Applying the job demands–resources model to the work–home interface: A study among medical residents and their partners

Work–home interference (WHI) is a prevalent problem because most employees have substantial family responsibilities on top of their work demands. The present study hypothesized that high job demands in combination with low job resources contribute to WHI. The job demands–resources (JD-R) model was used as a theoretical framework. Using a sample of 230 medical residents and their partners, our results show that the combination of high job demands (i.e., work overload, emotional and cognitive demands) and low job resources (i.e., participation in decision making, supervisory coaching, feedback, and opportunities for development) was positively related to partner ratings of the employee's WHI. When job resources were high, most job demands were not related to WHI. These findings show that the JD-R model is a conceptual framework that can be fruitfully applied to the work–family interface, adding to our understanding of which particular job designs facilitate or prevent work–home interference.     

Object based implicit contextual learning: a study of eye movements

Implicit contextual cueing refers to a top-down mechanism in which visual search is facilitated by learned contextual features. In the current study we aimed to investigate the mechanism underlying implicit contextual learning using object information as a contextual cue. Therefore, we measured eye movements during an object-based contextual cueing task. We demonstrated that visual search is facilitated by repeated object information and that this reduction in response times is associated with shorter fixation durations. This indicates that by memorizing associations between objects in our environment we can recognize objects faster, thereby facilitating visual search.     

Has cyber technology produced a new group of peer aggressors?

Cyber technology provides a new venue for the expression of aggression. However, whether cyber technology has produced a new group of peer aggressors or simply allowed aggressive peers new tools to victimize others is unclear. This study sampled 1,672 adolescents to assess their engagement in cyber aggression. Although "cyber," "overt," and "relational" represent distinct subtypes of aggressive behavior, our results indicate that adolescents' behaviors clustered according to their frequency-not type-of aggression. Thus cyber technology provides new tools for youth who already engage in aggressive behaviors in the physical world to victimize peers in cyberspace.     

Risk factors for onset of eating disorders: Evidence of multiple risk pathways from an 8-year prospective study

Objective

Use classification tree analysis with lagged predictors to determine empirically derived cut-points for identifying adolescent girls at risk for future onset of threshold, subthreshold, and partial eating disorders and test for interactions between risk factors that may implicate qualitatively distinct risk pathways.

Method

Data were drawn from a prospective study of 496 adolescent girls who completed diagnostic interviews and surveys annually for 8 years.

Results

Body dissatisfaction emerged as the most potent predictor; adolescent girls in the upper 24% of body dissatisfaction showed a 4.0-fold increased incidence of eating disorder onset (24% vs. 6%). Among participants in the high body dissatisfaction branch, those in the upper 32% of depressive symptoms showed a 2.9-fold increased incidence of onset (43% vs. 15%). Among participants in the low body dissatisfaction branch, those in the upper 12% of dieting showed a 3.6-fold increased incidence onset (18% vs. 5%).

Conclusion

This three-way interaction suggests a body dissatisfaction pathway to eating disorder onset that is amplified by depressive symptoms, as well as a pathway characterized by self-reported dieting among young women who are more satisfied with their bodies. It may be possible to increase the effectiveness of prevention programs by targeting each of these qualitatively distinct risk groups, rather than only individuals with a single risk factor.     

Toward a new approach to the study of personality in culture

We review recent developments in the study of culture and personality measurement. Three approaches are described: an etic approach that focuses on establishing measurement equivalence in imported measures of personality, an emic (indigenous) approach that studies personality in specific cultures, and a combined emic-etic approach to personality. We propose the latter approach as a way of combining the methodological rigor of the etic approach and the cultural sensitivity of the emic approach. The combined approach is illustrated by two examples: the first with origins in Chinese culture and the second in South Africa. The article ends with a discussion of the theoretical and practical implications of the combined emic-etic approach for the study of culture and personality and for psychology as a science.     

