Measuring pain: an introspective look at introspection

The measurement of pain depends upon subjective reports, but we know very little about how research subjects or pain patients produce self-reported judgments. Representationalist assumptions dominate the field of pain research and lead to the critical conjecture that the person in pain examines the contents of consciousness before making a report about the sensory or affective magnitude of pain experience as well as about its nature. Most studies to date have investigated what Fechner termed "outer psychophysics": the relationship between characteristics of an external stimulus and the magnitude and nature of pain experience. In contrast, Fechner originally envisioned that "inner psychophysics" should investigate the relationship between physiological states and subjective experience. Despite the lack of established research tradition, inner psychophysics has a potential utility in elucidating underlying mechanisms for the production of phenomenal self-report. We illustrate this, using causal modeling analyses of the accuracy of self-reported pain ratings from our laboratory. We submit that the results are inconsistent with representationalist assumptions. Converging trends from several domains of consciousness studies seem to suggest that we need to abandon the unquestioned doctrine of representationalism and search for a more viable framework for understanding the generation of subjective self-report.     

消费者厌腻感的生成机理、诱发因素及缓解策略

厌腻感是指消费者对连续或过量消费同一产品或服务的效用感、享乐感或满意度下降, 负面感知逐步抑制正面感知的主观情绪体验。为缓解或防止厌腻感的产生, 消费者会采取品牌转换、多样化寻求、控制消费周期等行为, 因此厌腻感已成为企业或店铺培养顾客忠诚的主要障碍。国外文献分别从厌腻感的生成过程、功能反应、知觉状态和属性感知等方面, 划分厌腻类型; 剖析了厌腻感生成的享乐适应、边际效用递减、认知失调以及最佳刺激水平等理论原理及机理; 探讨了生理厌腻感和心理厌腻感生成的诱发因素及影响效应; 验证了外部因素和个体因素的调节作用; 同时探讨了消费者缓解或防止厌腻感的主要策略及行为反应。最后对现有文献的研究思路、特点和不足进行了评述, 提出了未来研究方向。     

The Assessment of Goal Commitment: A Measurement Model Meta-Analysis

Goals are central to current treatments of work motivation, and goal commitment is a critical construct in understanding the relationship between goals and performance. Inconsistency in the measurement of goal commitment hindered early research in this area but the nine-item, self-report scale developed by Hollenbeck, Williams, and Klein (1989b), and derivatives of that scale, have become the most commonly used measures of goal commitment. Despite this convergence, a few authors, based on small sample studies, have raised questions about the dimensionality of this measure. To address the conflicting recommendations in the literature regarding what items to use in assessing goal commitment, the current study combines the results of 17 independent samples and 2918 subjects to provide a more conclusive assessment by combining meta-analytic and multisample confirmatory factor analytic techniques. This effort reflects the first combined use of these techniques to test a measurement model and allowed for the creation of a database substantially larger than that of previously factor analyzed samples containing these scale items. By mitigating sampling error, the results clarified a number of debated issues that have arisen out of previous small sample factor analyses and revealed a five-item scale that is unidimensional and equivalent across measurement timing, goal origin, and task complexity. It is recommended that this five-item scale be used in future research assessing goal commitment. Copyright 2001 Academic Press.     

阅读中自然学习生词的实验研究

本研究对儿童阅读时从语境中自然学习生词的过程及其多个影响因素进行了探讨。301名三、五年级小学生参加了实验。首先要求他们阅读文章,然后测验他们对文章中生词的知识。本研究在不同年级和能力的儿童中都发现了显著的自然学习效应。结果还表明,词的概念难度、词结构的语义透明度、语境线索强度和儿童课外阅读量对儿童的自然学习有重要影响。     

Ethnic Differences in Grade Trajectories During the Transition to Junior High

The transition from elementary to junior high school is difficult for some children, as indicated by a drop in grades in the new school setting from the beginning to end of the year. Finer-grain analysis of grade trajectories in the first year of junior high may reflect important differences among groups. In the present study, variables predicting linear and quadratic grade trajectories over the seventh grade were examined using a structural equation model (SEM, AMOS-4) and curve estimation procedures. Participants were 214 boys and 259 girls entering junior high (52% Anglo, 36% Hispanics, primarily of Mexican descent, and 12% Blacks). Three trajectory patterns were observed: “sliders,” students who showed a fairly steady grade decline over the year (characteristic of Anglos), “steadies,” students who varied little over the year (characteristic of Blacks), and “rebounders,” students whose grades dropped to a minimum in the fourth 6-week period, then showed limited recovery (characteristic of Hispanics). In the SEM, a lower intercept (representing the average of sixth grade grades) was associated with minority ethnic/racial status (Hispanic or Black), using more emotional discharge to cope, having a lower percentage of adults in the support network, poorer family functioning, and greater depression. Being Black was associated with a positive path coefficient to the linear slope of the grade trajectory, while a negative path coefficient was associated with using more emotional discharge in coping. The quadratic element (drop in grades with some recovery) was more pronounced for Hispanic participants, less pronounced for Black participants, and more pronounced when poorer family functioning was reported. Curve estimation procedures confirmed these ethnic/racial group differences. Reasons for such differences and their implications for schools and families are discussed.     

Computation and Causation

The computer's effect on our understanding of causation has been enormous. By the mid-1980s, philosophical and social-scientific work on the topic had left us with (1) no reasonable reductive account of causation and (2) a class of statistical causal models tied to linear regression. At this time, computer scientists were attacking the problem of equipping robots with models of the external that included probabilistic portrayals of uncertainty. To solve the problem of efficiently storing such knowledge, they introduced Bayes Networks and directed graphs. By attaching a causal interpretation to Bayes Networks, the philosophy of causation changed dramatically. We are now able to be extremely general about how causal structure connects to data, and systematic about when causal structures are empirically indistinguishable. In this essay I try to motivate and describe this synthesis.