Social interpretation bias and generalized social phobia: the influence of developmental experiences

Patients with generalized social phobia (N = 42) and non-phobic community controls (N = 42) engaged in a social interaction with an experimental assistant whose behavior was used to create either a positive or an ambiguous social environment. Participants then rated their own performance and their partner's behavior. As a group, social phobic patients displayed negatively biased self-judgments, but failed to display biased social interpretations. Among the social phobia group, a social developmental history marked by parental hostility was associated with negative interpretations of partner behavior and a history of parental overprotection was associated with less sensitivity to partner behavior. The results supported cognitive models of social phobia, which implicate negative learning experiences in the development of information processing biases.     

Tests of the E-Z Reader model: exploring the interface between cognition and eye-movement control

This paper is simultaneously a test and refinement of the E-Z Reader model and an exploration of the interrelationship between visual and language processing and eye-movements in reading. Our modeling indicates that the assumption that words in text are processed serially by skilled readers is a viable and attractive hypothesis, as it accounts not only for "normal" reading data, but also for the pattern of decrements that occur when text is withheld from view during certain periods of time, such as in the boundary paradigm and the disappearing text paradigm. Our analyses also indicate (a) that lexical processing during reading is essentially continuous and (b) that the trigger for eye movements has to be a different (and prior) event to the trigger for shifts of covert spatial attention. In addition, the parameter values in our model are in accordance with what is known about such processes and should be taken as serious hypotheses for how long these processes last. Although a parallel model may be able to duplicate the predictions of the E-Z Reader model, we think that it is likely to be far less parsimonious and not nearly as good a heuristic device for using eye movements to understand language processing in reading.     

The neuronal basis of bimanual coordination: recent neurophysiological evidence and functional models

Recent physiological studies of the neuronal processes underlying bimanual movements provide new tests for earlier functional models of bimanual coordination. The recently acquired data address three conceptual areas: the generalized motor program (GMP), intermanual crosstalk and dynamic systems models. To varying degrees, each of these concepts has aspects that can be reconciled with experimental evidence. The idea of a GMP is supported by the demonstration of abstract neuronal motor codes, e.g. bimanual-specific activity in motor cortex. The crosstalk model is consistent with the facts that hand-specific coding also exists and that interactions occur between the motor commands for each arm. Uncrossed efferent projections may underlie crosstalk on an executional level. Dynamic interhemispheric interactions through the corpus callosum may provide a high-level link at the parametric programming level, allowing flexible coupling and de-coupling. Flexible neuronal interactions could also underlie adaptive large-scale systems dynamics that can be formalized within the dynamic systems theory approach.

The correspondence of identified neuronal processes with functions of abstract models encourages the development of realistic computational models that can predict bimanual behavior on the basis of neuronal activity.     

Local Optima in Mixture Modeling

It is common knowledge that mixture models are prone to arrive at locally optimal solutions. Typically, researchers are directed to utilize several random initializations to ensure that the resulting solution is adequate. However, it is unknown what factors contribute to a large number of local optima and whether these coincide with the factors that reduce the accuracy of a mixture model. A real-data illustration and a series of simulations are presented that examine the effect of a variety of data structures on the propensity of local optima and the classification quality of the resulting solution. We show that there is a moderately strong relationship between a solution that has a high proportion of local optima and one that is poorly classified.     

Bayesian PTSD-Trajectory Analysis with Informed Priors Based on a Systematic Literature Search and Expert Elicitation

There is a recent increase in interest of Bayesian analysis. However, little effort has been made thus far to directly incorporate background knowledge via the prior distribution into the analyses. This process might be especially useful in the context of latent growth mixture modeling when one or more of the latent groups are expected to be relatively small due to what we refer to as limited data. We argue that the use of Bayesian statistics has great advantages in limited data situations, but only if background knowledge can be incorporated into the analysis via prior distributions. We highlight these advantages through a data set including patients with burn injuries and analyze trajectories of posttraumatic stress symptoms using the Bayesian framework following the steps of the WAMBS-checklist. In the included example, we illustrate how to obtain background information using previous literature based on a systematic literature search and by using expert knowledge. Finally, we show how to translate this knowledge into prior distributions and we illustrate the importance of conducting a prior sensitivity analysis. Although our example is from the trauma field, the techniques we illustrate can be applied to any field.     

工作投入的短期波动

随着研究取向从静态到动态、从个体间到个体内部的转变, 工作投入的短期波动开始成为研究主流。针对国内尚未涉及工作投入波动研究的现状, 将引入状态性工作投入的概念, 并分析其波动的理论和构成来源。介绍了状态性工作投入的测量工具、日记研究和经验取样方法, 以及重复测量的多层线性模型。在分析现有工作投入波动理论、相关变量和边界条件的基础上, 构建了工作投入的研究框架, 总结了工作投入波动的形式。     

Fragile X syndrome: Neural network models of sequencing and memory

A comparative framework of memory processes in males with fragile X syndrome (FXS) and typically developing (TYP) mental age-match children is presented. Results indicate a divergence in sequencing skills, such that males with FXS recall sequences similarly to TYP children around five and a half years of age, but the males with FXS recall significantly worse when compared to TYP children around seven and a half years of age. Performance on one working memory measure, an n-back Card Task, is modeled with a neural network. To date, no network models explicate the sequencing and memory processes in those with FXS. Noise was added to various levels (weight matrices) in the FXS model and outputs approximated human FXS performance. Three models were compared: (1) FXS; (2) younger mental age-TYP matches; (3) older reading level-TYP matches. Modeling can help to reify conceptualizations of deficits and to guide in the creation of more valid, science-based remediations. The FXS model suggested that the levels of phonological representation and sequencing in memory were candidates for targeted therapies in males with FXS.     

The structure of feared social situations among individuals with a lifetime diagnosis of social anxiety disorder in two independent nationally representative mental health surveys

The present study employed both exploratory and confirmatory factor analytic approaches with nationally representative samples of individuals with a lifetime diagnosis of social anxiety disorder (n=1123; n=3091, respectively) using split-halves of the National Comorbidity Replication Survey (n=9282) and cross-validated with the Canadian Community Health Survey on Mental Health and Wellbeing (n=36,984). Strong support was found for a three-factor solution. This model was obtained from exploratory factor analysis and was further evaluated using two confirmatory factor analytic investigations in the two national samples. The three social situational domains reflected (1) Social Interaction Fears, (2) Observation Fears, and (3) Public Speaking Fears. Individuals with generalized social anxiety disorder (i.e., those who endorsed 7 or more of 13 feared social situations assessed in the survey) were significantly more likely to report Social Interaction Fears and Observation Fears compared to individuals with non-generalized social anxiety disorder (i.e., those who endorsed only 6 or fewer of 13 feared social situations). Individuals with generalized social anxiety were particularly characterized by combinations of Public Speaking Fears plus Social Interaction Fears and Observation Fears. The clinical and classification implications of our study for DSM-V are discussed.     

结构方程在心理学研究中的应用

近年来,在教育、社会及心理学等研究领域,结构方程模型(SEM,Structural Equation Modeling)已成为重要的多变量分析方法,并日益受到广大研究者的重视。本文旨在对SEM作简要概述,并讨论其在心理学研究中的应用,以及在应用过程中应该遵循的标准和需要注意的一些问题。