SELF-ASSESSED TRAINING NEEDS: THE EFFECTS OF ATTITUDES TOWARD TRAINING, MANAGERIAL LEVEL, AND FUNCTION

Self-assessment research has concentrated on validity and psychometric issues in selection and appraisal contexts. Little is known about factors that affect self-assessment of training needs. The present study examines the influence of managerial position (level, function) and managerial attitudes toward training utility on self-reported training needs. A training-needs survey consisting of items related to basic managerial, interpersonal, administrative, and quality control skills was completed by 506 lower and middle level managers across four functional areas. Correlational and regression analyses indicated that managerial level and function had some effect on reported administrative training needs, while function and attitudes towards training utility had some impact on self-reported training needs for quality control. Level, function, and attitude were not related to reported basic managerial and interpersonal training needs. The implications and limitations of the results are discussed, and future research directions are presented.     

Temporal pattern of agonist-antagonist EMG activity during rapid limb movements in man

Analysis of elbow-extension movements, executed at maximal velocity, show positive correlations of timing of agonist-antagonist EMG activity with both movement velocity and displacement. Results indirectly support the notion that the antagonist musculature provides a braking force to arrest rapid limb movements.     

Semantic Satiation,Aftereffects, and Recognition Memory for Positive,Negative, Neutral,and Mixed Lists of Words

The Psychological Record - By avoiding the confound between the physical and semantic properties of words, it was possible to demonstrate the effects and aftereffects of semantic satiation....     

Book Reviews

The Psychological Record -     

In search of the false-uniqueness phenomenon: fear and estimates of social consensus

An examination of the social perception literature yields little evidence for the false-uniqueness phenomenon (Valins & Nisbett, 1972), the perception that one's attributes are more unique than is the case. In contrast, the tendency for individuals to project their own characteristics onto other people and assume that more people are like themselves is a robust phenomenon. One reason researchers may not have found false uniqueness is that they have not looked at the accuracy of consensus estimates. A close look at the results of Tabachnik, Crocker, and Alloy (1983) and Sanders and Mullen (1983), who did assess accuracy, suggests that people possessing undesirable attributes over-estimate consensus, whereas people holding desirable attributes underestimate consensus. The latter pattern is a form of false uniqueness. In this study we looked at the accuracy of social consensus estimates in the context of psychological fears. A sample of subjects filled out an abbreviated version of a fear survey and made estimates of consensus. The results showed that both high- and low-fear respondents overestimated the incidence of high fear among their peers, but high-fear subjects were more inaccurate in their estimates. A false-uniqueness effect was found on the part of low-fear subjects, as they tended to underestimate the incidence of low fear among their peers. These findings are consistent with a motivational interpretation that emphasizes the individual's need to justify or normalize stigmatized behavior and to bolster perceived self-competence.     

A conditional approach to dispositional constructs: the local predictability of social behavior

A conditional approach to dispositions is developed in which dispositional constructs are viewed as clusters of if-then propositions. These propositions summarize contingencies between categories of conditions and categories of behavior rather than generalized response tendencies. A fundamental unit for investigating dispositions is therefore the conditional frequency of acts that are central to a given behavior category in circumscribed situations, not the overall frequency of behaviors. In an empirical application of the model, we examine how people's dispositional judgments are linked to extensive observations of targets' behavior in a range of natural social situations. We identify categories of these social situations in which targets' behavior may be best predicted from observers' dispositional judgements, focusing on the domains of aggression and withdrawal. One such category consists of subjectively demanding or stressful situations that tax people's performance competencies. As expected, children judged to be aggressive or withdrawn were variable across situations in dispositionally relevant behaviors, but they diverged into relatively predictable aggressive and withdrawn actions in situations that required the social, self-regulatory, and cognitive competencies they lacked. Implications of the conditional approach for personality assessment and person perception research are considered.     

Linking person and context in the daily stress process

In this study we combined daily diary data with interview data to investigate individual differences in the impact of stressful daily events on mood. Using a sample of 96 women in an urban community, we examined perceived neighborhood quality and major life events as possibly potentiating the effects of stressful daily events, and we viewed social supports as potentially buffering this daily process. Results confirmed that the presence of chronic ecologic stress (neighborhood perceptions) exacerbated the immediate effects of stressful daily events on mood and also increased the likelihood of enduring effects of daily stressors on next day's mood. Contrary to expectations, previous exposure to major life events decreased the impact of stressful daily events. The availability of social supports, although not buffering the impact of stressful daily events on mood, did mitigate the enduring effects of these events on next day's mood. This study also presents a method for analyzing daily time-series data, while correcting for potential problems of autocorrelated error terms. As such, this study represents a significant advance over previous analytic approaches to time-series data in the study of the stress process.