Cognitive control and the COMT Val158Met polymorphism: genetic modulation of videogame training and transfer to task-switching efficiency

The study investigated whether successful transfer of game-based cognitive improvements to untrained tasks might be modulated by preexisting neuro-developmental factors, such as genetic variability related to the catechol-O-methyltransferase (COMT)—an enzyme responsible for the degradation of dopamine. The COMT Val¹⁵⁸Met genotype may differentially affect cognitive stability and flexibility, and we hypothesized that Val/Val homozygous individuals (who possess low prefrontal dopamine levels) show more pronounced cognitive flexibility than Met/-carriers (who possess high prefrontal dopamine levels). We trained participants, genotyped for the COMT Val¹⁵⁸Met polymorphism on playing “Half-Life 2”, a first-person shooter game which has been shown to improve cognitive flexibility. Pre-training (baseline) and post-training measures of cognitive flexibility were acquired by means of a task-switching paradigm. As expected, Val/Val homozygous individuals showed larger beneficial transfer effects than Met/-carriers. Our findings support the idea that genetic predisposition modulates transfer effects and that playing first-person shooter games promotes cognitive flexibility in individuals with a suitable genetic predisposition.     

AFFECTED BY NATURE: A HERMENEUTICAL TRANSFORMATION OF ENVIRONMENTAL ETHICS

The value‐action gap poses a considerable challenge to normative environmental ethics. Because of the wide array of empirical research results that have become available in the fields of environmental psychology, education, and anthropology, ethicists are at present able to take into account insights on what effectively motivates proenvironmental behavior. The emotional aspect apparently forms a key element within a transformational process that leads to an internalization of nature within one's identity structure. We compare these findings with studies on environmental activists, which appear to a significantly lesser degree hampered by the value‐action gap, thereby attempting to understand what provides them with the drive to act more consistently on their moral attitudes. Hermeneutics is found to play a crucial role in the processes that lead to lasting and consistent motivation toward proenvironmental behavior. An empirically informed hermeneutical approach could therefore provide a promising impetus for contemporary environmental ethics.     

Legitimating the legitimate: A grounded theory study of legitimacy work among Ethics and Compliance Officers

Organizations have responded to ethical scandals in part by creating the Ethics and Compliance Officer (ECO) role to help insure employee ethical and legal behavior. Because ECO work is so fundamental to behavioral ethics in organizations and we know very little about it, we conducted a grounded theory study to learn more. We learned that, although most ECOs were hired to help their organizations respond to external legitimacy challenges, ECOs face major legitimacy challenges inside their organizations. Facilitating conditions may reduce these challenges and help ECOs reach internal legitimacy. But, we also found that ECOs engage in what we term legitimacy work that relies on a number of tactics to help them gain legitimacy in the eyes of their constituents. We tie our findings to the broader legitimacy literature and draw implications for the behavioral ethics literature.     

Authenticity at Work: Development and Validation of an Individual Authenticity Measure at Work

Building on the work by Barrett-Lennard (Carl Rogers’ helping system: Journey & substance. Sage, London 1998) and Wood et al. (J Couns Psychol 55:385–399 2008), this study describes the development and validation of a theory-based measure of state authenticity at work, the Individual Authenticity Measure at Work (IAM Work). Even though this construct is obviously relevant to the work context (e.g., as regards issues of work relations, leadership and well-being), none of the instruments currently available focuses on authenticity in the area of work and organizational psychology. A total sample of 646 participants was divided in two equal sized subsamples. Exploratory factor analysis supported the underlying tripartite construct of authenticity at work, resulting in the subscales authentic living, self-alienation, and accepting external influences. Confirmatory factor analysis confirmed the tripartite construct and showed good psychometric properties of the state-focused measure of authenticity at work. Finally, correlation analysis showed that each subscale and the total score of authenticity was positively related to commonly used work outcomes such as job satisfaction, in-role performance, and work engagement. This study concludes that the IAM Work is a reliable and valid measure of state authenticity at work. Implications for future research and practice are discussed.     

A generalized longitudinal mixture IRT model for measuring differential growth in learning environments

This article describes a generalized longitudinal mixture item response theory (IRT) model that allows for detecting latent group differences in item response data obtained from electronic learning (e-learning) environments or other learning environments that result in large numbers of items. The described model can be viewed as a combination of a longitudinal Rasch model, a mixture Rasch model, and a random-item IRT model, and it includes some features of the explanatory IRT modeling framework. The model assumes the possible presence of latent classes in item response patterns, due to initial person-level differences before learning takes place, to latent class-specific learning trajectories, or to a combination of both. Moreover, it allows for differential item functioning over the classes. A Bayesian model estimation procedure is described, and the results of a simulation study are presented that indicate that the parameters are recovered well, particularly for conditions with large item sample sizes. The model is also illustrated with an empirical sample data set from a Web-based e-learning environment.     

