Integrating personality,context, relationship,and emotion type into a model of display rules

This research sets out to examine individual variations in perceptions of display rules. Based upon Mischel and Shoda’s [Mischel, W., & Shoda, Y. (1995). A cognitive-affective system theory of personality: Reconceptualizing situations, dispositions, dynamics, and invariance in personality structure. Psychological Review, 102, 246–268.] model of the Cognitive-Affective Personality System (CAPS), we proposed that extraversion and neuroticism would serve to explain within-cultural individual differences and within-individual differences in endorsement of display rules. To test this hypothesis, participants reported the expressivity level of the display rule they endorsed by responding to the revised version of the Display Rule Assessment Inventory. Multi-level analyses showed that compared to those of introverts, the display rules of extraverts tended to be more suppressive when the relationship was distant rather than close. Extraversion also enhanced a neurotic’s degree of suppression in public compared to private situations. Processes describing how personality interacts with situations in personalizing display rules were offered in light of the CAPS model to account for these interactions between personality and situation in the operation of display rules for emotional expression.     

The Pragma-Dialectical Analysis and Evaluation of Teleological Argumentation in a Legal Context

In this article the author develops a framework for a pragma-dialectical reconstruction of teleological argumentation in a legal context. Ideas taken from legal theory are integrated in a pragma-dialectical model for analyzing and evaluating argumentation, thus providing a more systematic and elaborate framework for assessing the quality of teleological arguments in a legal context. Teleological argumentation in a legal context is approached as a specific form of pragmatic argumentation. The legal criteria that are relevant for the evaluation of teleological argumentation are discussed and translated in terms of critical questions that are relevant for the evaluation of the various forms of teleological argumentation.

情绪Stroop效应与Stroop效应的关系

摘 要 本研究通过位置判断任务、图-词干扰任务和色-词干扰任务来测量Stroop效应;通过表情面孔性别判断任务、情绪词汇判定任务和情绪图片颜色命名任务来测量情绪Stroop效应;运用结构方程建模的方法对情绪Stroop效应与Stroop效应的关系进行了探讨。结果发现：（1）Stroop效应和情绪Stroop效应是显著的。（2）情绪Stroop效应与Stroop效应是两种相互独立的现象。     

分析哲学的兴趣:在哲学与生活之间--从批判理论和生活世界的视角对罗素和维特根斯坦的一个批评解读

分析哲学是有其人文和社会的兴趣与关怀的。本文试图从批判理论的视角．运用哲学与生活世界相关联的解释学方法,分别解读了分析哲学创始人之一的罗素的逻辑分析哲学与他作为一个哲学家的社会批判兴趣之间的关系,以及前期维特根斯坦的逻辑语言分析哲学和后期的日常语言分析哲学与维特根斯坦所属的生活世界的关系。指出分析哲学由于没有建立在对现代性的科学一形而上学思维方式和生活方式的足够反思基础上,所以它对形而上学的批判兴趣最终仍然导致了一种非批判的形而上学。     

Power and Sample Size Calculations for Contrast Analysis in ANCOVA

Analysis of covariance (ANCOVA) is commonly used in behavioral and educational research to reduce the error variance and improve the power of analysis of variance by adjusting the covariate effects. For planning and evaluating randomized ANCOVA designs, a simple sample-size formula has been proposed to account for the variance deflation factor in the comparison of two treatment groups. The objective of this article is to highlight an overlooked and potential problem of the exiting approximation and to provide an alternative and exact solution of power and sample size assessments for testing treatment contrasts. Numerical investigations are conducted to reveal the relative performance of the two procedures as a reliable technique to accommodate the covariate features that make ANCOVA design particularly distinctive. The described approach has important advantages over the current method in general applicability, methodological justification, and overall accuracy. To enhance the practical usefulness, computer algorithms are presented to implement the recommended power calculations and sample-size determinations.     

康德的综合和分析概念

先天综合判断如何可能的问题是康德《纯粹理性批判》的基本问题。可能性问题是先验真理问题,而综合正是回答先天综合判断真理问题的关键。本文对康德综合概念的四重含义进行了考察,它们是逻辑学的综合概念、认识论的综合概念、方法论的综合概念、存在论的综合概念。本文对相关的分析概念进行了连带的考察,但是同时指出综合概念是整个批评的基石和线索之所在。     

Les gestes en autoconfrontation croisée : enjeux et pratiques

This article aims to show how the relationship between gestures and speech can help understand mechanisms of activity's development. In situation of self-confrontation work analysis between two workers, we study more precisely the repetition of a sweep gesture made by one of the two professionals and repeated by the other one. We argue that this type of repetition highlights development of activities mechanisms. From two extracts from a cross self-confrontation, we analyze the coordination between speech and gestures. We finally show that mismatches between gestures and speech make possible to understand development of activity of these professionals in this particular context. As a conclusion, the hypothesis that this development may be one of the origins of the transformation of action in ordinary work situations is advanced.     

Power Analysis for the Likelihood-Ratio Test in Latent Markov Models: Shortcutting the Bootstrap p-Value-Based Method

The latent Markov (LM) model is a popular method for identifying distinct unobserved states and transitions between these states over time in longitudinally observed responses. The bootstrap likelihood-ratio (BLR) test yields the most rigorous test for determining the number of latent states, yet little is known about power analysis for this test. Power could be computed as the proportion of the bootstrap p values (PBP) for which the null hypothesis is rejected. This requires performing the full bootstrap procedure for a large number of samples generated from the model under the alternative hypothesis, which is computationally infeasible in most situations. This article presents a computationally feasible shortcut method for power computation for the BLR test. The shortcut method involves the following simple steps: (1) obtaining the parameters of the model under the null hypothesis, (2) constructing the empirical distributions of the likelihood ratio under the null and alternative hypotheses via Monte Carlo simulations, and (3) using these empirical distributions to compute the power. We evaluate the performance of the shortcut method by comparing it to the PBP method and, moreover, show how the shortcut method can be used for sample-size determination.     

Bayesian Latent Class Analysis Tutorial

This article is a how-to guide on Bayesian computation using Gibbs sampling, demonstrated in the context of Latent Class Analysis (LCA). It is written for students in quantitative psychology or related fields who have a working knowledge of Bayes Theorem and conditional probability and have experience in writing computer programs in the statistical language R. The overall goals are to provide an accessible and self-contained tutorial, along with a practical computation tool. We begin with how Bayesian computation is typically described in academic articles. Technical difficulties are addressed by a hypothetical, worked-out example. We show how Bayesian computation can be broken down into a series of simpler calculations, which can then be assembled together to complete a computationally more complex model. The details are described much more explicitly than what is typically available in elementary introductions to Bayesian modeling so that readers are not overwhelmed by the mathematics. Moreover, the provided computer program shows how Bayesian LCA can be implemented with relative ease. The computer program is then applied in a large, real-world data set and explained line-by-line. We outline the general steps in how to extend these considerations to other methodological applications. We conclude with suggestions for further readings.