Simultaneous analysis of coupled data matrices subject to different amounts of noise

In many areas of science, research questions imply the analysis of a set of coupled data blocks, with, for instance, each block being an experimental unit by variable matrix, and the variables being the same in all matrices. To obtain an overall picture of the mechanisms that play a role in the different data matrices, the information in these matrices needs to be integrated. This may be achieved by applying a data‐analytic strategy in which a global model is fitted to all data matrices simultaneously, as in some forms of simultaneous component analysis (SCA). Since such a strategy implies that all data entries, regardless the matrix they belong to, contribute equally to the analysis, it may obfuscate the overall picture of the mechanisms underlying the data when the different data matrices are subject to different amounts of noise. One way out is to downweight entries from noisy data matrices in favour of entries from less noisy matrices. Information regarding the amount of noise that is present in each matrix, however, is, in most cases, not available. To deal with these problems, in this paper a novel maximum‐likelihood‐based simultaneous component analysis method, referred to as MxLSCA, is proposed. Being a stochastic extension of SCA, in MxLSCA the amount of noise in each data matrix is estimated and entries from noisy data matrices are downweighted. Both in an extensive simulation study and in an application to data stemming from cross‐cultural emotion psychology, it is shown that the novel MxLSCA strategy outperforms the SCA strategy with respect to disclosing the mechanisms underlying the coupled data.     

Type D personality and the development of PTSD symptoms: a prospective study

Psychological trauma and prolonged stress may cause mental disorders such as posttraumatic stress disorder (PTSD). Pretrauma personality is an important determinant of posttraumatic adjustment. Specifically, trait neuroticism has been identified as a risk factor for PTSD. Additionally, the combination of high negative affectivity or neuroticism with marked social inhibition or introversion, also called Type D personality (Denollet, 2000), may compose a risk factor for PTSD. There is no research available that examined pretrauma Type D personality in relation to PTSD. The present study examined the predictive validity of the Type D personality construct in a sample of Dutch soldiers. Data were collected prior to and 6 months after military deployment to Afghanistan. Separate multiple regression analyses were performed to examine the predictive validity of Type D personality. First, Type D personality was defined as the interaction between negative affect and social inhibition (Na × Si). In a second analysis, Type D was defined following cutoff criteria recommended by Denollet (2000). Results showed that negative affectivity was a significant predictor of PTSD symptoms. Social inhibition and the interaction Na × Si did not add to the amount of explained variance in postdeployment PTSD scores over the effects of childhood abuse, negative affectivity, and prior psychological symptoms. A second analysis showed that Type D personality (dichotomous) did not add to the amount of explained variance in postdeployment PTSD scores over the effects of childhood abuse, and prior psychological symptoms. Therefore, Type D personality appears to be of limited value to explain development of combat-related PTSD symptoms.     

Moving from efficacy to effectiveness trials in prevention research

Efficacy trials test whether interventions work under optimal, highly controlled conditions whereas effectiveness trials test whether interventions work with typical clients and providers in real-world settings. Researchers, providers, and funding bodies have called for more effectiveness trials to understand whether interventions produce effects under ecologically valid conditions, which factors predict program effectiveness, and what strategies are needed to successfully implement programs in practice settings. The transition from efficacy to effectiveness with preventive interventions involves unique considerations, some of which are not shared by treatment research. The purpose of this article is to discuss conceptual and methodological issues that arise when making the transition from efficacy to effectiveness research in primary, secondary, and tertiary prevention, drawing on the experiences of two complimentary research groups as well as the existing literature. We address (a) program of research, (b) intervention design and conceptualization, (c) participant selection and characteristics, (d) providers, (e) context, (f) measurement and methodology, (g) outcomes, (h) cost, and (i) sustainability. We present examples of research in eating disorder prevention that demonstrate the progression from efficacy to effectiveness trials.     

Evaluating expectations about negative emotional states of aggressive boys using Bayesian model selection

Researchers often have expectations about the research outcomes in regard to inequality constraints between, e.g., group means. Consider the example of researchers who investigated the effects of inducing a negative emotional state in aggressive boys. It was expected that highly aggressive boys would, on average, score higher on aggressive responses toward other peers than moderately aggressive boys, who would in turn score higher than nonaggressive boys. In most cases, null hypothesis testing is used to evaluate such hypotheses. We show, however, that hypotheses formulated using inequality constraints between the group means are generally not evaluated properly. The wrong hypotheses are tested, i.e.. the null hypothesis that group means are equal. In this article, we propose an innovative solution to these above-mentioned issues using Bayesian model selection, which we illustrate using a case study.     

Effects of preference on verification of discriminated mands

Previous research suggests that motivating operation (MO) manipulations may assist in assessing discriminated manding (Gutierrez et al., 2007). The current study partially replicated and extended previous research by varying access to concurrently available reinforcers with different preference values (i.e., MO manipulations). Manding did not occur (a) for reinforcers that were freely available and (b) for lower preference items when relatively higher preference reinforcers were freely available. Results further demonstrated the utility of manipulating MOs to verify discriminated mands but suggest that relative preference of alternative reinforcers should be controlled during these assessments.