How affective states, task difficulty, and self-concepts influence the formation and consequences of performance expectancies

Positive versus negative affective states are associated with the use of broad versus specific knowledge structures. We predicted that specific self-concepts and task difficulty would affect performance expectancies only for individuals in a negative mood; for individuals in a positive mood, only the general self-concept, but not task difficulty, would affect performance expectancies. In an experiment, we manipulated task difficulty and mood, and we assessed self-concepts, performance expectancies, and task performance. The expected interactions for the formation of performance expectancies (mood × general self-concept, mood × specific self-concept, mood × difficulty) were found. Concerning the consequences of performance expectancies, we predicted that expectancies would affect actual performance only if the task was difficult and if task difficulty was taken into account when the expectancy is generated. This hypothesis was supported: The relationship between performance expectancies and actual performance was significant only for difficult tasks and given negative mood.     

Referential competence is associated with motivational congruence

[Schultheiss, 2001] and [Schultheiss, 2008] hypothesized that referential competence (RC) - stable individual differences in the ability to quickly name nonverbally represented information - should predict congruence between implicit and explicit motives. We tested this hypothesis using a color-naming task to assess RC, picture-story measures of implicit motives, and self-report measures of participants’ motivational values and goals. Study 1 showed that the RC measure captures a stable individual difference by test-retest and internal consistency criteria. Studies 2 and 3 provided correlational evidence for the hypothesized association between RC and measures of between- and within-individual motivational congruence. Study 4 showed that in the absence of situationally induced referential processing, RC predicts preferences for motive-congruent goals.     

Affective mediators of intergroup contact: a three-wave longitudinal study in South Africa

Intergroup contact (especially cross-group friendship) is firmly established as a powerful strategy for combating group-based prejudice (Pettigrew & Tropp, 2006). Great advances have been made in understanding how contact reduces prejudice (Brown & Hewstone, 2005), highlighting the importance of affective mediators (Pettigrew & Tropp, 2008). The present study, a 3-wave longitudinal study undertaken among minority-status Colored high school children in South Africa (N = 465), explored the full mediation of the effects of cross-group friendships on positive outgroup attitudes, perceived outgroup variability, and negative action tendencies via positive (affective empathy) and negative (intergroup anxiety) affective mediators simultaneously. The target group was the majority-status White South African outgroup. As predicted, a bidirectional model described the relationship between contact, mediators, and prejudice significantly better over time than either autoregressive or unidirectional longitudinal models. However, full longitudinal mediation was only found in the direction from Time 1 contact to Time 3 prejudice (via Time 2 mediators), supporting the underlying tenet of the contact hypothesis. Specifically, cross-group friendships were positively associated with positive outgroup attitudes (via affective empathy) and perceived outgroup variability (via intergroup anxiety and affective empathy) and were negatively associated with negative action tendencies (via affective empathy). Following Pettigrew and Tropp (2008), we compared two alternative hypotheses regarding the relationship between intergroup anxiety and affective empathy over time. Time 1 intergroup anxiety was indirectly negatively associated with Time 3 affective empathy, via Time 2 cross-group friendships. We discuss the theoretical and empirical contributions of this study and make suggestions for future research.     

Causal Attributions Predict Willingness to Support the Allocation of Funding to Lung Cancer Treatment Programs

Lung cancer patients may experience stigmatization as a result of the link between their disease and smoking, such as lack of public support for funding lung cancer treatment programs. This study examines whether causal attributions for the contraction of lung cancer predict the stigmatization of individuals with the disease by investigating willingness to support the allocation of funds to hypothetical lung cancer treatment programs. Participants were 766 undergraduate students. The findings indicate that participants who made causal attributions preferred to support the allocation of funding to programs that value the lives of breast cancer patients, rather than lung cancer patients. These findings have implications for understanding the influence of causal attributions on the stigmatization of lung cancer.     

