Age and Cultural Gender Equality as Moderators of the Gender Difference in the Importance of Religion and Spirituality: Comparing the United Kingdom,France, and Germany

A range of research studies has found that women report greater importance of religion and spirituality in their lives than men do. This study extends the literature on this phenomenon, and the theories that aim to explain it, by looking at whether gender differences in the three European countries (the United Kingdom, France, and Germany) differ by adult age group (young adults 18–39, midlifers 40–59, and older adults 60+), and by the cultural gender equality of the countries in question. Participants provided data on the importance of religiosity and spirituality to their life. Significant gender differences were found within all three countries, for each of the three age groups. In line with predictions based on Global Gender Gap Report 2016, Germany showed the smallest difference, followed by France and the United Kingdom. Gender differences were smaller in the young adult samples than for midlife adults or older adults.     

A cluster analysis of text message users based on their demand for text messaging: A behavioral economic approach

The goal of this study was to determine whether cluster analysis could be used to identify distinct subgroups of text message users based on behavioral economic indices of demand for text messaging. Cluster analysis is an analytic technique that attempts to categorize cases based on similarities across selected variables. Participants completed a questionnaire about mobile phone usage and a hypothetical texting demand task in which they indicated their likelihood of paying an extra charge to continue to send text messages. A hierarchical cluster analysis was conducted on behavioral economic indices, such as demand intensity, demand elasticity, breakpoint, and the maximum expenditure. With the cluster analysis, we identified 3 subgroups of text message users. The groups were characterized by (a) high intensity and low elasticity, (b) high intensity and medium elasticity, and (c) low intensity and high elasticity. In a demonstration of convergent validity, there were statistically significant and conceptually meaningful differences across the subgroups in various measures of mobile phone use and text messaging. Cluster analysis is a useful tool for identifying and profiling distinct, practically meaningful groups based on behavioral indices and could provide a framework for targeting interventions more efficiently.     

The effects of autonomy-supportive versus controlling environments on self-talk

Based within a self-determination theory framework (SDT: Deci and Ryan, Intrinsic motivation and self-determination in human behaviour. Plenum Publishing Co., New York, 1985), the present study examined the effects of manipulating social-contextual conditions on the content of individuals’ self-talk. Seventy student volunteers were randomly assigned to a controlling or autonomy-supportive experimental condition. Participants were instructed to ‘think-aloud’ throughout a 10-min computerized task during which self-verbalizations were recorded. Audio recordings were transcribed verbatim, and then analysed using the Linguistic Inquiry and Word Count Program (LIWC; Pennebaker et al., LIWC2001; Linguistic Inquiry and Word Count (software and manual). Lawrence Erlbaum, Mahwah, NJ, 2001). Inductive content analyses were also conducted. Triangulation of the quantitative and qualitative findings revealed that in the autonomy-supportive condition, individuals’ self-talk was more informational and less controlling, with participants using more positive emotional words and assents, and fewer negative emotional words, swear words, and first person references than in the controlling condition. The findings suggest that social-context can affect cognitive factors such as self-talk and further support the promotion of autonomy-supportive environments.     

The multilevel latent covariate model: a new, more reliable approach to group-level effects in contextual studies

In multilevel modeling (MLM), group-level (L2) characteristics are often measured by aggregating individual-level (L1) characteristics within each group so as to assess contextual effects (e.g., group-average effects of socioeconomic status, achievement, climate). Most previous applications have used a multilevel manifest covariate (MMC) approach, in which the observed (manifest) group mean is assumed to be perfectly reliable. This article demonstrates mathematically and with simulation results that this MMC approach can result in substantially biased estimates of contextual effects and can substantially underestimate the associated standard errors, depending on the number of L1 individuals per group, the number of groups, the intraclass correlation, the sampling ratio (the percentage of cases within each group sampled), and the nature of the data. To address this pervasive problem, the authors introduce a new multilevel latent covariate (MLC) approach that corrects for unreliability at L2 and results in unbiased estimates of L2 constructs under appropriate conditions. However, under some circumstances when the sampling ratio approaches 100%, the MMC approach provides more accurate estimates. Based on 3 simulations and 2 real-data applications, the authors evaluate the MMC and MLC approaches and suggest when researchers should most appropriately use one, the other, or a combination of both approaches.     

