Examining the Relations Among Narcissism, Impulsivity, and Self-Defeating Behaviors

ABSTRACT A recent meta-analysis ( S. Vazire & D. C. Funder, 2006 ) suggested that narcissism and impulsivity are related and that impulsivity partially accounts for the relation between narcissism and self-defeating behaviors (SDB). This research examines these hypotheses in two studies and tests a competing hypothesis that Extraversion and Agreeableness account for this relation. In Study 1 , we examined the relations among narcissism, impulsivity, and aggression. Both narcissism and impulsivity predicted aggression, but impulsivity did not mediate the narcissism–aggression relation. In Study 2 , narcissism was related to a measure of SDB and manifested divergent relations with a range of impulsivity traits from three measures. None of the impulsivity models accounted for the narcissism–SDB relation, although there were unique mediating paths for traits related to sensation and fun seeking. The domains of Extraversion and low Agreeableness successfully mediated the entire narcissism–SDB relation. We address the discrepancy between the current and meta-analytic findings.     

Three ideal observer models for rule learning in simple languages

Children learning the inflections of their native language show the ability to generalize beyond the perceptual particulars of the examples they are exposed to. The phenomenon of “rule learning”—quick learning of abstract regularities from exposure to a limited set of stimuli—has become an important model system for understanding generalization in infancy. Experiments with adults and children have revealed differences in performance across domains and types of rules. To understand the representational and inferential assumptions necessary to capture this broad set of results, we introduce three ideal observer models for rule learning. Each model builds on the next, allowing us to test the consequences of individual assumptions. Model 1 learns a single rule, Model 2 learns a single rule from noisy input, and Model 3 learns multiple rules from noisy input. These models capture a wide range of experimental results—including several that have been used to argue for domain-specificity or limits on the kinds of generalizations learners can make—suggesting that these ideal observers may be a useful baseline for future work on rule learning.     

Unraveling the race paradox of achievement and self-views

Considerable evidence indicates that African American students achieve less academically than European American students. Yet, African American students hold more positive self-views than their European American counterparts. Previous studies that address these seemingly paradoxical findings focus on students in a relatively narrow age range and/or convenience samples. Therefore, the current study examines two common explanations for these seemingly paradoxical findings, among a large and diverse sample of African American and European American students (N = 1, 493) from elementary to post-secondary school and across the socioeconomic spectrum. Results indicate that among a diverse group of students and conceptualized in two different ways, African American students do not devalue academics. However, African American students are more likely than European American students to discount academic feedback.     

Rater Personality and Performance Dimension Weighting in Making Overall Performance Judgments

Purpose  

The present study examined the effects of rater personality on the performance appraisal process. Specifically, we determined the relative weights that raters place on different performance dimensions when making overall performance evaluations, and examined whether rater personality influenced this weighting process. The literatures on social/political values and mate/friend selection were used as guiding frameworks in developing specific hypotheses.     

Modeling human performance in statistical word segmentation

The ability to discover groupings in continuous stimuli on the basis of distributional information is present across species and across perceptual modalities. We investigate the nature of the computations underlying this ability using statistical word segmentation experiments in which we vary the length of sentences, the amount of exposure, and the number of words in the languages being learned. Although the results are intuitive from the perspective of a language learner (longer sentences, less training, and a larger language all make learning more difficult), standard computational proposals fail to capture several of these results. We describe how probabilistic models of segmentation can be modified to take into account some notion of memory or resource limitations in order to provide a closer match to human performance.     

The effects of post-encoding stress on recognition memory: examining the impact of skydiving in young men and women

Prior studies have indicated that post-encoding stress can protect memories from the effects of forgetting, and this has been taken as evidence that stress facilitates memory consolidation. However, it is not known whether stress acts by directly influencing the strength of the underlying memories or whether it influences the generation process that plays a critical role in tests such as free recall. To address this issue, we examined the effects of stress produced by skydiving on recognition memory for negative and neutral pictures. Relative to a non-stress control condition, post-encoding stress in males was found to increase recognition memory for neutral pictures. However, stress was not found to improve recognition for emotional pictures, nor was it found to influence recognition memory in female participants. Additional analysis of recognition performance suggested that stress increased familiarity-based recognition rather than recollection. This study indicates that stress can improve familiarity-based recognition, thus showing that stress directly increases the strength of the underlying memories.     

What are the cognitive costs of racism? A reply to Gendler

Tamar Gendler argues that, for those living in a society in which race is a salient sociological feature, it is impossible to be fully rational: members of such a society must either fail to encode relevant information containing race, or suffer epistemic costs by being implicitly racist. However, I argue that, although Gendler calls attention to a pitfall worthy of study, she fails to conclusively demonstrate that there are epistemic (or cognitive) costs of being racist. Gendler offers three supporting phenomena. First, implicit racists expend cognitive energy repressing their implicit biases. I reply, citing Ellen Bialystok’s research, that constant use of executive functioning can be beneficial. Second, Gendler argues that awareness of a negative stereotype of one’s own race with regard to a given task negatively affects one’s performance of that task. This phenomenon, I argue, demonstrates that those against whom the stigma is directed suffer costs, but it fails to demonstrate that the stigmatizers suffer cognitively. Finally, Gendler argues that racists are less competent when recognizing faces of other races than when recognizing faces of their own race because, in the first instance, they encode the race of the face (taking up cognitive space that could have been used to encode fine-grained distinctions), whereas in the second instance they encode no race. I argue that in-group/out-group categorization rather than racism is the cognitive cost. I conclude that Gendler has failed to demonstrate that there are cognitive costs associated with being a racist.     

Resolving the theory of planned behaviour's ‘expectancy-value muddle’ using dimensional salience

The theory of planned behaviour is one of the most widely used models of decision-making in the health literature. Unfortunately, the primary method for assessing the theory's belief-based expectancy-value models results in statistically uninterpretable findings, giving rise to what has become known as the ‘expectancy-value muddle’. Moreover, existing methods for resolving this muddle are associated with various conceptual or practical limitations. This study addresses these issues by identifying and evaluating a parsimonious method for resolving the expectancy-value muddle. Three hundred and nine Australian residents aged 18–24 years rated the expectancy and value of 18 beliefs about posthumous organ donation. Participants also nominated their five most salient beliefs using a dimensional salience approach. Salient beliefs were perceived as being more likely to eventuate than non-salient beliefs, indicating that salient beliefs could be used to signify the expectancy component. The expectancy-value term was therefore represented by summing the value ratings of salient beliefs, an approach that predicted attitude (adjusted R ²?=?0.21) and intention (adjusted R ²?=?0.21). These findings suggest that the dimensional salience approach is a useful method for overcoming the expectancy-value muddle in applied research settings.