Univariate selection: The effects of size of correlation,degree of skew,and degree of restriction

Pearson's formula for univariate selection was derived with the assumption of normality of variates before and after selection. This study examined the influence of skew upon estimates from Pearson's formula under certain conditions. It was found that even with essentially symmetric distributions, a large proportion of the data is necessary to obtain reasonably precise estimates of low correlations. With increasing skew, estimates become increasingly erroneous, the direction of the error depending upon which tail of the distribution is the basis of the estimates. Difficulties in applying correction for univariate selection in several studies of the predictability of college-grades for Negroes from scores on standard aptitude tests are discussed.     

IN-GROUP IDENTIFICATION AS A FUNCTION OF DEPERSONALIZATION, DISTINCTIVENESS, AND STATUS

Abstract— Artificial social categories were created in a laboratory context in order to test predictions regarding the relative importance of group size and status as determinants of in-group favoritism. Subjects were assigned to categories of "overestimator" or "underestimator" and were told that one category included a majority of college students while the other represented a minority. Prior to category assignment, half of the subjects had been given confidentiality instructions designed to make them feel highly depersonalized. Based on feedback about test performance, status differentials between the two estimation categories were introduced.
Consistent with predictions, there was a three-way interaction between depersonalization, in-group size, and in-group status as determinants of evaluative in-group bias on social trait ratings. Under control conditions (no depersonalization), group status and majority size both contributed to positive valuations of the in-group. Under the depersonalization condition, however, subjects valued minority group membership more than majority categorization, and the effect of status was eliminated.     

Comprehension and memory of the literal and figurative meaning of proverbs

Proverbs were used to examine recognition memory for four types of sentence information (figurative meaning, literal meaning, lexical information, syntactic information) with two levels of comprehension. Forced-choice recognition tasks showed that subjects were successful in remembering all four types of information. Recognition scores for the figurative meaning of unfamiliar proverbs presented in isolation were above chance and were also significantly improved when procedures were employed which encouraged comprehension of this level of meaning. The results are most consistent with theories of comprehension which provide for different types of processing for figurative and literal language.     

The Effects of Monitoring Individual and Group Performance on the Distribution of Effort Across Tasks1

This study was concerned with the mechanism(s) via which performance monitoring affects task performance. To investigate whether an individual's concerns over the evaluation of his or her performance underlie the effects of performance monitoring (independent of contingent consequences) on the distribution of effort across tasks, the study examined whether the way in which individuals performed two tasks was differentially affected by the way in which supervisors monitored performance on those tasks. Subjects working in a group setting performed two different tasks for 90 minutes, their instructions being to perform as well as possible on each task. When supervisors periodically monitored the work output of each individual within the group on one of the two tasks, subjects perceived that the supervisor was evaluating and comparing individual performance, and produced more on the monitored task at the expense of the unmonitored task. When, however, the supervisor's monitoring focused on group rather than individual products, subjects perceived that the supervisor was less likely to be able to evaluate and to compare individual performance, and their performance on the two tasks was the same, regardless of which task was monitored. Path analysis supported the interpretation that the effects of monitoring on performance were mediated by evaluation concerns associated with performance on each task.     

Psychological Applications in Clinical Sports Medicine: Current Status and Future Directions

This article describes the role of psychologists in clinical sports medicine. Following an overview of the specialty's professionals, settings, and modalities, opportunities for psychological intervention in the prevention and rehabilitation of sport injuries are examined. The current status of psychology in clinical sports medicine is discussed and recommendations for the future are provided. It is concluded that although the involvement of psychologists in clinical sports medicine is not currently extensive, there is reason to believe that psychological applications in the sports medicine arena will expand in the future.     

Why do doctored images distort memory?

Doctored images can cause people to believe in and remember experiences that never occurred, yet the underlying mechanism(s) responsible are not well understood. How does compelling false evidence distort autobiographical memory? Subjects were filmed observing and copying a Research Assistant performing simple actions, then they returned 2 days later for a memory test. Before taking the test, subjects viewed video-clips of simple actions, including actions that they neither observed nor performed earlier. We varied the format of the video-clips between-subjects to tap into the source-monitoring mechanisms responsible for the ‘doctored-evidence effect.’ The distribution of belief and memory distortions across conditions suggests that at least two mechanisms are involved: doctored images create an illusion of familiarity, and also enhance the perceived credibility of false suggestions. These findings offer insight into how external evidence influences source-monitoring.     

A discrete-time hazard model of hitting the wall in recreational marathon runners

ObjectiveRecent literature has begun to describe and identify predictors of hitting the wall among recreational marathon runners. Our purpose was to extend previous findings by exploring the relative probability of when runners of various risk profiles hit the wall and to describe the overall functional form of risk over the course of a marathon.MethodSurvival methods and discrete-time hazard modeling were used to model self-reported hitting the wall occurrence data among 324 recreational marathon runners from four Eastern Seaboard marathons.ResultsThe combinative effects of male gender, running 20 miles or less in training, and expectancy, showed the greatest probability of hitting the wall at any timepoint of the marathon. The shape of hitting the wall risk appeared to most closely fit a cubic form with a dramatic incline of risk peaking at mile 21 followed by a precipitous decline.ConclusionThese findings further clarify under what circumstances recreational marathon runners are most and least likely to hit the wall and contributes to the formation of a conceptual definition of the phenomenon.     

“Watch out!”: Effects of instructed threat and avoidance on human free‐operant approach–avoidance behavior

Approach–avoidance paradigms create a competition between appetitive and aversive contingencies and are widely used in nonhuman research on anxiety. Here, we examined how instructions about threat and avoidance impact control by competing contingencies over human approach–avoidance behavior. Additionally, Experiment 1 examined the effects of threat magnitude (money loss amount) and avoidance cost (fixed ratio requirements), whereas Experiment 2 examined the effects of threat information (available, unavailable and inaccurate) on approach–avoidance. During the task, approach responding was modeled by reinforcing responding with money on a FR schedule. By performing an observing response, participants produced an escalating “threat meter”. Instructions stated that the threat meter levels displayed the current probability of losing money, when in fact loss only occurred when the level reached the maximum. Instructions also stated pressing an avoidance button lowered the threat level. Overall, instructions produced cycles of approach and avoidance responding with transitions from approach to avoidance when threat was high and transitions back to approach after avoidance reduced threat. Experiment 1 revealed increasing avoidance cost, but not threat magnitude, shifted approach–avoidance transitions to higher threat levels and increased anxiety ratings, but did not influence the frequency of approach–avoidance cycles. Experiment 2 revealed when threat level information was available or absent earnings were high, but earnings decreased when inaccurate threat information was incompatible with contingencies. Our findings build on prior nonhuman and human approach–avoidance research by highlighting how instructed threat and avoidance can impact human AA behavior and self‐reported anxiety.