Emotional reactions to crime across cultures

Information about the emotions experienced by observers when they witness crimes would have important theoretical and practical implications, but to date no study has broadly assessed such emotional reactions. This study addressed this gap in the literature. Observers in seven countries viewed seven videos portraying actual crimes and rated their emotional reactions to each using 14 emotion scales. Observers reported significantly high levels of negative emotions including anger, contempt, disgust, fear and sadness‐related emotions, and anger, contempt and disgust were the most salient emotions experienced by viewers across all countries. Witnesses also reported significantly high levels of positive emotions as well (compared to not feeling the emotion at all), which was unexpected. Country moderated the emotion ratings; post‐hoc analyses indicated that masculine‐oriented cultures reported less nervousness, surprise, excitement, fear and embarrassment than feminine cultures.     

Fuzzy Clusterwise Growth Curve Models via Generalized Estimating Equations: An Application to the Antisocial Behavior of Children

The growth curve model has been a useful tool for the analysis of repeated measures data. However, it is designed for an aggregate-sample analysis based on the assumption that the entire sample of respondents are from a single homogenous population. Thus, this method may not be suitable when heterogeneous subgroups exist in the population with qualitatively distinct patterns of trajectories. In this paper, the growth curve model is generalized to a fuzzy clustering framework, which explicitly accounts for such group-level heterogeneity in trajectories of change over time. Moreover, the proposed method estimates parameters based on generalized estimating equations thereby relaxing the assumption of correct specification of the population covariance structure among repeated responses. The performance of the proposed method in recovering parameters and the number of clusters is investigated based on two Monte Carlo analyses involving synthetic data. In addition, the empirical usefulness of the proposed method is illustrated by an application concerning the antisocial behavior of a sample of children.     

Extending Religion-Health Research to Secular Minorities: Issues and Concerns

Claims about religion’s beneficial effects on physical and psychological health have received substantial attention in popular media, but empirical support for these claims is mixed. Many of these claims are tenuous because they fail to address basic methodological issues relating to construct validity, sampling methods or analytical problems. A more conceptual problem has to do with the near universal lack of atheist control samples. While many studies include samples of individuals classified as “low spirituality” or religious “nones”, these groups are heterogeneous and contain only a fraction of members who would be considered truly secular. We illustrate the importance of including an atheist control group whenever possible in the religiosity/spirituality and health research and discuss areas for further investigation.     

Expressed Emotion,Appraisal and Coping by Patients with Recent-onset Schizophrenia: A Pilot Investigation

This pilot study sought to follow up on indications that patients from households with high levels of expressed emotion (EE) differ from those from households with low levels of EE in ways not assessed in typical symptom rating profiles. We examined how patients appraised and coped with a prominent societal stressor. Soon after the start of the Gulf War, 22 patients with recent-onset schizophrenia living in Los Angeles appraised the stressor and completed a coping questionnaire. Results indicated that patients from high-EE homes were likely to use emotion-based confrontational methods to cope with the crisis, while patients from low-EE environments were likely to use avoidance and denial. Patients from high-EE homes thus coped with this non-familial, societal stressor in a way similar to the way in which they have been observed to cope with family conflict: they more readily expressed their anger and frustration than patients from low-EE homes. These pilot data suggest that increased attention should be directed toward those patient behaviours that may be associated with either an increase or decrease in negative affective behaviour from relatives. It may also be fruitful to consider more broadly the adaptive and maladaptive features of the preferred coping strategies of patients from high-EE and low-EE environments.     

Is no feedback perceived as a risk in online reviews?

Online reviews are critical in consumer decision-making regarding making online purchases. Given that reviews allow consumers to leave personal feedback about a product or service, it is unclear why some choose not to. This study is an examination of whether consumers tend to perceive no feedback as a sign of risk in online product listings along with the effects of no feedback on purchase intention. Regulatory focus theory is also applied to elucidate the differences in perceived risk between offerings with either high or low numbers of transactions accompanied by no feedback. Through online survey, data were gathered with 450 participants who had used any online marketplaces within 3 months. Consumers with a focus on both prevention and promotion perceive higher risk when there are many transactions with no feedback (high number of no-feedback condition), whereas consumers with a promotion focus perceive significantly lower risk when there are few transactions with no feedback (low number of no-feedback condition). From the analyses of regression and structural equation modeling, perceived risk negatively affected purchase intention in both the high and low number of no-feedback condition. Also in both the promotion and prevention focus groups, purchase intention is significantly higher in the low no feedback condition than the high no feedback. This study's findings confirm that consumers perceive offerings with high no feedback as high risk.     

The effects of incidental anger,contempt, and disgust on hostile language and implicit behaviors

Recent studies have suggested that the combination of the emotions anger‐contempt‐disgust (ANCODI) is associated with intergroup hostility. This study examined if incidental elicitation of this emotion combination causally produces hostile cognitions, language, and behaviors. Members of political groups were primed with either ANCODI, fear + sadness, or no emotion, and then engaged in creativity task in relation to their opponent or a non‐opponent outgroup. The ANCODI mix produced more hostile cognitions, language, and implicit behaviors associated with hostility, in some cases specifically toward their opponent outgroups, than individuals primed with other emotions. Multiple mediation analyses indicated that the three emotions and their interactions mediated many of the effects.     

Multilevel Dynamic Generalized Structured Component Analysis for Brain Connectivity Analysis in Functional Neuroimaging Data

We extend dynamic generalized structured component analysis (GSCA) to enhance its data-analytic capability in structural equation modeling of multi-subject time series data. Time series data of multiple subjects are typically hierarchically structured, where time points are nested within subjects who are in turn nested within a group. The proposed approach, named multilevel dynamic GSCA, accommodates the nested structure in time series data. Explicitly taking the nested structure into account, the proposed method allows investigating subject-wise variability of the loadings and path coefficients by looking at the variance estimates of the corresponding random effects, as well as fixed loadings between observed and latent variables and fixed path coefficients between latent variables. We demonstrate the effectiveness of the proposed approach by applying the method to the multi-subject functional neuroimaging data for brain connectivity analysis, where time series data-level measurements are nested within subjects.     

Implicit learning of a speed-contingent target feature

Previous human implicit learning studies have mostly investigated implicit associations between two consecutive stimuli or between a stimulus and the subsequent response (e.g., Cleeremans, Destrebecqz, & Boyer, Trends in Cognitive Sciences, 2(10), 406–416, 1998). In the present study, participants’ response speed was used as a cue to predict an upcoming target feature. We called this new type of cueing, “cueing-by-response” (CBR). We investigated whether CBR could be learned implicitly. Participants performed two tasks: participants quickly responded to a target in the simple detection task and determined the orientation of a new target in the consecutive visual search task. We applied a contingency that the target location in the visual search task was determined by the participant’s response speed in the preceding simple detection task. The results demonstrated that participants learned the contingency without conscious awareness; they searched for the target more efficiently in the visual search task as the experiment progressed. But when the target appeared in a random location, this efficiency disappeared. Moreover, the experimental group exhibited faster response speeds to the target in the visual search task compared with the control groups, which had no contingency. These results suggest that individuals may use the relative speed of their own response as a predictive cue to guide spatial attention toward upcoming target locations, and CBR can be implicitly learned.