Factor Indeterminacy as Metrological Uncertainty: Implications for Advancing Psychological Measurement

Researchers have long been aware of the mathematics of factor indeterminacy. Yet, while occasionally discussed, the phenomenon is mostly ignored. In metrology, the measurement discipline of the physical sciences, uncertainty – distinct from both random error (but encompassing it) and systematic error – is a crucial characteristic of any measurement. This research argues that factor indeterminacy is uncertainty. Factor indeterminacy fundamentally threatens the validity of psychometric measurement, because it blurs the linkage between a common factor and the conceptual variable that the factor represents. Acknowledging and quantifying factor indeterminacy is important for progress in reducing this component of uncertainty in measurement, and thus improving psychological measurement over time. Based on our elaborations, we offer a range of recommendations toward achieving this goal.     

Testing the properties of the triarchic model of psychopathy in a community sample: Self‐reported trait aggression and drug consumption associations

The triarchic model of psychopathy encompasses different conceptions of psychopathic personality characterized by three phenotypic components: boldness, disinhibition, and meanness. Psychopathy is a complex construct at both emotional and behavioral level. The aim of this study was to determine the core elements of psychopathic personality in a community sample and analyze the relation between these elements and other personality traits such as aggression, and certain specific behavioral manifestations such as substance use. The study sample comprised 1,159 participants aged between 17 and 74 years, who were administered the Triarchic Psychopathy Questionnaire, the Impulsive‐Premeditated Aggression Scale, and the Aggression Questionnaire. The results show that the constructs of meanness and disinhibition are more highly associated with different forms of both impulsive and premeditated aggression. Furthermore, men scored higher on all three components of the triarchic model compared to women. Finally, higher substance use (tobacco and drugs) was associated with higher scores in meanness, boldness, and disinhibition. These findings demonstrate the importance of assessing psychopathy in a community sample, and the detection of possible risk factors for the disorder.     

智慧测量三十年:两种测量范式及新发展

准确且高效地测量智慧是智慧研究的基石。自柏林智慧模式于1990年首创智慧测量法后,围绕如何测量智慧形成两种测量范式:最佳行为测量取向和典型行为测量取向。文中综述了两种测量范式的新发展、优势和不足。未来宜重点测量“德才一体”的综合心理素质和借助这一素质创造出的产品; 兼顾自我报告、行为观察和认知神经科学的方法测量智慧。     

国外有关自我伤害功能模型的研究述评

自我伤害行为是指在没有自杀动机的情况下,个体反复地改变或伤害自己的身体组织,但不具致命性。在简要对自我伤害行为界定的基础上,对目前国外较有影响力的自伤功能模型,即环境功能模型、驱力功能模型、情绪管理功能模型、边界功能模型、体验回避功能模型进行了总结。未来的研究需要进一步加强功能测量方面的探讨。     

Brief Experimental Analysis of Spanish Reading Fluency: An Exploratory Evaluation

Brief experimental analyses of reading fluency are useful for identifying effective interventions for improving reading fluency. The current study extends previous research by conducting an exploratory evaluation of brief experimental analyses of reading fluency for Spanish reading. A 10-year old Hispanic male presented with reading fluency deficits for English and Spanish reading. Brief experimental analyses of English and Spanish reading identified distinct interventions for each which increased oral reading fluency. Intervention procedures evaluated during brief experimental analyses included listening passage preview, repeated readings, and reward. Replication of analyses was conducted to examine changes in instructional need over time. For English reading, the intervention identified during the initial analysis (i.e., listening passage preview with repeated readings) was identified as the most effective when the analysis was replicated. For Spanish reading, listening passage preview was identified as the most effective intervention during the initial analysis, while repeated readings was identified as most effective when the analysis was replicated. Results are discussed in terms of future research given the exploratory nature of the current study.     

Improving Service Evaluation in Clinical Genetics: Identifying Effects of Genetic Diseases on Individuals and Families

Outcome measurement in clinical genetics is challenging. Outcome attributes used currently have been developed by service providers or adapted from measures used in other areas of healthcare. Many of the ‘patients’ in clinical genetics are healthy but at risk of developing or transmitting a condition. Usually no pharmacological or surgical treatment is offered, although information-giving is an objective of most consultations. We argue that services should be evaluated on the basis of how well they alleviate the effects of disease, from a patient perspective. This paper describes a qualitative study using seven focus groups with health professionals, patients and patient representatives. Social and emotional effects of genetics diseases were identified. Some differences emerged between the effects identified by health professionals and those identified by patients. These findings will be used to inform the evaluation of existing outcome measures and develop robust measures of outcome for clinical genetics services.     

西方社区感研究的现状与趋势

社区感指社区成员之间及其同团体之间的相互影响与归属感,通过彼此承诺而使成员需要得以满足的共同信念,并且以社区历史为基础所形成的情感联结。文章首先说明了社区感概念的形成与发展;然后着重介绍了西方在不同类型社区感、社区感影响因素及测量工具方面取得的新成果;最后展望了该领域在研究方法、研究内容和社区感能力培养方面的发展趋势     

Faulty assumptions: A comment on Blanton, Jaccard, Gonzales, and Christie (2006)

Blanton, Jaccard, Gonzales, and Christie [Blanton, H., Jaccard, J., Gonzales, P., Christie, C. (2006). Decoding the Implicit Association Test: implications for criterion prediction. Journal of Experimental Social Psychology, 42, 192-212.] assert that the Implicit Association Test (IAT) imposes a model that portrays relative preferences as the additive difference between single attitudes. This assertion is misplaced because relative preferences do not necessarily reduce to component attitudes. BJGC also assume that the IAT conditions represent two indicators of the same construct. This assumption is incorrect, and is the cause of their poor-fitting models. The IAT, like other experimental paradigms, contrasts performance between interdependent conditions, and cannot be reduced to component parts. This is true whether calculating a simple difference between conditions, or using the IAT D score. D—an individual effect size that is monotonically related to Cohen’s d—codifies the interdependency between IAT conditions. When their unjustified psychometric assumptions are replaced with plausible assumptions, the models fit their data very well, and basis for their poor-fitting models becomes clear.