“Plateau”-related summary statistics are uninformative for comparing working memory models

Performance on visual working memory tasks decreases as more items need to be remembered. Over the past decade, a debate has unfolded between proponents of slot models and slotless models of this phenomenon (Ma, Husain, Bays (Nature Neuroscience 17, 347-356, 2014). Zhang and Luck (Nature 453, (7192), 233-235, 2008) and Anderson, Vogel, and Awh (Attention, Perception, Psychophys 74, (5), 891-910, 2011) noticed that as more items need to be remembered, “memory noise” seems to first increase and then reach a “stable plateau.” They argued that three summary statistics characterizing this plateau are consistent with slot models, but not with slotless models. Here, we assess the validity of their methods. We generated synthetic data both from a leading slot model and from a recent slotless model and quantified model evidence using log Bayes factors. We found that the summary statistics provided at most 0.15 % of the expected model evidence in the raw data. In a model recovery analysis, a total of more than a million trials were required to achieve 99 % correct recovery when models were compared on the basis of summary statistics, whereas fewer than 1,000 trials were sufficient when raw data were used. Therefore, at realistic numbers of trials, plateau-related summary statistics are highly unreliable for model comparison. Applying the same analyses to subject data from Anderson et al. (Attention, Perception, Psychophys 74, (5), 891-910, 2011), we found that the evidence in the summary statistics was at most 0.12 % of the evidence in the raw data and far too weak to warrant any conclusions. The evidence in the raw data, in fact, strongly favored the slotless model. These findings call into question claims about working memory that are based on summary statistics.     

Brain Networks in Schizophrenia

Schizophrenia—a severe psychiatric condition characterized by hallucinations, delusions, loss of initiative and cognitive function—is hypothesized to result from abnormal anatomical neural connectivity and a consequent decoupling of the brain’s integrative thought processes. The rise of in vivo neuroimaging techniques has refueled the formulation of dysconnectivity hypotheses, linking schizophrenia to abnormal structural and functional connectivity in the brain at both microscopic and macroscopic levels. Over the past few years, advances in high-field structural and functional neuroimaging techniques have made it increasingly feasible to reconstruct comprehensive maps of the macroscopic neural wiring system of the human brain, know as the connectome. In parallel, advances in network science and graph theory have improved our ability to study the spatial and topological organizational layout of such neural connectivity maps in detail. Combined, the field of neural connectomics has created a novel platform that provides a deeper understanding of the overall organization of brain wiring, its relation to healthy brain function and human cognition, and conversely, how brain disorders such as schizophrenia arise from abnormal brain network wiring and dynamics. In this review we discuss recent findings of connectomic studies in schizophrenia that examine how the disorder relates to disruptions of brain connectivity.     

Statistical modelling in the investigation of stranger rape

A sample of stranger rape offences (n = 271) registered in the Dutch Violence Crime Linkage Analysis System database in the Netherlands between 1997 and 2007 was studied with the objective of developing statistical models, which give an indication of the probability of basic offender characteristics. Observable crime characteristics concerning the modus operandi, interaction between the offender and the victim, violence, precautionary measures, and sexual behaviours were selected in the dataset. Offender characteristics were selected based on their usefulness for the police organisation in narrowing the scope of a criminal investigation. Spatial behaviour, criminal history, and living situation of the offender were selected. From the predictive models, four out of five achieved a correct rate of over 70%, and all models predicted better than the best guess method. The proposed models for distance and prior convictions for violence seem particularly promising. Both these models show an improvement of correctly predicted offender characteristics of more than 20 percentile points compared with that which could have been estimated based on the average in the total sample. The predictive value of the models needs to be tested further with ‘new offences’, which were not used to construct the model. In general, the current study supports the finding that crime characteristics can be used to get an indication of the probability of certain offender characteristics. Nevertheless, for an understanding of the relationship between the crime characteristics and offender characteristics, a further development of a theoretical framework is urgently necessary. Copyright © 2009 John Wiley & Sons, Ltd.     

The Development of Narrative Comprehension and Its Relation to Other Early Reading Skills

The first goal of this study was to examine young children's developing narrative comprehension abilities using theory-based, authentic measures of comprehension processes. The second goal was to examine the relations among young children's comprehension abilities and other early reading skills. Children ages 4 and 6 listened to or watched two authentic narratives. We measured their comprehension of these narratives as well as vocabulary and skills associated with word decoding. The results revealed that even the younger children were sensitive to the underlying structure of the narratives and that this sensitivity increased with age. Measures of narrative comprehension were not consistently correlated with skills associated with word decoding, such as phonological awareness. The results are discussed in terms of theoretical models of comprehension and of reading development. Practical implications of the findings are also explored.     

Motivational support provided via email improves the effectiveness of internet-delivered self-help treatment for insomnia: A randomized trial

Internet-delivered treatment is effective for insomnia, but little is known about the beneficial effects of support. The aim of the current study was to investigate the additional effects of low-intensity support to an internet-delivered treatment for insomnia. Two hundred and sixty-two participants were randomized to an internet-delivered intervention for insomnia with (n = 129) or without support (n = 133). All participants received an internet-delivered cognitive behavioral treatment for insomnia. In addition, the participants in the support condition received weekly emails. Assessments were at baseline, post-treatment, and 6-month follow-up. Both groups effectively ameliorated insomnia complaints. Adding support led to significantly higher effects on most sleep measures (d = 0.3–0.5; p < 0.05), self-reported insomnia severity (d = 0.4; p < 0.001), anxiety, and depressive symptoms (d = 0.4; p < 0.01). At the 6-month follow-up, these effects remained significant for sleep efficiency, sleep onset latency, insomnia symptoms, and depressive symptoms (d = 0.3–0.5; p < 0.05). Providing support significantly enhances the benefits of internet-delivered treatment for insomnia on several variables. It appears that motivational feedback increases the effect of the intervention and encourages more participants to complete the intervention, which in turn improves its effectiveness.