A kinematic examination of dual-route processing for action imitation

The dual-route model of imitation suggests that meaningful and meaningless actions are processed through either an indirect or a direct route, respectively. Evidence indicates that the direct route is more cognitively demanding since it relies on mapping visuospatial properties of the observed action on to a performed one. These cognitive demands might negatively influence reaction time and accuracy for actions performed following a meaningless action under time constraints. However, how meaningful and meaningless action imitation processing is reflected in movement kinematics is not yet clear. We wanted to confirm whether meaningless action performance incurs a reaction time cost, whether the cost is reflected in kinematics, and, more generally, to examine kinematic markers of emblematic meaningful and meaningless action imitation. We examined participants’ reaction time and wrist movements when they imitated emblematic meaningful or matched meaningless gestures in either blocks of the same action type or mixed blocks. Meaningless actions were associated with a greater correction period at the end of the movement, possibly reflecting a strategy designed to ensure accurate completion for less familiar actions under time constraints. Furthermore, in mixed blocks, trials following meaningless actions had a significantly increased reaction time, supporting previous claims that route selection for action imitation may be stimulus-driven. However, there was only convincing evidence for this effect with an interval of ~2,948ms, but not ~3,573ms or ~2,553ms, between movements. Future work motion-tracking the entire hand to assess imitation accuracy, and more closely examining the influence of duration between movements, may help to explain these effects.     

Bayesian analysis of the piecewise diffusion decision model

Most past research on sequential sampling models of decision-making have assumed a time homogeneous process (i.e., parameters such as drift rates and boundaries are constant and do not change during the deliberation process). This has largely been due to the theoretical difficulty in testing and fitting more complex models. In recent years, the development of simulation-based modeling approaches matched with Bayesian fitting methodologies has opened the possibility of developing more complex models such as those with time-varying properties. In the present work, we discuss a piecewise variant of the well-studied diffusion decision model (termed pDDM) that allows evidence accumulation rates to change during the deliberation process. Given the complex, time-varying nature of this model, standard Bayesian parameter estimation methodologies cannot be used to fit the model. To overcome this, we apply a recently developed simulation-based, hierarchal Bayesian methodology called the probability density approximation (PDA) method. We provide an analysis of this methodology and present results of parameter recovery experiments to demonstrate the strengths and limitations of this approach. With those established, we fit pDDM to data from a perceptual experiment where information changes during the course of trials. This extensible modeling platform opens the possibility of applying sequential sampling models to a range of complex non-stationary decision tasks.     

Why are Religiousness and Spirituality Associated with Externalizing Psychopathology? A Literature Review

This review explores the relation of religiousness and spirituality with externalizing psychopathology in adolescence given the heightened externalizing psychopathology during this developmental period. Utilizing a developmental psychopathology framework, previous literature is reviewed focusing on the diversity of pathways from religiousness and spirituality to externalizing psychopathology at multiple levels of analysis. Moreover, the pathways considered include both intraindividual factors (e.g., self-control, monitoring, delay discounting and time orientation, and neurobiological regulatory systems) and ecological factors (e.g., intergenerational transmission, parent–child relationships, and community relationships). These pathways are explored in light of theoretical viewpoints including social control theory, divine interaction theory, and the religious ecology model. Limitations of extant work are examined, including measurement and design issues, exploration of potential negative effects of religiousness and spirituality, and bias toward Western religions. Finally, future directions of research and clinical implications are discussed.     

Recursive Partitioning to Identify Potential Causes of Differential Item Functioning in Cross-National Data

Differential item functioning (DIF) assessment is key in score validation. When DIF is present scores may not accurately reflect the construct of interest for some groups of examinees, leading to incorrect conclusions from the scores. Given rising immigration, and the increased reliance of educational policymakers on cross-national assessments such as Programme for International Student Assessment, Trends in International Mathematics and Science Study, and Progress in International Reading Literacy Study (PIRLS), DIF with regard to native language is of particular interest in this context. However, given differences in language and cultures, assuming similar cross-national DIF may lead to mistaken assumptions about the impact of immigration status, and native language on test performance. The purpose of this study was to use model-based recursive partitioning (MBRP) to investigate uniform DIF in PIRLS items across European nations. Results demonstrated that DIF based on mother's language was present for several items on a PIRLS assessment, but that the patterns of DIF were not the same across all nations.     

An electrophysiological investigation into the automaticity of emotional face processing in high versus low trait anxious individuals

To examine the extent of automaticity of emotional face processing in high versus low trait anxious participants, event-related potentials (ERPs) were recorded to emotional (fearful, happy) and neutral faces under varying task demands (low load, high load). Results showed that perceptual encoding of emotional faces, as reflected in P1 and early posterior negativity components, was unaffected by the availability of processing resources. In contrast, the postperceptual registration and storage of emotion-related information, as reflected in the late positive potential component at frontal locations, was influenced by the availability of processing resources, and this effect was further modulated by level of trait anxiety. Specifically, frontal ERP augmentations to emotional faces were eliminated in the more demanding task for low trait anxious participants, whereas ERP enhancements to emotional faces were unaffected by task load in high trait anxious participants. This result suggests greater automaticity in processing affective information in high trait anxious participants.     

Social pressures on organizational website adoption

Innovation adoption research has demonstrated that organizational features and perceived benefits of innovations play significant roles in explaining organizational‐level decisions to adopt new technologies. Beyond such motivations, however, social pressures operating at the interorganizational level have been proposed to influence the decision to adopt innovations, even without regard to any proven or anticipated benefit from the innovation itself. To empirically determine the influence of organizational features, perceived benefits, and social pressures on organizations' innovation adoption decisions, this study examined the decisions of 288 organizations to adopt Internet websites. Organizational social pressures were found to be the most significant discriminators of adopters and non adopters, although they were not particularly important in predicting the likelihood of future adoption for those organizations currently without websites. This finding suggests that social pressures are significant in innovation adoption, but that they may have their strongest effect during the early phases of innovation diffusion. Organizational features and perceived benefits were also reasonable discriminators of adopters and nonadopters as well as effective predictors of the likelihood of adoption for nonadopters. To a lesser degree, these factors were also predictive of the stage of adoption for those organizations that have already adopted websites.