潜变量交互效应建模: 告别均值结构

潜变量交互效应建模研究近年来有了长足的发展, 但模型中被认为不可缺少的均值结构往往让实际应用工作者却步。本文首先分析了潜变量交互效应模型中均值结构产生的根源; 然后讨论了指标变换与均值结构的关系; 接着提出了一个均值为零的潜变量交互结构, 所建立的模型不需要均值结构, 却不会改变主效应和交互效应等参数; 最后用模拟例子对无均值结构和有均值结构的两种模型的参数估计进行了比较, 结果符合理论预期, 困扰人们多年的均值结构问题从此可以终结。     

The Augustinian methodological family of psychology

In his Investigations, Wittgenstein employed a quotation from Augustine to capture certain of the essential features of an incoherent conception of language that he believed was at root of many of the dominant theories of meaning of his day. It is argued in the current paper that this very same Augustinian conception of language (ACL) is the foundation of some of the most influential methodological orientations of present-day psychological science, and, as a result, these orientations suffer from a range of ACL-induced incoherences. This thesis is illustrated by way of a case study drawn from the construct validation literature.     

社会支持对抑郁影响的中介模型探讨

本研究旨在探索预先应对和积极情绪在社会支持和抑郁间的中介作用。采用两个时间点的纵向数据搜集方式对181名大学生施以量表,然后通过路径分析对假设的中介模型进行拟合度检验,结果表明：（1）预先应对是社会支持和积极情绪之间的部分中介变量;（2）积极情绪是社会支持和预先应对与抑郁间的中介变量。结论：社会支持是预防抑郁的重要途径,提升预先应对策略和积极情绪的体验可以进一步增进社会支持对抑郁的缓解作用。     

类别变量的中介效应分析

在心理学和其他社科研究领域,研究者能熟练地进行连续变量的中介效应分析,但面对自变量、中介变量或(和)因变量为类别变量的中介效应分析,研究者往往束手无策。在阐述类别自变量中介分析方法的基础上,我们建议使用整体和相对中介相结合的类别自变量中介分析方法,并给出了分析流程。以二分因变量为例,讨论了中介变量或(和)因变量为类别变量的中介分析方法的发展过程(即尺度统一的过程),建议通过检验Za×Zb的显著性来判断中介效应的显著性。用二个实际例子演示如何进行类别变量的中介效应分析。最后展望了类别变量的中介效应分析研究的拓展方向。     

潜变量交互效应建模方法演变与简化

综述了近年来加入乘积指标的潜变量交互效应建模方法, 从产生乘积指标的策略、参数约束方法、均值结构与指标中心化的关系三个方面, 讨论了建模方法的简化进程。最后总结出同类方法中比较简洁又不失精确的潜变量交互效应建模方法—— 无需均值结构的无约束方法, 并给出了建模 步骤。     

青少年人格、人口学变量与主观幸福感的关系模型

采用分层随机抽样的方法,抽取了379名中学生和大学生样本,在多元相关分析的基础上,结合文献分析,采用结构方程建模技术,探讨了我国青少年学生人口学变量、人格维度和主观幸福感(SWB)的结构关系。结果表明,人口学变量中的年级和经济状况变量既与SWB有直接的关系,又通过大五人格中的神经质维度或外倾性维度对SWB有间接的效应,其中,经济状况对主观幸福感的正面效应较大,而性别和城乡变量则仅通过神经质和外倾性对SWB有微弱的间接效应;大五人格维度中,宜人性与SWB没有显著关系,开放性和严谨性通过神经质或外倾性与SWB存在间接效应,神经质和外倾性则对SWB有较强的直接预测力;结构方程模型验证了人格、人口学变量与SWB的这种关系。     

初中生诚实性测验中社会赞许反应研究

运用马洛-克罗恩社会赞许量表(MCSD)和儿童社会期望量表(CSD),采用3×3设计,测查了高、中、低三类赞许动机水平的246名初中生在高、中、低三种不同赞许情境下完成诚实性测验的差异,以考察社会赞许性反应。结果显示低赞许动机被试比高赞许动机被试整体上更诚实,他们在三种情境下的诚实性行为差异不显著;高赞许动机水平被试在三种赞许情境下诚实性行为差异显著。说明前者更多依从自己内部判断,后者更多依从外界评价。     

两类常见的类别变量调节效应分析

类别变量在心理学和其他社科研究领域经常遇到,当自变量或调节变量为类别变量时,应当如何分析调节效应呢？详述了多类别变量的被试间设计和两水平被试内设计（因变量重复测量2次）的调节效应分析方法,并给出了分析流程。先进行调节效应的显著性检验,后用选点法或Johnson-Neyman法进行简单斜率检验。多类别变量被试间设计的简单斜率检验是先进行整体检验,后进行配对检验。用两个实际例子演示如何进行类别变量的调节效应分析,最后展望了两类设计的类别变量调节研究的拓展方向,例如更复杂的类别变量的调节模型等。     

Lessons learned from pedestrian-driver communication and yielding patterns

Understanding the hidden patterns of tacit communication between drivers and pedestrians is crucial for improving pedestrian safety. However, this type of communication is a result of the psychological processes of both pedestrians and drivers, which are very difficult to understand thoroughly. This study utilizes a naturalistic field study dataset and explores the hidden patterns from successful and failed communication events using a pattern recognition method known as Taxicab Correspondence Analysis (TCA). The successful communication scenarios indicate the combinations of variable attributes such as eye contact, facial expression, the assertion of crossing, and effective traffic control devices are strongly associated with successful scenarios. The patterns for failed scenarios are most likely to be on the roadway with a relatively higher speed limit (e.g., 35 mph) and a relatively lower speed limit (e.g., 15 mph) under different conditions. On roadways with a higher speed limit, the failed scenarios are highly associated with passive and undecisive pedestrians, pedestrians far away from the crosswalk, regardless of pedestrian-driver eye contact and facial expression of the pedestrians. Instead of waiting for pedestrians to making a crossing decision, overspeeding drivers are more likely to speed up and pass the crosswalk. On roadways with a lower speed limit, the failed scenarios are often associated with distracted pedestrians, vehicles having the right of way, and the absence of effective traffic control devices. These findings could help transportation agencies identify appropriate countermeasures to reduce pedestrian crashes. The findings on driver-pedestrian communication patterns could provide scopes for improvement in computer vision-based algorithms designed for autonomous vehicle industries.