适应性测验的发展:历史与现状

适应性测验作为一种测验形式,与传统的纸笔测验形式相比,具有省时、高效等很多优越性。测验应该适合于被试的理念最初可见于比内的智力测验。上世纪七十年代以来,适应性测验的研究从经典测量理论阶段发展到项目反应理论阶段,经历了从二阶段、三阶段、多阶段测验、固定分支测验和分层适应性测验的发展,到现在的计算机化适应性测验研究。随着项目反应理论和计算机技术的发展,计算机化适应性测验已经在教育和心理测验领域中得到广泛应用。目前对它的研究日益深入,主要有项目克隆、项目曝光、多维适应性测验、被试诊断、人格适应性测验等问题。     

从儿童道德发展初探人性本源的论题

关于人性善恶的问题一直有争议,本文从行为实验的角度对这一问题进行探讨。结果发现:3岁以前的儿童表现出人之初性本善的特征,对他人比较宽厚;3岁到4岁之间随着心理理论的增长,表现出道德水平下降,心理理论和道德水平两者之间出现交互作用。5岁以后的儿童由于心理理论的逐步完善,显现出越来越明确的“镜子行为”,即:谁对我好,我就对谁好;谁对我不好,我就对谁不好;原有的善性被外界恶性刺激掩蔽。     

小学生数学应用题解题水平影响因素的研究——视空间能力、认知方式及表征方式的影响

研究采用3(年级)×2(场认知方式)×2(视空间能力水平)×3(问题表征方式)四因素混合实验设计,探讨了这四种因素对小学生数学应用题解题水平的影响。结果表明:年级、认知方式、空间能力以及问题表征方式均是影响小学生应用题解决水平的关键因素;问题表征方式、认知方式、空间能力以及年级四个因素对小学生解题水平存在交互作用,其中图形提示有利于场依存性学生解题水平的提高,低空间-场依存型的学生更适合图形提示;高空间-场依存型的学生随年级升高解题能力发展较快,而低空间-场依存型的学生解题水平提高较慢;随着年级的升高,图式表征对小学生问题解决的促进作用增强。     

情绪启动研究的实验范式

情绪启动是探讨情绪和态度自动激活的有效方法,近期其研究范式有了较大的发展,相继产生了经典情绪启动实验、阈下情绪启动实验、向后情绪启动实验以及情绪启动与其他范式相结合的实验等较有影响的研究范式。文章分别梳理了这些范式及其研究结果,并在此基础上,总结研究所采用的范式并展望今后研究的发展趋势。     

Comparative Study of Chinese and American Media Reports on the COVID-19 and Expressions of Social Responsibility: A Critical Discourse Analysis

Journal of Psycholinguistic Research - Critical discourse analysis aims to explore the dialectical relationship between discourse and ideology. Based on psycholinguistic research, this paper...     

司法论证充分性辨析

司法论证充分性问题是一个和法学理论与司法实践都密切相关的问题,各种关于法律论证的争议是和规则治理与纠纷解决两种司法职能的互相冲撞息息相关的。什么样的法律论证才是最合适的,在法律资源有限的情况下,如何运用有限的资源达到司法实践的目的,是各国法制建设的一个永恒话题。文章试图以我国的司法情景为例,从理性思考与现实实践两个层面,展示法官在裁决中所运用的具有地方性知识性质的辅助资源具有实践合理性,说明司法论证应该也必须追求其充分性。     

Modeling Customer Loyalty from an Integrative Perspective of Self-Determination Theory and Expectation–Confirmation Theory

Purpose  This research conceptualizes and tests an integrative model of customer loyalty by linking two important theories: expectation–confirmation theory and self-determination theory. Design/Methodology/Approach  The model is examined using data obtained from 207 part-time students who have encountered the service of a skincare and beauty salon in Taiwan. These students work as full-time professionals in a variety of industries during the daytime and are financially independent for their daily consumption. Findings  The empirical results of this study indicate that loyalty is positively influenced by both intrinsic regulation and identified regulation, while introjected regulation and external regulation are insignificantly related to loyalty. Affected positively by service expectation and service confirmation, satisfaction has positive influences on all four dimensions of self-determined motivation—namely, intrinsic regulation, identified regulation, introjected regulation, and external regulation. Implications  The findings of this study show that the proposed model helps to learn about loyalty formation and its mediating mechanism in service contexts. Intrinsic regulation and identified regulation may be applied as two potential checkpoints for management to learn the actual status of customer loyalty based on a constant service quality offered by the service provider. Originality/Value  This study is one of the earliest to integrate expectation–confirmation theory and self-determination theory to explore loyalty. Besides, this study transplants the traditional application of self-determination theory from educational service to commercial service in general so that efficient strategies can be made for boosting loyalty.     

利多卡因凝胶在手术室麻醉诱导后留置尿管中的应用

分析手术室麻醉诱导后留置尿管产生尿路疼痛等不良反应的原因,探讨利多卡因凝胶在克服上述反应方面的作用及其他预防措施。采用方便取样将70例留置尿管的患者分为试验组和对照组,麻醉诱导后试验组在尿管上涂抹利多卡因凝胶（0．5ml／cm）后再按常规操作插管;对照组以石蜡油为润滑剂按常规操作留置尿管。比较两组患者心率、血压情况及躁动、疼痛评分。结果提示麻醉诱导后留置尿管可以有效减轻患者清醒状态下置管引起的尿路疼痛等问题,但不能避免患者苏醒期出现上述反应;使用利多卡因凝胶可有效预防患者苏醒期出现的尿路疼痛及其它不良反应,增加患者的舒适度。     

《管子·内业》篇道之形象化探析

<管子·内业>蕴涵有重要的哲学思想,在继承前人成果的基础上,丰富和发展了道的思想和内涵,体现为使道的思想具有形象化的特征.具体为:首先,道之气化:生生不息、大化流行.其次,道之体悟:存于心、践于行.最后,道之秩序:和谐生福.     

Identifying Variables Responsible for Data not Missing at Random

When data are not missing at random (NMAR), maximum likelihood (ML) procedure will not generate consistent parameter estimates unless the missing data mechanism is correctly modeled. Understanding NMAR mechanism in a data set would allow one to better use the ML methodology. A survey or questionnaire may contain many items; certain items may be responsible for NMAR values in other items. The paper develops statistical procedures to identify the responsible items. By comparing ML estimates (MLE), statistics are developed to test whether the MLEs are changed when excluding items. The items that cause a significant change of the MLEs are responsible for the NMAR mechanism. Normal distribution is used for obtaining the MLEs; a sandwich-type covariance matrix is used to account for distribution violations. The class of nonnormal distributions within which the procedure is valid is provided. Both saturated and structural models are considered. Effect sizes are also defined and studied. The results indicate that more missing data in a sample does not necessarily imply more significant test statistics due to smaller effect sizes. Knowing the true population means and covariances or the parameter values in structural equation models may not make things easier either. The research was supported by NSF grant DMS04-37167, the James McKeen Cattell Fund.