistance in data collection and scoring.     

Changes in Moods and Activation Levels During the Menstrual Cycle in Experimentally Naive Subjects

Two experiments providing additional validity data on the Profile of Mood States and the Thayer Activation-Deactivation Adjective Check List were per-formed. In the third and main experiment, seven normally menstruating women filled out both questionnaires at the same time every day for 90 days. They were not aware that they were participating in a study of menstruation. Analysis of the time series records of individual women revealed relatively few significant fluctuations in moods and activation levels. Analysis of the group data showed that Fatigue, Confusion, Deactivation/Sleep, and Depression/Dejection were significantly lower in the premenstrual phase than in the periovulatory phase of the cycle, while General Activation was higher. Anger/Hostility and Confusion were both lower in the menstrual phase than in the periovulatory phase. On a retrospective menstrual distress questionnaire, these same subjects say that they experience increases in anxiety, irritability, depression, and tension in the premenstrual phase of the cycle. The differences between individual and group data and the apparent discrepancy between daily self-reports and retrospective questionnaires are discussed.     

Attribution bias: On the inconclusiveness of the cognition-motivation debate

Social psychologists have given considerable theoretical and research attention to whether motivational variables bias the attributions people make for behavior. Some theorists maintain that motivational constructs must be invoked to explain certain attributional phenomena; other theorists maintain that information-processing variables can adequately explain these phenomena. The present article critically examines existing cognitive and motivational approaches to attribution and analyzes the assumptions underlying the cognition-motivation debate. We argue that cognitive and motivational theories are currently empirically indistinguishable. In particular, its is possible to construct information-processing explanations for virtually all evidence for motivated bias. We conclude by examining the implications of this indeterminacy of cognitive and motivational explanations. Future research in the area can most profitably be addressed to improving the specificity of cognitive and motivational theories rather than to resolving the between-theory confrontation.