Lots to Do or Lots of Ways to Do It? The Role of Mood and Mind‐set on Goal Motivation

This research explores how mood interacts with outcome and implemental mind‐sets to influence motivation to work toward a goal. We propose and demonstrate that being in a positive (vs. neutral) mood increases motivation for those in an outcome mind‐set. Conversely, being in a positive (vs. neutral) mood decreases motivation for those in an implemental mind‐set. We argue that the reason for this is rooted in the role of positive mood on the number of available goal attainment means: Positive (vs. neutral) mood was found to increase the number of accessible goal attainment activities. For those in an outcome mind‐set, the increased number of goal attainment activities increases motivation because more activities are perceived as more available opportunities or strategies that may aid in successful goal attainment. For those in an implemental mind‐set, where one considers detailed steps and processes required for goal completion, motivation is decreased, because availability of more activities increases perceived difficulty of goal execution. Five studies support these hypotheses, showing differences in available activities depending on mood, differences in perceptions of those activities depending on mind‐set, and differences in motivation depending on the interaction of mood and mind‐set.     

群组成员行动目标的一致性对群体实体性的影响:动作形式一致性的调节作用

群体被视为一个有机整体的特性被称为群体实体性。研究从行为的行动目标和动作形式两个特征维度出发,探讨了行动目标一致性和动作形式一致性如何共同作用于群体实体性。结果发现,在不同群体规模下,群体成员具有一致目标的群体实体性均高于不一致条件,但只有当行为发生在群体情景且符合合理性原则时,动作形式一致性对该影响关系才起到调节作用。该结果表明,只有当行为发生在群体情景且符合合理性原则时,行动目标和动作形式才联合作用于群体实体性。     

对医学技术的控制何以可能——兼谈应对医学技术主体化的策略

医学科技的价值负载、医学技术的主体化趋势以及医学技术应用的不确定性要求人们必须对医学科技的发展进行控制,技术控制主义思潮为此提供了可资借鉴的宝贵思想资源;而技术的社会形成论与技术独立性的限度确证了对技术进行控制的可能性。对医学技术进行控制主要有技术手段和社会手段,采取技术手段必须防止盲目乐观主义陷阱;采取社会手段则必须妥善应对斯诺难题,实现医学技术和医学人文的有机融合。同时,要充分发挥政府调控在医学技术控制中的作用。     

如何唤起和缓解重大损失情绪—— 来自行为和脑成像的证据

本研究在没有真实伤害的情况下研究重大损失情绪及相应的脑机制。通过一系列行为和脑成像实验, 研究者们摸索出了可靠诱发重大损失情绪的范式, 并从对比效应和金钱补偿角度初步探讨了缓解这种情绪的方法。研究发现, 由于自我防御机制的存在, 抑制了被迫接受条件下重大损失情绪的唤起, 但却成功唤起了被迫选择条件下重大损失的情绪。此外, 研究还发现, 金钱补偿和对比效应都是缓解重大损失情绪的有效策略。本研究不仅有利于认识重大损失情绪的信息加工机制, 而且也为涉及重大损失情绪的心理咨询和保险理赔制度等提供了行为和脑成像证据。     

CAN NATURE TRULY BE OUR FRIEND?

Abstract. The question of whether nature can embody love or be considered in this sense as "friend" is a thorny problem for Christian theology. The doctrines of finitude and sin argue against nature as a realm of love, whereas the doctrine of creation out of nothing, which links God and the creation so forcefully, would seem to argue for such a view of nature. This paper explores the thesis that Western culture has not offered a concept of nature rich enough to allow for an understanding of it as a domain of gracious-ness. From pre-Socratic times through the Enlightenment and the rise of modern science, nature was conceived of as a realm of defect or lacking in creative possibilities. Christian theology has consistently spoken of nature in terms that defy the limitations of the authorized views proposed by the ambient Western cultures. The present times, under the influence of the sciences, have furnished for the first time an authorized concept of nature that is large enough and dynamic enough to entertain the dimension of grace. Consequently, ours is a time of great promise for developing a more adequate theology of nature.     

Robust and powerful nonorthogonal analyses

Numerous types of analyses for factorial designs having unequal cell frequencies have been discussed in the literature. These analyses test either weighted or unweighted marginal means which, in turn, correspond to different model comparisons. Previous research has indicated, however, that these analyses result in biased (liberal or conservative) tests when cell variances are heterogeneous. We show how to obtain a generally robust and powerful analysis with any of the recommended nonorthogonal solutions by adapting a modification of the Welch-James procedure for comparing means when population variances are heterogeneous.This research was supported by a Social Sciences and Humanities Research Council (SSHRC) grant (# 410-92-0430) to the first author, a Manitoba Health Research Council Scholar Award and a grant from Natural Sciences and Engineering Research Council to the second author, and a SSHRC Doctoral Fellowship (# 752-92-1628) to the third author. The authors would like to express their gratitude to Joanne Keselman and three anonymous reviewers for their many helpful substantive comments on earlier drafts of this paper.     

Standard errors of fit indices using residuals in structural equation modeling

The asymptotic standard errors of the correlation residuals and Bentler's standardized residuals in covariance structures are derived based on the asymptotic covariance matrix of raw covariance residuals. Using these results, approximations of the asymptotic standard errors of the root mean square residuals for unstandardized or standardized residuals are derived by the delta method. Further, in mean structures, approximations of the asymptotic standard errors of residuals, standardized residuals and their summary statistics are derived in a similar manner. Simulations are carried out, which show that the asymptotic standard errors of the various types of residuals and the root mean square residuals in covariance, correlation and mean structures are close to actual ones.The author is indebted to the reviewers for their comments and suggestions which have led to an improvement of this work.     

Effect size, power, and sample size determination for structured means modeling and mimic approaches to between-groups hypothesis testing of means on a single latent construct

While effect size estimates, post hoc power estimates, and a priori sample size determination are becoming a routine part of univariate analyses involving measured variables (e.g., ANOVA), such measures and methods have not been articulated for analyses involving latent means. The current article presents standardized effect size measures for latent mean differences inferred from both structured means modeling and MIMIC approaches to hypothesis testing about differences among means on a single latent construct. These measures are then related to post hoc power analysis, a priori sample size determination, and a relevant measure of construct reliability.I wish to convey my appreciation to the reviewers and Associate Editor, whose suggestions extended and strengthened the article's content immensely, and to Ralph Mueller of The George Washington University for enhancing the clarity of its presentation.