融合反应时的多级评分IRT模型开发及其应用研究

当前大多数融合反应时的IRT模型仅适用于0-1评分数据资料,极大的限制了IRT反应时模型在实际中的应用。本文在传统的二级计分反应时IRT模型基础上,拟开发一种多级评分反应时模型。在层次建模框架下,分别采用拓广分部评分模型(GPCM)和对数正态模型构建融合反应时的多级评分IRT模型(本文记为JRT-GPCM),并采用全息贝叶斯MCMC算法实现新模型的参数估计。为验证新开发的JRT-GPCM模型的可行性及其在实践中的应用,本文开展了两项研究:研究1为模拟实验研究,研究2为新模型在大五人格-神经质分量表中的应用。研究1结果表明,JRT-GPCM模型的估计精度较高,且具有较好的稳健性。研究2表明,被试的潜在特质与作答速度具有一定的正相关,且本研究结果支持Ferrando和Lorenzo-Seva(2007)提出的“距离-困难度假设”,即当被试的潜在特质与项目的难度阈限距离越远,那么被试会花费更多的时间对项目进行作答。总之,本研究为拓展反应时信息在心理测量及教育中的应用提供新的方法支持。     

汉语口语句子产生的语法编码计划单元

语法编码的计划单元作为口语句子产生领域的一个重要命题,近年来备受心理语言学者的关注。本研究利用词图干扰范式下的语义效应,通过两个行为实验探讨了汉语口语句子产生中的语法编码计划单元。实验中要求被试用介词短语做主语的句子或者并列名词短语做主语的句子来命名两个竖直排列的图片,并视觉呈现干扰词。结果表明,对于两个句式而言,在第二个名词上都没有潜伏期的语义干扰效应,只有错误率上的语义干扰效应,而且这个结果并没有随着SOA(目标图片和干扰词开始呈现的时间间隔)的改变(0、150或300ms)而改变。当干扰词与图片同时呈现时(SOA=0)在并列名词短语做主语的句子中,第二个名词上出现了潜伏期的语义促进效应。这些结果说明,语法编码的说法较为宽泛,应具体描述为:词汇选择是严格递进的,而概念激活的计划单元可能是功能短语。     

School Effectiveness Findings 1979–2002

The London studies of school effectiveness in the 1970s provided evidence that the qualities of schools made a significant difference to pupil progress, after taking account of the characteristics and backgrounds of the pupils at the time of school entry. The purpose of this article is to review the further evidence that has accumulated since then in order to assess how far the findings have been confirmed or refuted, what new questions have arisen and what key challenges remain. The continuing areas of research and debate include school effects on behavioral outcomes, the effects of class size, the importance of parental involvement, the impact of intake mix, peer influences, and level of resources. There has been greater agreement on the many features fostering school effectiveness. However, questions remain on how to bring about desired changes. The paper concludes by drawing attention to 10 largely unanswered questions that matter for policy and practice.     

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.     

Review

Book reviewed in this article:
David Ray Griffin, Religion and Scientific Naturalism: Overcoming the Conflicts     

God and Evolutionary Evil: Theodicy in the Light of Darwinism

Pain, suffering, death, and extinction have been intrinsic to the process of evolution by natural selection. This leads to a real problem of evolutionary theodicy, little addressed up to now in Christian theologies of creation. The problem has ontological, teleological, and soteriological aspects. The recent literature contains efforts to dismiss, disregard, or reframe the problem. The radical proposal that God has no long–term goals for creation, but merely keeps company with its unfolding, is one way forward. An alternative strategy to tackle the problem of evolutionary theodicy is outlined, with an implication for environmental ethics and suggestions for further work.     

New Evolutionary Perspectives on Altruism: Multilevel-Selection and Costly-Signaling Theories

Social psychological theories tend to be primarily concerned with the immediate causes of altruism, whereas evolutionary explanations focus more on the origins and ultimate functions of altruistic behavior. Recent developments in the evolutionary psychology of altruism promise an even richer understanding of this important category of social behaviors. Specifically, new perspectives offered by multilevel-selection theory and costly-signaling theory may help to shed light on some of the more problematic issues in the study of altruism.     

Introduction: Attaining a New Stage

The current issue of The Journal of Adult Development addresses one of the threads of adult development, namely stage and stage change. There are four major forms of adult developmental study that can be identified: positive adult development, directionless change, stasis, and decline. The first of the four forms, positive adult developmental processes, is divided into at least six areas of study: hierarchical complexity (orders, stages), knowledge, experience, expertise, wisdom, and spirituality. The topic of this special issue, stage and stage change, is therefore part of the study of positive adult developmental processes. Finally, the manner in which these topics are studied both in this special issue and elsewhere can be characterized in terms of three broad classifications (Commons & Bresette, 2000, Commons & Miller, 1998) for the acquisition of knowledge and the verification of truth in general. These classifications include analytic, experiential, and empirical means to reach truth.     

Increasing Behavioral Skills and Level of Understanding in Adults: A Brief Method Integrating Dennison's Brain Gym & #x00AE; Balance with Piaget's Reflective Processes

A single session intervention was given individually to 4 adults in order to assist them in achieving their personal goals by improving their behavioral skills for achieving the goals and their conceptual understanding of & #x201C;how to & #x201D; attain these goals. The method was based on a brain-ability analysis of understanding & #x201C;conservation & #x201D; on Jean Piaget's conservation tasks combined with Paul and Gail Dennison's Brain Gym & #x201C;balance & #x201D; procedure. My & #x201C;whole brain understanding & #x201D; model (C. A. Wolfsont, 1999, 2000) and M. L. Commons et al.'s Hierarchical Complexity Scoring System manual were used to analyze the verbal protocols (M. L. Commons et al., 1992; Commons, Danaher, & Meaney, 2000). Increases were found in the participants' conceptual understanding and in the complexity of their performance.     

Learning Psychoanalysis: A Classification Based on Students' Learning Trajectories

This study was undertaken in an effort to sharpen selection procedures and improve faculty response to the learning needs of students. Eschewing a traditional anticipatory approach in determining suitability for training, the authors undertook a retrospective study to investigate the learning trajectories of candidates. A learning trajectory is defined as the particular way individuals learn, or fail to learn, as they advance through an Institute's training program. The database of this study grew out of the authors' experience with students in classrooms, in supervision, and from discussions about them in Progression, Selection, and The Evaluation of Learning committees. Realizing the reductionism of categorizing a highly complex and diverse group of individuals, the authors, nonetheless, found that candidates tended to group into five rather distinct categories. This paper discusses in detail the characteristics of these five categories and suggests ways in which this grouping may help in both selection and in planning more effective training for candidates. The authors are fully aware that this study has impressionistic qualities and warrants more rigorous research methods, but hope that it will arouse interest in other psychoanalytic centers and stimulate studies to corroborate, refine, or reject the conclusions reached by this group.