An Emotionally Inexpressive (Type C) Coping Style Influences HIV Disease Progression at Six and Twelve Month Follow-ups

This study examined the effects of specific psychosocial factors on the progression of HIV infection in 200 HIV-1 seropositive but asymptomatic men and women. At baseline, participants' disease status was determined, and they were administered self-report assessments of coping style, social support and loneliness. Participants were classified at 6 and 12 month follow-ups as progressed or unchanged, compared to their baseline status. In logistic regression analyses, higher baseline Type C coping scores (indicating emotional inexpressiveness and decreased recognition of needs and feelings) significantly predicted progression at 6 months ( p <0.01) and 12 months ( p <0.02), but only among participants classified at baseline as CDC-A2 (between 200-499 CD4 cells/mm 3 ). In participants originally classified as CDC-A1 (CD4 cell counts > 500/mm 3 ), no psychosocial variable showed any significant relationship. Results emphasize the need to consider the disease context, as well as the interaction between biological and psychological factors in contributing to disease progression.     

Breach of Psychological Contract and the Development of Burnout and Engagement: A Longitudinal Study Among Soldiers on a Peacekeeping Mission

We assumed that a breach in psychological contract had an effect on soldiers' well-being and not only promoted their burnout levels but decreased their levels of engagement. In a longitudinal study with 387 individuals on a peacekeeping mission, we analyzed the impact of the noncompliance of Army obligations in this mission on the burnout and engagement of soldiers. We found that during the mission their levels of burnout increased, whereas their engagement levels dropped. At the end of the mission, however, this breach in psychological contract did not influence their burnout levels, in spite of a continued reduction in the soldiers' engagement. Theoretical and practical implications are discussed and limitations and suggestions for future research are presented.     

Relational Job Characteristics and Work Engagement: Mediation by Prosocial Motivation

This study tested the relation between perceived social impact, social worth, and work engagement in the military, and mediating effects of prosocial motivation. We tested hypotheses using structural equation modeling analysis in a field study with 322 officers and sergeants and 1,045 soldiers of the Portuguese Army. Results confirmed that perceived social impact and social worth were associated with work engagement. Furthermore, regardless of the rank category, perceived social impact was associated with higher prosocial motivation, which in turn was associated with higher work engagement. In the soldiers subsample, results further indicated that soldiers’ perceived social worth was associated with higher prosocial motivation, which in turn was related to higher work engagement. The direct effects of perceived social impact and social worth on work engagement, and the mediating role of prosocial motivation supported the hypothesis that perceptions of social impact and social worth may strengthen the motives to “do good” (prosocial motivation), leading to an upward spiral that cultivates work engagement among members of the military.     

Response to Comment: Starting to Solve the Method Puzzle in Salesperson Self-Report Evaluations

This response addresses the comments of Sharma, Rich, and Levy (2004) about the generalizability of the performance effect. The comments are addressed by bringing additional theoretical and empirical support with a new study that replicates and extends the results of our 2003 paper. Results confirm our 2003 findings that bottom performers overestimate and that top performers underestimate their job performance. Further, results confirm our 2003 findings that bottom performers are significantly more inaccurate than top salespeople in their performance estimation. Finally, this study extends previous research by providing evidence that the inaccuracy in self-evaluations is reduced when factualbased questions are used.     

A Meta-Analytic Comparison of Managerial Ratings and Self-Evaluations

The purpose of this study was to examine the equivalence of self-reports and managerial ratings of salesperson job performance. A meta-analysis showed that the two measures exhibited low convergent validity (mean corrected correlation = 0.19), which indicated that they are not interchangeable. The predictive validity of self-reports and managerial ratings was compared. Managerial ratings had a corrected mean correlation of 0.44 with objective performance, whereas the corrected mean correlation between self-reports and objective measures was 0.34. Further meta-analytic investigations showed that the divergence between self-reports and managerial ratings was attributable to the performance effect. A discussion of the findings and avenues for further research are also provided.     

Algorithmic complexity for short binary strings applied to psychology: a primer

As human randomness production has come to be more closely studied and used to assess executive functions (especially inhibition), many normative measures for assessing the degree to which a sequence is randomlike have been suggested. However, each of these measures focuses on one feature of randomness, leading researchers to have to use multiple measures. Although algorithmic complexity has been suggested as a means for overcoming this inconvenience, it has never been used, because standard Kolmogorov complexity is inapplicable to short strings (e.g., of length l?≤?50), due to both computational and theoretical limitations. Here, we describe a novel technique (the coding theorem method) based on the calculation of a universal distribution, which yields an objective and universal measure of algorithmic complexity for short strings that approximates Kolmogorov–Chaitin complexity.     

A latent class distance association model for cross‐classified data with a categorical response variable

In this paper we propose a latent class distance association model for clustering in the predictor space of large contingency tables with a categorical response variable. The rows of such a table are characterized as profiles of a set of explanatory variables, while the columns represent a single outcome variable. In many cases such tables are sparse, with many zero entries, which makes traditional models problematic. By clustering the row profiles into a few specific classes and representing these together with the categories of the response variable in a low‐dimensional Euclidean space using a distance association model, a parsimonious prediction model can be obtained. A generalized EM algorithm is proposed to estimate the model parameters and the adjusted Bayesian information criterion statistic is employed to test the number of mixture components and the dimensionality of the representation. An empirical example highlighting the advantages of the new approach and comparing it with traditional approaches is presented.     

The double-edged effects of emotional intelligence on the adaptive selling–salesperson-owned loyalty relationship

Emotional intelligence can positively impact sales outcomes. However, research is needed to enhance our understanding about how salesperson's emotional intelligence affects adaptive selling and customer outcomes. This study uses dyadic data from 150 customers matched with 25 salespeople to investigate relationships among emotional intelligence, adaptive selling (AS) and customer loyalty perceptions. Research findings show that regulation of emotions negatively affects salesperson-owned loyalty (SOL), while it positively moderates the AS-SOL relationship. These findings are critical as they challenge the pervasive conception of the positive impact of regulation of emotions in sales. Results also provide further evidence that SOL is important to the firm as it positively affects loyalty to the service provider and through mediating processes also impacts word of mouth.     

The Genocidal Islamophobia of a Late Nineteenth-Century French Anti-Semite: D. Kimon and The Pathology of Islam

This article contributes to the study of the image of Islam among French anti-Semites at the end of the nineteenth century. More specifically, it analyses D. Kimon's book La pathologie de l'islam, in which the author advocates the need to destroy Islam by annihilating one-twentieth of the world's Muslim population and subjecting the rest to a regime of semi-slavery until they finally convert to Catholicism. Various issues are analysed in the course of this case study: the attitude of anti-Semites towards ethno-cultural groups other than Jews, specifically Muslims; the relationship between anti-Semitism and racism; and the relationship between Islamophobia and racism.