应对量表(COPE)测评维度结构研究

该文旨在对应对量表(COPE)的测评维度结构进行进一步的鉴别分析和验证研究。研究一对736名大学生的应对量表中文修订本(C-COPE)测评数据进行探索性二阶因素分析;研究二根据已有研究关于应对量表测评维度组构模式的不同结论,以及研究一的结果,提出十个假设模型,采用验证性因素分析测试这些模型与另一大学生样本(N：465)测评数据的拟合度。研究结果支持C-COPE八因子斜交模型。该量表如何进一步修订也在文中予以讨论。     

工作分析的工具及其选择策略

政治、经济和科学技术的急剧变化与发展对工作的性质产生了重大的影响.本文以工作性质的变迁为背景,结合文献深入探讨了工作分析诸工具的特点和效能,并就工作分析工具的选择问题提出了考虑信息的最终用途、考虑选定方法的成本效益、确保信息的可靠性与可接受性、定期回顾与适时更新以及综合应用与扬长避短等5项建议.     

A Statistical Interpretive Method for Neuropsychological Test Data

The accurate interpretation of large numbers of neuropsychological tests within a flexible battery approach is a difficult and sometimes controversial process. We present a statistically based method of interpretation (Rohling's Interpretive Method or RIM) and evaluation of neuropsychological data that allows for varying numbers of tests along a varying number of cognitive domains, yet remains psychometrically based. This method requires informed clinical judgment in that the level of confidence for tests, cognitive domains, and global indices are used as the backdrop for interpretive decisions. Specific procedures for use are presented in a systematic, detailed fashion to allow the interested reader to replicate the method. Two case examples are presented: a straightforward case of cerebrovascular insult and a more complicated case of mixed etiology. Examples include a variety of different neuropsychological tests commonly used in a flexible battery approach. A discussion of the practicality, ease of use, and potential limitations of this method are further presented.     

Functional analysis and treatment of self-injury associated with transitions.

We applied functional analysis methodology to the assessment and treatment of 2 individuals' self‐injurious behavior (SIB), which was reported to be occasioned by transitions from one activity or location to another. A structural (task) analysis of activity transitions identified at least three separate components that might influence behavior either alone or in combination: (a) termination of a prechange activity, (b) initiation of a postchange activity, and (c) movement from one location to another. Results of preference and avoidance assessments were used to identify activities to which participants were exposed in varying arrangements during transitions in a functional analysis. Results of 1 participant's functional analysis indicated that his SIB was maintained by avoidance of having to change locations, regardless of the activity terminated prior to the change or the activity initiated following it. The 2nd participant's analysis revealed the same function but also an additional one: avoidance of certain task initiations. This information was used to identify transition contexts during intervention and to design treatment procedures appropriate for a given context and behavioral function. A procedure involving advance notice of an upcoming transition had no effect on SIB, and differential reinforcement of alternative behavior (DRA) had limited effects in the absence of extinction. Sustained decreases in SIB were observed when DRA was combined with extinction and response blocking. Further extensions of functional analysis methodology to the assessment of problem behavior in situations characterized by multiple or protracted stimulus changes are discussed.     

A method for analyzing changes in response efficiency.

Although experimental effects typically are evaluated by summarizing levels of responding across time (e.g., calculating the mean levels of problem behavior during 10‐min sessions), these data summaries may obscure important mechanisms that may be responsible for changes in responding. A case study is reported to illustrate alternative methods of data analysis when decreasing trends in responding may be due to increases in response efficiency.     

A variable-selection heuristic for K-means clustering

One of the most vexing problems in cluster analysis is the selection and/or weighting of variables in order to include those that truly define cluster structure, while eliminating those that might mask such structure. This paper presents a variable-selection heuristic for nonhierarchical (K-means) cluster analysis based on the adjusted Rand index for measuring cluster recovery. The heuristic was subjected to Monte Carlo testing across more than 2200 datasets with known cluster structure. The results indicate the heuristic is extremely effective at eliminating masking variables. A cluster analysis of real-world financial services data revealed that using the variable-selection heuristic prior to the K-means algorithm resulted in greater cluster stability.     

幽默平面广告的适用性研究

为了探讨哪一类别商品的平面广告更适合于采用幽默的诉求方式,研究随机选取160大学生为被试,以16则改编平面广告为实验材料,以广告类型（幽默,非幽默）、商品类别为自变量,以广告评价、广告顺序为协变量,以商品的印象程度、喜爱程度、购买意向为因变量,进行平衡设计实验。结果表明,幽默广告具有较好广告效果,可以提高受众对大宗工具、小奖赏和小工具型商品的记忆;幽默平面广告更适用于低风险、功能性商品,不适用于高风险、享乐性商品。     

两水平研究中单维测验信度的估计

在心理、教育和管理等研究领域中,经常会碰到两水平（两层）的数据结构,如学生嵌套在班级中,员工嵌套在企业中。在两水平研究中,被试通常不是独立的,如果直接用单水平信度公式进行估计,会高估测验信度。文献上已有研究讨论如何更准确地估计两水平研究中单维测验的信度。本研究指出了现有的估计公式的不足之处,用两水平验证性因子分析推导出一个新的信度公式,举例演示如何计算,并给出简单的计算程序。     

关系研究的新取向：社会网络分析

社会网络分析（Social Network Analysis, SNA）是用社会实体之间的关系来描述、解释和预测社会现象的一种研究取向。SNA提供了深入探究社会环境特征及其对个体心理发展影响的一种方法。本文基于SNA的发展历程,依次介绍了中心性分析、小团体分析、位置分析、QAP以及统计模型法。SNA在社会学研究中得到了较多应用,近年来在心理学研究中开始受到重视。