Essentialist beliefs about personality and their implications

Two studies examine implicit theories about the nature of personality characteristics, asking whether they are understood as underlying essences. Consistent with the hypothesis, essentialist beliefs about personality formed a coherent and replicable set. Personality characteristics differed systematically in the extent to which they were judged to be discrete, biologically based, immutable, informative, consistent across situations, and deeply inherent within the person. In Study 1, the extent to which characteristics were essentialized was positively associated with their perceived desirability, prevalence, and emotionality. In Study 2, essentialized characteristics were judged to be particularly important for defining people's identity, for forming impressions of people, and for communicating about a third person. The findings indicate that people understand some personality attributes in an essentialist fashion, that these attributes are taken to be valued elements of a shared human nature, and that they are particularly central to social identity and judgment.     

The implicit structure of positive characteristics

The implicit structure of positive character traits was examined in two studies of 190 and 100 undergraduates. Participants judged the pairwise covariation or semantic similarity of 42 positive characteristics using a sorting or a rating task. Characteristics were drawn from a new classification of strengths and virtues, the Five-Factor Model, and a taxonomy of values. Participants showed consistent patterns of perceived association among the characteristics across the study conditions. Multidimensional scaling yielded three consistent dimensions underlying these judgments ("warmth vs. self-control," "vivacity vs. decency," and "wisdom vs. power"). Cluster analyses yielded six consistent groupings-"self-control," "love," "wisdom," "drive," "vivacity," and "collaboration"-that corresponded only moderately to the virtue classification. All three taxonomies were systematically related to this implicit structure, but none captured it satisfactorily on its own. Revisions to positive psychology's classification of strengths are proposed.     

The differential effect of realistic and unrealistic counterfactual thinking on regret

Research has established that realistic counterfactual thinking can determine the intensity and the content of people's affective reactions to decision outcomes and events. Not much is known, however, about the affective consequences of counterfactual thinking that is unrealistic (i.e., that does not correspond to the main causes of a negative outcome). In three experiments, we investigate the influence of realistic and unrealistic counterfactuals on experienced regret after negative outcomes. In Experiment 1, we found that participants who thought unrealistically about a poor outcome reported less regret than those who thought realistically about it. In Experiments 2a and 2b, we replicated this finding and we showed that the decrease in regret was associated with a shift in the causal attributions of the poor outcome. Participants who thought unrealistically attributed it more to external circumstances and less to their own behaviours than those who thought realistically about it. We discuss the implications of these findings for the role of counterfactuals as self-serving biases and the functionality of regret as a counterfactual emotion.     

Second to fourth digit ratio and numerical competence in children

The ratio between the 2nd and 4th fingers (2D:4D)-a potential proxy for prenatal testosterone (T) exposure-shows a sex difference, with males usually having lower mean values; the latter potentially indicates higher prenatal T exposure. We studied relations between 2D:4D and competencies in the domains of counting, number knowledge, and visual-number representation in 73 children aged 6-11 years. Significant negative correlations between numerical performance in all of these areas and right and left hand 2D:4D ratios were found for boys but not girls. To the extent that 2D:4D ratios reflects prenatal exposure to T, the implications are (i) high prenatal T may be associated with better performance on some basic numerical measures for boys, and (ii) prenatal exposure to T may affect boys and girls differently with respect to some numerical competencies.     

Distinctiveness models of memory and absolute identification: evidence for local, not global, effects

Many models of memory assume that the probability of remembering an item is related to how distinctive that item is relative to all the other items in the set, with no distinction made between the contributions of near or far items. These “global” distinctiveness models do well in accounting for the ubiquitous serial position effects observed in numerous memory paradigms, including absolute identification. Here, we provide experimental confirmation of Bower's (1971) suggestion that, contrary to a fundamental prediction of global distinctiveness models, midseries items can be more discriminable than their immediate neighbours. We show that such data are consistent with a revised distinctiveness account in which the factor affecting discrimination performance is primarily the distinctiveness of an item relative to its close neighbours.     

Probabilistic models of cognition: conceptual foundations

Remarkable progress in the mathematics and computer science of probability has led to a revolution in the scope of probabilistic models. In particular, 'sophisticated' probabilistic methods apply to structured relational systems such as graphs and grammars, of immediate relevance to the cognitive sciences. This Special Issue outlines progress in this rapidly developing field, which provides a potentially unifying perspective across a wide range of domains and levels of explanation. Here, we introduce the historical and conceptual foundations of the approach, explore how the approach relates to studies of explicit probabilistic reasoning, and give a brief overview of the field as it stands today.     

Categories and continua: a review of taxometric research

The taxometric procedures developed by Paul Meehl and his colleagues have been used in a large body of research seeking to distinguish between categorical and continuous models of latent variables. In this article the authors survey taxometric studies of psychopathological, personality, and other variables and draw conclusions about the taxonicity of latent variables in these domains. In addition, the authors review research on the validation and refinement of taxometric methods and make proposals for improving the application of taxometric research. The authors consider questions that remain about the conceptual status of taxometrics and raise new ones. They show that taxometric methodology has made an accelerating number of contributions to psychological research, has resolved several longstanding controversies, and has challenged some entrenched theoretical assumptions in differential psychology. Moreover, they contend that the research possibilities that it affords have yet to be fully exploited.     

Transformational leadership and moral reasoning

Terms such as moral and ethical leadership are used widely in theory, yet little systematic research has related a sociomoral dimension to leadership in organizations. This study investigated whether managers' moral reasoning (n = 132) was associated with the transformational and transactional leadership behaviors they exhibited as perceived by their subordinates (n = 407). Managers completed the Defining Issues Test (J. R. Rest, 1990), whereas their subordinates completed the Multifactor Leadership Questionnaire (B. M. Bass & B. J. Avolio, 1995). Analysis of covariance indicated that managers scoring in the highest group of the moral-reasoning distribution exhibited more transformational leadership behaviors than leaders scoring in the lowest group. As expected, there was no relationship between moral-reasoning group and transactional leadership behaviors. Implications for leadership development are discussed.     

A mechanism for error detection in speeded response time tasks

The concept of error detection plays a central role in theories of executive control. In this article, the authors present a mechanism that can rapidly detect errors in speeded response time tasks. This error monitor assigns values to the output of cognitive processes involved in stimulus categorization and response generation and detects errors by identifying states of the system associated with negative value. The mechanism is formalized in a computational model based on a recent theoretical framework for understanding error processing in humans (C. B. Holroyd & M. G. H. Coles, 2002). The model is used to simulate behavioral and event-related brain potential data in a speeded response time task, and the results of the simulation are compared with empirical data.