Individual differences and cheating behavior: Guilt and cheating in competitive situations

To examine whether guilt would inhibit immoral behavior, subjects were differentiated on their feelings of anticipatory (AG) and posttransgressional (PTG) guilt and subsequently placed in an anagram task shown to induce a high level of cheating. Results indicated that neither pre- nor post-test AG was related to cheating behavior, and test-retest administration indicated that the AG scale was unreliable. The PTG scale, however, was found to be a temporally reliable measure of guilt. In order to assess the relative contributions of pre-test posttransgressional guilt, the ability to persist, and gender to cheating behavior, a saturated multiple regression model of centered predictor effects and interaction terms was constructed. Results revealed a significant gender × persistence interaction. The cheating behavior of males was not significantly influenced by the ability to persist. On the other hand, females who exhibited a strong ability to persist rarely cheated, while those who were unable to persist cheated a great deal. Finally, subjects who felt the most posttransgressional guilt cheated more frequently. These findings provide additional evidence that guilt may be positively related to cheating behavior.     

Construction and validation of the Gender Attitude Inventory,a structured inventory to assess multiple dimensions of gender attitudes

Three studies describe the development and initial validation of the Gender Attitude Inventory (GAI), a structured inventory that assesses attitudes toward the multiple objects that organize college students' thoughts and feelings about sex and gender. An intergroup relations perspective was used to specify the universe of gender-related targets and to construct a preliminary instrument. Factor analyses of the results of two sequential studies yielded a 109-item inventory with 14 content-specific attitude areas and three second-order factors. In Study 3 GAI scales were shown to have acceptable internal consistency and temporal stability, as well as convergent and discriminant validity. In terms of race/ethnicity, most respondents were white (ranging from 69% to 82% across the three studies).     

Time,change, and motion: The effects of stimulus movement on temporal perception

The effects of stimulus motion on time perception were examined in five experiments. Subjects judged the durations (6–18 sec) of a series of computer-generated visual displays comprised of varying numbers of simple geometrical forms. In Experiment 1, subjects reproduced the duration of displays consisting of stationary or moving (at 20 cm/sec) stimulus figures. In Experiment 2, subjects reproduced the durations of stimuli that were either stationary, moving slowly (at 10 cm/sec), or moving fast (at 30 cm/sec). In Experiment 3, subjects used the production method to generate specified durations for stationary, slow, and fast displays. In Experiments 4 and 5, subjects reproduced the duration of stimuli that moved at speeds ranging from 0 to 45 cm/sec. Each experiment showed that stimulus motion lengthened perceived time. In general, faster speeds lengthened perceived time to a greater degree than slower speeds. Varying the number of stimuli appearing in the displays had only limited effects on time judgments. Other findings indicated that shorter intervals tended to be overestimated and longer intervals underestimated (Vierordt’s law), an effect which applied to both stationary and moving stimuli. The results support a change model of perceived time, which maintains that intervals associated with more changes are perceived to be longer than intervals with fewer changes.     

A follow up study of a behavioral program for young people with learning disabilities and challenging behavior

This paper describes a pilot follow-up study of a behavioral program for 20 young people with learning disabilities and challenging behavior. Eighteen participants made good overall improvement during the treatment period, and this was partially maintained at follow-up. Eight had continued to improve, eight had deteriorated slightly and four had deteriorated markedly. Adaptive skills were generally maintained. The reemergence of challenging behaviors explained the difference between the Good and Poor Outcome groups. Those participants in the Good Outcome group were younger on admission, scored lower on adaptive skills and higher on challenging behaviors. In addition they had remained on the treatment programme for 12–18 months and had been discharged from the Unit for longer. The overall level of independent living had increased from preadmission and the majority of participants were living in less restrictive placements. These results confirm and extend the findings of previous research. The paper concludes by highlighting the need for more detailed longitudinal follow-up studies in this area.     

Teaching the Rescorla-Wagner model using STELLA-II

Although the Rescorla-Wagner model is widely taught in learning courses, most textbooks present a simplified version that does not contain all of its parameters. On the basis of Rescorla and Wagner 1972) and the Turbo PASCAL program by Lachnit, Schneider, Lipp, and Kimme! (1988), we created a simulation using STELLA-II, an icon-based program by High Performance Systems, Inc. We argue that this simulation facilitates teaching the complete Rescorla-Wagner model. Using trans-switching (Kimmel & Ray, 1978; Lachnit, 1986; Murrin & Kimmel, 1986) as an example, we demonstrate the effectiveness of the STELLA-II version of the Rescorla-Wagner model as a heuristic tool.     

A reason for theoretical terms

The presence of nonobservational vocabulary is shown to be necessary for wide application of a conservative principle of theory revision.Support for this research was provided by the Office of Naval Research under contract No. N00014-87-K-0401. We thank Daniel Andler and Clark Glymour for helpful discussion.