Q‐sort methodology: Bridging the divide between qualitative and quantitative. An introduction to an innovative method for psychotherapy research

Q‐methodology offers unique opportunities for counselling and psychotherapy researchers and clinicians. It is an innovative technique capable of bridging the divide between clinical knowledge and the quantitative systematisation of it. It was initially developed by Stephenson as a data collection and data analytic method to empirically study human subjectivity. It was then extended by the British School to study shared viewpoints, thereby adopting a multi‐participant design and a highly unusual form of qualitative analysis. Finally, it was adapted by the Californian School for use as a standardised observer‐rated assessment tool. Its attractiveness stems from its aptitude to produce holistic data as it collects both quantitative and narrative data. This paper will provide an introduction to Q‐statistics and Q‐methodology (person‐centred) by contrasting it to R‐statistics and R‐methodology (variable‐centred). It will then provide an overview of the three schools of Q‐methodology and their various merits demonstrated with an example.     

结构方程建模中的题目打包策略

结构方程建模中题目打包法的优缺点包括：指标数据质量变好、模型拟合程度提高; 估计偏差不大, 可校正; 估计稳定, 但降低了敏感性与可证伪性。打包法的前提条件是单维、同质, 适合结构模型分析, 不适合测量模型分析。对于单维测验, 给出了一个打包流程。对于通常的多个子量表(多维结构)测验, 推荐在子量表内打包, 每个子量表打包成1个指标或者3个指标, 用于结构方程建模。     

Assessment and treatment of low-rate high-intensity problem behavior.

Functional analysis of low‐rate aggression was conducted during extended observation periods and showed behavior to be maintained by positive reinforcement. Treatment consisted of variable‐momentary differential reinforcement of other behavior and was successful in reducing problem behavior throughout these extended observation periods.     

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。