Human values and social identities: A study in two collectivist cultures

The current study examines the value correlates of social identities (identification with in‐groups and geospatial units) in two collectivist cultures (Brazil, n = 471; Spain, n = 476). According to previous research, it was expected that subjects who score higher on social values would be more identified with the various traditional in‐groups and with the local geospatial units and that social identities would be predicted by different values among Brazilians and Spaniards. Subjects were undergraduate students (228 males; 719 females), with age ranging from 16 to 55 years (M = 21.9; SD = 4.57), from three states in Brazil (Paraíba, Distrito Federal, and São Paulo) and Spain (Pontevedra, Madrid, and Barcelona). They were administered the Individualism‐CollectivismQuestionnaire, the Basic Value Survey, the In‐group Identification Scale, the Geospatial Identification Scale, and a questionnaire with demographic questions (e.g., gender, age, religious affiliation). Results confirm that importance attributed to social values is correlated with traditional in‐group and local geospatial identification, and that values predicting social identities are different across cultures, especially in the case of values related to geospatial identification. Specifically, among the set of social human values, belonging and tradition were most important to explain social identities. Subjects that assigned more importance to privacy were less identified with traditional ingroups, independently of their national culture. Geospatial identification was based on the values religiosity and belonging for Brazilians, and tradition, social order, honesty, and power for Spaniards. In general, these findings corroborate previous ones, suggesting the existence of a common set of values to explain social identity, based on principally normative values (social order and tradition). Moreover, they indicate the specificity and complexity of the geospatial identification in Spain, where the values of honesty and power contribute to explaining it. In this country, it is possible that the determinants of geospatial identification surpass the social orientation endorsed by people.     

Desirability of control: psychometric properties and relationships with locus of control,personality, coping,and mental and somatic complaints in three Dutch samples

Desire for control (DC) or need for control has frequently been proposed as an important personality characteristic and as a possible crucial moderator within the fields of achievement, psychological adaptation, stress, and health. However, unlike locus of control, hardly any effort has been undertaken to assess the construct. An exception is the work of Burger and Cooper on the Desirability of Control Scale ( 1979 ). In the present study, the psychometric properties of a Dutch version of the DC scale were tested in three different samples (total N = 1044). Furthermore, relationships between DC, its subscales, and various psychological personality and outcome measures were examined. The results show that the psychometric properties of the original DC scale could be successfully transposed to the Dutch version. Furthermore, factor analyses (PCA) led to the construction of three reliable subscales: ‘control others’ (desire to be in charge of and control others), ‘control self’ (desire to control one's own life), and ‘relinquish control’ (desire to leave others in control). The pattern of relationships with convergent and outcome variables supports the interpretation of these subscales. For ‘control others’, as for the total DC scale (i.e. a total of all 20 items), the emphasis of these relationships was on dominance, active coping, and psychological adjustment. ‘Control self’ was mainly related to self‐sufficiency and independence, while ‘relinquish control’ was clearly associated with passive coping and poor psychological adjustment. In summary, the DC scale appears to be a psychometrically sound instrument to assess desire for control and its subdimensions. Copyright © 2002 John Wiley & Sons, Ltd.     

Statistical inference of minimum rank factor analysis

For any given number of factors, Minimum Rank Factor Analysis yields optimal communalities for an observed covariance matrix in the sense that the unexplained common variance with that number of factors is minimized, subject to the constraint that both the diagonal matrix of unique variances and the observed covariance matrix minus that diagonal matrix are positive semidefinite. As a result, it becomes possible to distinguish the explained common variance from the total common variance. The percentage of explained common variance is similar in meaning to the percentage of explained observed variance in Principal Component Analysis, but typically the former is much closer to 100 than the latter. So far, no statistical theory of MRFA has been developed. The present paper is a first start. It yields closed-form expressions for the asymptotic bias of the explained common variance, or, more precisely, of the unexplained common variance, under the assumption of multivariate normality. Also, the asymptotic variance of this bias is derived, and also the asymptotic covariance matrix of the unique variances that define a MRFA solution. The presented asymptotic statistical inference is based on a recently developed perturbation theory of semidefinite programming. A numerical example is also offered to demonstrate the accuracy of the expressions.This work was supported, in part, by grant DMS-0073770 from the National Science Foundation.     

