Predicting the paths of peripherals: the interaction of identification and future possibilities

Two studies investigated how both degree of identification and the individual's position within the group influence aspects of group loyalty. The authors considered ingroup position in terms of both the individual's current position within a group and expectations concerning the likelihood that one's position might change in the future. Peripheral group members learned that their acceptance by other group members would improve in the future or that they could expect rejection by other group members. Various indices of group loyalty (ingroup homogeneity, motivation to work for the group, and evaluation of a motivated group member) showed that when group members anticipated future rejection, the lower the identification the less loyal they were. In contrast, those who expected future acceptance were more loyal (more motivated to work for the group) the lower their identification. Current group behavior depends on both intragroup future expectations and level of identification.     

An analysis of streaky performance on the LPGA Tour

A study investigated the occurrence of streakiness among professional golfers on the LPGA Tour. For players, individually or as a group, the findings showed a significant tendency for players' par or better rounds to occur together and for players' above par rounds to occur together. However, the observed streakiness in players' scores was related to the difficulty of golf courses rather than to any inherent disposition of players' performances to be streaky. The results replicated those findings found on the PGA Tour and Senior PGA Tour.     

Selective inhibition in children with attention-deficit hyperactivity disorder off and on stimulant medication

Selective inhibition requires discrimination between auditory signals and is assessed using a modification of the stop-signal task. Selective inhibition was assessed in a group of 59 clinic-referred, DSM-IV-diagnosed children with attention-deficit hyperactivity disorder (ADHD) and compared to that of a community sample of 59 children. Methylphenidate (MPH) effects on selective inhibition were assessed in a subset of the ADHD sample that participated in an acute, randomized, placebo-controlled, crossover trial with 3 fixed doses of MPH. Children with ADHD performed more poorly than controls on the majority of selective stop-signal task parameters: they exhibited more anticipatory (invalid) responses, with less accurate and more variable responses on the response execution task, as well as a slower selective inhibition process. MPH improved speed of both inhibition and response execution processes; it also reduced variability of response execution and decreased nonselective inhibition. On the one hand, findings are consistent with purported inhibition deficit in ADHD, but on the other hand, suggest that neither the impairment itself, nor MPH effects, were restricted to inhibition.     

Reducing the influence of extrapersonal associations on the Implicit Association Test: personalizing the IAT

The authors argue that the Implicit Association Test (IAT; A.G. Greenwald, D.E. McGhee, & J.L.K. Schwartz, 1998) can be contaminated by associations that do not contribute to one's evaluation of an attitude object and thus do not become activated when one encounters the object but that are nevertheless available in memory. The authors propose a variant of the IAT that reduces the contamination of these "extrapersonal associations." Consistent with the notion that the traditional version of the IAT is affected by society's negative portrayal of minority groups, the "personalized" IAT revealed relatively less racial prejudice among Whites in Experiments 1 and 2. In Experiments 3 and 4, the personalized IAT correlated more strongly with explicit measures of attitudes and behavioral intentions than did the traditional IAT. The feasibility of disentangling personal and extrapersonal associations is discussed.     

Willingness to Recommend: Does Workplace Incivility Actually Play a Role?

Journal of Business and Psychology - To prevent workplace incivility, scholars encourage organizations to use reference checks to help eliminate uncivil applicants. However, under certain...     

Collective aspirations: collective regulatory focus as a mediator between transformational and transactional leadership and team creativity

Journal of Business and Psychology - This paper examines the mediating role of two emergent team states—collective regulatory focus (CRF) and team initiative—for transmitting the...     

Daily Parent-Adolescent Digital Exchanges

Research on Child and Adolescent Psychopathology - The present study tracked adolescents via mobile phones to describe how parents and their adolescent children are using digital technologies in...     

Distress Tolerance as a Mechanism Linking Violence Exposure to Problematic Alcohol use in Adolescence

Research on Child and Adolescent Psychopathology - Adolescents exposed to violence are at elevated risk of developing most forms of psychopathology, including depression, anxiety, and alcohol...     

Similarity Judgment Within and Across Categories: A Comprehensive Model Comparison

Similarity is one of the most important relations humans perceive, arguably subserving category learning and categorization, generalization and discrimination, judgment and decision making, and other cognitive functions. Researchers have proposed a wide range of representations and metrics that could be at play in similarity judgment, yet have not comprehensively compared the power of these representations and metrics for predicting similarity within and across different semantic categories. We performed such a comparison by pairing nine prominent vector semantic representations with seven established similarity metrics that could operate on these representations, as well as supervised methods for dimensional weighting in the similarity function. This approach yields a factorial model structure with 126 distinct representation-metric pairs, which we tested on a novel dataset of similarity judgments between pairs of cohyponymic words in eight categories. We found that cosine similarity and Pearson correlation were the overall best performing unweighted similarity functions, and that word vectors derived from free association norms often outperformed word vectors derived from text (including those specialized for similarity). Importantly, models that used human similarity judgments to learn category-specific weights on dimensions yielded substantially better predictions than all unweighted approaches across all types of similarity functions and representations, although dimension weights did not generalize well across semantic categories, suggesting strong category context effects in similarity judgment. We discuss implications of these results for cognitive modeling and natural language processing, as well as for theories of the representations and metrics involved in similarity.