Common morality: comment on Beauchamp and Childress

The notion of common morality plays a prominent role in some of the most influential theories of biomedical ethics. Here, I focus on Beauchamp and Childress’s models in the fourth and fifth edition of Principles of Biomedical Ethics as well as on a revision that Beauchamp proposed in a recent article. Although there are significant differences in these works that require separate analysis, all include a role for common morality as starting point and normative framework for theory construction in combination with a coherence theory of moral justification. I defend to some extent the existence and empirical significance of common morality, as delineated by Beauchamp and Childress in different versions, but criticize its normative role. It is neither convincing as a moral foundation nor well compatible with a standard coherentist justification. I suggest that the authors should give up the foundational account for a more modest account of common morality as resource of well-established moral insights and experiences, which have proved generally valid but neither sufficient nor infallible. Beauchamp’s latest proposal appears as a step in this direction; indeed, it may be the beginning of the end of his common-morality theory.

Toward a comprehensive test battery for face cognition: Assessment of the tasks

Despite the importance of face recognition in everyday life and frequent complaints about its failure, there is no comprehensive test battery for this ability. As a first step in constructing such a battery, we present 18 tasks aimed at measuring face perception, face learning, face recognition, and the recognition of facially expressed emotions. A sample of 153 healthy young adults completed all tasks. In general, reaction time measures showed high estimates of internal consistency; tasks focused on performance accuracy yielded reliabilities that were somewhat lower, yet high enough to support their use in a battery of face cognition measures. Some of the tasks allowed computation of established experimental effects in a within-subjects design, such as the part-whole effect. Most of these experimental effects were confirmed in our large sample, and valuable effect size estimates were obtained. However, in many cases these difference measures showed poor estimates of internal consistency.     

Conceptualizing and assessing self-enhancement bias: a componential approach

Four studies implemented a componential approach to assessing self-enhancement and contrasted this approach with 2 earlier ones: social comparison (comparing self-ratings with ratings of others) and self-insight (comparing self-ratings with ratings by others). In Study 1, the authors varied the traits being rated to identify conditions that lead to more or less similarity between approaches. In Study 2, the authors examined the effects of acquaintance on the conditions identified in Study 1. In Study 3, the authors showed that using rankings renders the self-insight approach equivalent to the component-based approach but also has limitations in assessing self-enhancement. In Study 4, the authors compared the social-comparison and the component-based approaches in terms of their psychological implications; the relation between self-enhancement and adjustment depended on the self-enhancement approach used, and the positive-adjustment correlates of the social-comparison approach disappeared when the confounding influence of the target effect was controlled.     

Gender Differences in the Choice of Computer Courses: Applying an Expectancy-Value Model

The choice of computer courses has a direct influence on the development of computer literacy. It is alarming, therefore, that girls seem to choose computer courses less frequently than boys. The present paper examines (a) whether these often-reported gender differences also occur at the early high school level (Study 1) and (b) how these differences can be predicted by applying an expectancy-value model to the domain of computing (Study 2). Both studies clearly show gender differences in the choice of computer courses in children between 10 and 16 years in the real-life situation of choosing courses at school. In Study 2, the suggested expectancy-value model is tested using data from 159 students and 137 parents. The model shows a good fit to the data, and the observed gender differences in the choice of computer course could be predicted by differences in the value placed on computers and the expectations of success. However, these differences could only be partly explained by differences in perceived parental attitudes, and there were only weak relationships between parental attitudes and the corresponding perceptions of the students. Educational implications of the findings and suggestions for future research are discussed.     

Stress impairs acquisition of delay eyeblink conditioning in men and women

In rodents stress impairs delay as well as trace eyelid conditioning in females, but enhances it in males. The present study tested the effects of acute psychosocial stress exposure on classical delay eyeblink conditioning in healthy men and women. In a between subject design, participants were exposed to psychosocial stress using the Trier Social Stress Test (TSST) or a control condition which was followed by a delay eyeblink classical conditioning procedure. Stress exposure led to a significant increase in salivary cortisol and impaired acquisition of conditioned eyeblink responses (CRs). This was evident by a later first CR and an overall lower CR rate of the stress group. The stress-induced acquisition impairment was observed in both women and men. Subjects failing to show a stress-induced cortisol increase (cortisol non-responder) were not impaired in acquisition. Our findings indicate that acute stress, possibly via activation of the hypothalamus–pituitary–adrenal (HPA) axis, reduces the ability to acquire a simple conditioned motor response in humans.