A tutorial on hierarchically structured constructs

Many psychological constructs are conceived to be hierarchically structured and thus to operate at various levels of generality. Alternative confirmatory factor analytic (CFA) models can be used to study various aspects of this proposition: (a) The one-factor model focuses on the top of the hierarchy and contains only a general construct, (b) the first-order factor model focuses on the intermediate level of the hierarchy and contains only specific constructs, and both (c) the higher order factor model and (d) the nested-factor model consider the hierarchy in its entirety and contain both general and specific constructs (e.g., bifactor model). This tutorial considers these CFA models in depth, addressing their psychometric properties, interpretation of general and specific constructs, and implications for model-based score reliabilities. The authors illustrate their arguments with normative data obtained for the Wechsler Adult Intelligence Scale and conclude with recommendations on which CFA model is most appropriate for which research and diagnostic purposes.     

Development of big five domains and facets in adulthood: mean-level age trends and broadly versus narrowly acting mechanisms

Data from a cross‐sectional sample (N = 601 men and women) and a longitudinal sample (N = 125 women) were used to test hypotheses about the development of Big Five domains and facets from early adulthood through middle age. Analyses of mean‐level age trends indicated that overall Agreeableness and Conscientiousness increased with age and that several facets showed distinctive trends that replicated across the samples. Cross‐sectional analyses of trait intercorrelations and covariances indicated that interrelations between the Big Five domains, and between their more specific facets, were quite similar at older versus younger ages. Finally, longitudinal analyses of individual‐level changes indicated that (a) different people's personalities changed in markedly different ways; (b) these changes were predominantly independent, rather than correlated, across Big Five domains; and (c) the pattern of change correlations between Big Five facets could be explained by the facets’ interrelations at the first assessment time. Taken together, these results suggest that a complete understanding of personality development requires consideration of facet‐level traits and that adult personality development is predominantly influenced by narrowly acting mechanisms that each affect a single Big Five domain, or a small cluster of related facets, rather than by broadly acting mechanisms that simultaneously affect previously independent traits.     

Opposition to Antiracism Laws Across Swiss Municipalities: A Multilevel Analysis

Public opposition to antiracism laws—an expression of prejudice toward immigrants—is widespread in Switzerland as well as in other European countries. Using data from the European Social Survey 2002 (N = 1,711), the present study examined across Swiss municipalities individual and contextual predictors of opposition to such laws and of two well‐established antecedents of prejudice: perceived threat and intergroup contact. The study extends multilevel research on immigration attitudes by investigating the role of the ideological climate prevailing in municipalities (conservative vs. progressive), in addition to structural features of municipalities. Controlling for individual‐level determinants, stronger opposition to antiracism laws was found in more conservative municipalities, while the proportion of immigrants was positively related to intergroup contact. Furthermore, in conservative municipalities with a low proportion of immigrants, fewer intergroup contacts were reported. In line with prior research, intergroup contact decreased prejudiced policy stances through a reduction of perceived threat. Overall, this study highlights the need to include normative and ideological features of local contexts in the analysis of public reactions toward immigrants.     

The end-state comfort effect facilitates joint action

Motor experts can accurately predict the future actions of others by observing their movements. This report describes three experiments that investigate such predictions in everyday object manipulations and test whether these predictions facilitate responses to the actions of others. Observing video excerpts showing an actor reaching for a vertically mounted dial, participants in Experiment 1 needed to predict how the actor would rotate it. Their predictions were specific to the direction and extent of the dial rotation and improved proportionate to the length of the video clip shown. Testing whether such predictions facilitate responses, in the subsequent experiments responders had to undo an actor's actions, back-rotating a dial (Exp 2) and a bar (Exp 3). The responders' actions were initiated faster when the actors' movements obeyed the so-called end-state comfort principle than when they did not. Our experiments show that humans exploit the end-state comfort effect to tweak their predictions of the future actions of others. The results moreover suggest that the precision of these predictions is mediated by perceptual learning rather than by motor simulation.