Team climate,climate strength and team performance. A longitudinal study

We tested the hypothesis that the relationship between team climate and team performance is moderated by climate strength. The study sample was composed of 155 bank branches, and a two‐wave panel design was implemented. We measured four team climate facets (support, innovation, goal achievement and enabling formalization). We obtained two subjective indicators of team performance (ratings provided by team members and by team managers) and a financial indicator of team performance. Seven out of the 12 interaction effects tested were statistically significant and showed the expected sign. When financial team performance was the criterion, only the interaction term was significant. This suggests that only strong climates are related to financial team performance over time.     

Refutation by Parallel Argument

This paper discusses the method when an argument is refuted by a parallel argument since the flaw of the parallel argument is clearly displayed. The method is explicated, examined and compared with two other general methods.

Right or Wrong? The Brain's Fast Response to Morally Objectionable Statements

ABSTRACT— How does the brain respond to statements that clash with a person's value system? We recorded event-related brain potentials while respondents from contrasting political-ethical backgrounds completed an attitude survey on drugs, medical ethics, social conduct, and other issues. Our results show that value-based disagreement is unlocked by language extremely rapidly, within 200 to 250 ms after the first word that indicates a clash with the reader's value system (e.g., "I think euthanasia is an acceptable/unacceptable…"). Furthermore, strong disagreement rapidly influences the ongoing analysis of meaning, which indicates that even very early processes in language comprehension are sensitive to a person's value system. Our results testify to rapid reciprocal links between neural systems for language and for valuation.     

Lesions of the dorsal subiculum and the dorsal hippocampus impaired pattern separation in a task using distinct and overlapping visual stimuli

The contribution of the dorsal subiculum (DS) and of the dorsal hippocampus (DH) to memory for distinct and overlapping visual stimuli was examined. Rats with selective lesions of the DS or the DH were compared to sham-operated rats on a delayed matching-to-place task guided by distal visual cues in a modified radial-arm maze. Overlapping distal visual cues could be perceived from three arm entrances (adjacent arms) and a unique set of distal cues were more likely to be seen from the other two arm entrances (distinct arms). Rats with DS lesions were impaired on trials with baited adjacent arms, but not on trials with baited distinct arms. Rats with DH lesions were impaired on both types of trials. These results suggest that the DS and the DH are necessary for pattern separation and that they may have different contributions to memory.     

How need for cognition affects the formation of performance expectancies at school

Individuals with low Need for Cognition (NFC) have been found to process information using a peripheral route compared to individuals higher in NFC. These differences affect the formation of performance expectancies. Based on previous work demonstrating that the formation of performance expectancies can be understood as an information processing event and that inferring expectancies from the specific self-concept requires cognitive motivation, we tested whether students with higher NFC had performance expectancies in a specific subject that more strongly depended on specific self-concept. The participants (554 tenth grade students) reported their NFC, performance expectancies, general self-concept, and specific self-concepts in mathematics and English. Actual performance was assessed for mathematics. Multiple linear regressions supported the interaction-hypothesis concerning performance expectancies in mathematics and English. In addition, the higher the students’ NFC, the stronger actual performance in mathematics related to the specific self-concept. The results suggested that performance expectancies mediated the effect of self-concept on performance. NFC is an important variable influencing motivational processes, and should be included in models describing the relation between self-concepts and individuals beliefs or behaviors.     

Model‐related factor score predictors for confirmatory factor analysis

The present paper introduces model‐related (MR) factor score predictors, which reflect specific aspects of confirmatory factor models. The development is mainly based on Schönemann and Steiger's regression score components, but it can also be applied to the factor score coefficients. It is shown that the rotation of factor score predictors has no impact on the covariance matrix reproduced from the corresponding regression component patterns. Thus, regression score components or factor score coefficients can be rotated in order to obtain the required properties. This idea is the basis for MR factor score predictors, which are computed by means of a partial Procrustes rotation towards a target pattern representing the interesting properties of a confirmatory factor model. Two examples demonstrate the construction of MR factor score predictors reflecting specific constraints of a factor model.