A Test of Order-Constrained Hypotheses for Circular Data With Applications to Human Movement Science

Researchers studying the movements of the human body often encounter data measured in angles (e.g., angular displacements of joints). The evaluation of these circular data requires special statistical methods. The authors introduce a new test for the analysis of order-constrained hypotheses for circular data. Through this test, researchers can evaluate their expectations regarding the outcome of an experiment directly by representing their ideas in the form of a hypothesis containing inequality constraints. The resulting data analysis is generally more powerful than one using standard null hypothesis testing. Two examples of circular data from human movement science are presented to illustrate the use of the test. Results from a simulation study show that the test performs well.     

Strategy instruction for writing composition at school and at home

Abstract

The objectives of this study are 1) to analyze the effectiveness of a writing composition intervention program aimed to increase children's writing performance and other personal variables; 2) to analyze whether implementation in the environment (school and home) or responsible figures (parents and teachers) produced different effects in program effectiveness; and 3) to check whether increasing parental involvement in doing homework was sufficient to improve children's outcomes or whether prior family training is required to enable them to be efficient. The sample consisted of 112 students (5th-6th grade) and their families. 26 of them made up the EFP group (mothers implementing a writing program), 25 of them were assigned to the PAD group (mothers increasing help with writing homework), 35 to the PRO group (teachers applying a writing program) and 26 to the OC group (ordinary curriculum). We analyze the results and present and discuss our conclusions.     

Heterogeneous factor analysis models: A bayesian approach

Multilevel factor analysis models are widely used in the social sciences to account for heterogeneity in mean structures. In this paper we extend previous work on multilevel models to account for general forms of heterogeneity in confirmatory factor analysis models. We specify various models of mean and covariance heterogeneity in confirmatory factor analysis and develop Markov Chain Monte Carlo (MCMC) procedures to perform Bayesian inference, model checking, and model comparison.We test our methodology using synthetic data and data from a consumption emotion study. The results from synthetic data show that our Bayesian model perform well in recovering the true parameters and selecting the appropriate model. More importantly, the results clearly illustrate the consequences of ignoring heterogeneity. Specifically, we find that ignoring heterogeneity can lead to sign reversals of the factor covariances, inflation of factor variances and underappreciation of uncertainty in parameter estimates. The results from the emotion study show that subjects vary both in means and covariances. Thus traditional psychometric methods cannot fully capture the heterogeneity in our data.     

未来思维与问题性网络使用的关联机制:基于网络模型的分析*

缺乏未来的远见与思考是问题性网络使用（problematic internet use, PIU）发生发展的重要原因之一。而未来思维与PIU的相互作用尚不清楚。研究使用网络分析方法探讨未来思维的认知（未来情景思维、未来自我连续性和延迟折扣）、情感（预期愉悦）和个体差异成分（时间洞察力）与PIU的相互作用,并采用模拟算法识别PIU的最佳干预靶点。通过对2685名被试调查分析后发现:（1）未来思维的认知和情感成分以及未来积极洞察力与PIU呈显著负相关。（2）时间洞察力是PIU的远端因素,而未来思维的认知与情感成分在两者之间起中介作用。（3）预期清晰性是预防PIU恶化的最佳干预靶点,而未来自我生动性是促使PIU改善的最佳干预靶点。研究结果对于理解PIU的心理机制和制定干预策略具有重要意义。     

犯罪行为决策的理论与研究方法

犯罪行为是犯罪人决策的结果。犯罪行为决策研究旨在通过运用认知心理学的有关原理,说明犯罪行为实施之前的行为决策过程及影响因素,其成果能为国家制定刑事政策与犯罪预防政策等提供理论依据。犯罪行为决策的理论模型主要可分为犯罪理性模型、犯罪期望效用模型和犯罪前景理论模型。犯罪行为决策的研究方法主要采用心理物理法、过程追踪法、访谈法、投射测验法和犯罪统计法等。展望未来,应进一步探讨犯罪行为决策的理性与非理性问题,并加强对犯罪行为决策的验证性研究。     

执行功能研究方法评述

虽然对执行功能的研究长期以来都是从神经心理学角度出发的,但现在发展心理学领域中也出现了大量的研究,其研究方法也层出不穷。该文从发展心理学角度分析了研究儿童冷执行功能和热执行功能的常用方法,包括搜寻任务、规则运用任务、优势规则抑制任务、矛盾冲突任务、问题解决任务、图片工作记忆任务、心理理论任务、延迟满足任务、儿童博弈任务和反向择物。通过对这些方法的分析,作者发现,执行功能的概念已逐步扩展到包容整个认知过程,而已有的关于执行功能的观点都只强调了其中某一个或几个方面,还没有一种观点能够将上述方法所研究的执行功能概括完整。执行功能的本质还远远不能清晰地展示在我们面前。     

Algorithmic Proof Methods and Cut Elimination for Implicational Logics Part I: Modal Implication

In this work we develop goal-directed deduction methods for the implicational fragment of several modal logics. We give sound and complete procedures for strict implication of K, T, K4, S4, K5, K45, KB, KTB, S5, G and for some intuitionistic variants. In order to achieve a uniform and concise presentation, we first develop our methods in the framework of Labelled Deductive Systems [Gabbay 96]. The proof systems we present are strongly analytical and satisfy a basic property of cut admissibility. We then show that for most of the systems under consideration the labelling mechanism can be avoided by choosing an appropriate way of structuring theories. One peculiar feature of our proof systems is the use of restart rules which allow to re-ask the original goal of a deduction. In case of K, K4, S4 and G, we can eliminate such a rule, without loosing completeness. In all the other cases, by dropping such a rule, we get an intuitionistic variant of each system. The present results are part of a larger project of a goal directed proof theory for non-classical logics; the purpose of this project is to show that most implicational logics stem from slight variations of a unique deduction method, and from different ways of structuring theories. Moreover, the proof systems we present follow the logic programming style of deduction and seem promising for proof search [Gabbay and Reyle 84, Miller et al. 91].     

Shoppers in the Spiritual Supermarket: A Quantitative Study of Visitors to Scandinavia’s Largest Alternative Fair

Presenting data from a quantitative survey (N=362) at ‘The Great Alternative Fair’ in Lillestrøm, Norway, this article explores the demographic and religious profiles of the ‘customers’ in the ‘spiritual marketplace’. Many adhere to ideas that are historically associated with different religious traditions. At the same time, there are strong positive statistical correlations between belief in alternative ideas, such as healing, reincarnation, channelling, and clairvoyance. This indicates that such ideas constitute a clustered and shared set of beliefs. Against this background, the article questions the widely held assumption that people who are oriented towards alternative spiritualities are independent of institutions and authorities and it argues that they are informed to a large extent by a set of collective resources. It is suggested that the marketplace, which constitutes a common framework of interaction, plays a key role in connecting various ideas and actors and in creating a common ideological profile.     

Process, Content, and Feminist Reflexivity: One Researcher's Exploration

This article explores the unraveling of the relationship between research methodology, process, and content as revealed through my own feminist research project. I examine the evolution of my research process with one participant from a larger study, as I sought to better understand a story she told about racism. First, I address the theoretical underpinnings of feminist reflexivity and research, which challenge traditional paradigms. Next, I present the participant's (a white family day care provider's) story about racism in her practice which was revealed during an interview process. Subsequently, I present a second dialogue around the story in which we (researcher and participant) later engaged. In the process, I analyze my struggles, as a researcher trained in positivist methods, to engage in reflexive research methods. Finally, I evaluate the gains made for me as a researcher in the process and content of research conducted with a feminist reflexive frame and suggest their utility in deconstructing White racism.