解读不显著结果：基于500个实证研究的量化分析

不显著结果(如, p > 0.05)在心理学研究中十分常见, 且容易被误解为接受零假设的证据, 并可能导致分组匹配研究的错误推断或者忽视被小样本的不显著结果掩盖的真实效应。但国内目前尚无实证研究对不显著结果的普遍性及其解读进行调查。本研究调查500篇中文心理学实证研究, 统计其摘要中出现与不显著结果相关的阴性陈述的频率, 判断并统计基于阴性陈述的推断准确性, 并使用贝叶斯因子对不显著结果中包含t值的研究进行重新评估。结果表明, 36%的摘要提及不显著结果, 共包含236个阴性陈述。其中, 41%的阴性陈述对不显著结果的解读出现偏差(如, 解读为支持了零假设)。对包含t值的研究进行贝叶斯因子分析, 结果显示仅有5.1%的不显著结果可以提供强证据支持零假设(BF₀₁ > 10)。与先前对国际心理学期刊的调查结果相比(32%的摘要包含阴性陈述; 72%的阴性陈述对不显著结果的解读错误), 中文心理学期刊中报告不显著结果的比例更高, 且对不显著结果解读错误的比例更低。但国内研究者仍需进一步加强对不显著结果的认识, 推广适于评估不显著结果的统计方法。     

混合情绪能促进心理健康吗？

摘 要 积极和消极情绪的同时体验,即混合情绪,是生活中常见的情绪状态。健康应对的共激活模型、情绪动态模型和积极比模型一致认为混合情绪与心理健康之间呈现非线性的关系,适当的混合情绪有利于个体在困境中全面加工和整合信息,寻求意义,获得控制感,进而实现健康应对和心理症状改善,获得幸福感。未来研究应关注对非线性关系的精确描述;低压力或非压力情境下混合情绪的意义;进一步研究混合情绪促进心理健康的内部机制和影响因素。     

中国军事伦理学研究综述

本文分别从理论与实践的结合上对中国军事伦理学学科建设与发展的基础理论研究、规范体系研究和教育应用研究进行了全景式、多层面的梳理,循此而提纲挈领地把握当代军事伦理学科的发展脉络和丰富内容,在此基础上对国防军事伦理的研究热点进行了前瞻式的描述,并揭示了其广阔的发展前景。     

阴阳家邹衍的"天人合一"思想--"阴阳"是开启"五行"的钥匙

邹衍在稷下学宫创建了阴阳五行学派,邹衍的主要思想,反映了阴阳家试图对自然界和人类社会作为一个统一体而做出解释。     

“A Mosaic Community Together in the Journey of Faith”

This article demonstrates how missional churches have emphasized accompaniment as missiological foundation in the COVID-19 pandemic season. Employing ethnographical method, interviews, and virtual church visits as the primary approach, the paper explores how NextGen Church as the embodiment of Christ’s love has moved communities to solidarity and unity in the middle of global suffering. It concludes that God is on the mission of love and that the pandemic has provided an opportunity for the church to enhance its participation in missio Dei by epitomizing Christ’s love.     

不同注意对视觉工作记忆外部特征绑定的影响

采用变化觉察范式,在工作记忆保持阶段插入客体特征辨别或视觉搜索次任务,探讨基于客体的注意和基于空间的注意对视觉工作记忆外部特征绑定表征的影响。结果发现,与单特征相比,两类次任务均对外部特征绑定的记忆成绩损耗更大。这表明视觉工作记忆中外部特征绑定的表征比单特征消耗更多基于客体的注意和更多基于空间的注意。     

社会比较对大学生抑郁的影响:有调节的中介效应

探讨社会比较对大学生抑郁的影响机制,采用社会比较倾向量表、物质主义价值观量表、正念注意觉知量表和抑郁问卷,对980名大学生进行了调查研究。结果表明:1.社会比较和物质主义价值观都显著正向预测了大学生抑郁; 2.物质主义价值观在社会比较对大学生抑郁的影响中起部分中介作用; 3.正念在社会比较通过物质主义价值观对大学生抑郁产生影响的中介过程中起调节作用,正念调节了中介过程的后半路径。因此,在社会比较对大学生抑郁的影响过程中,物质主义价值观起到了部分中介作用,正念起到了调节作用。     

What do you think I think you think?: Strategic reasoning in matrix games

In reasoning about strategic interpersonal situations, such as in playing games, an individual's representation of the situation often includes not only information about the goals and rules of the game, but also a mental model of other minds. Often such mental models involve a hierarchy of reflexive reasoning commonly employed in social situations ("What do you think I think you think..."), and may be related to the developmental notion of 'theory of mind'. In two experiments, the authors formally investigate such interpersonal recursive reasoning in college-age adults within the context of matrix games. Participants are asked to predict the moves of another player (experimenter's confederate) in a two-choice, sequential-move game that may terminate at various stages with different payoffs for each player. Participants are also asked to decide optimally on their own moves based on the prediction made. Errors concerning the prediction, or translation of those predictions into decisions about one's action, were recorded. Results demonstrate the existence of a "default" mental model about the other player in the game context that is dynamically modified as new evidence is accumulated. Predictions about this other player's behavior are, in general, used consistently in decision-making, though the opponent tends to be modeled, by default, to behave in a myopic fashion not anticipating the participant's own action.     

Object location memory: The interplay of multiple representations

This article reports three experiments in which the representational nature of human object location memory was studied. The results show that multiple frames of reference can be used to encode the spatial relationships among objects. Depending on their dominancy, availability, and validity, these multiple representations interact to determine memory performance. Specifically, representations that are automatically encoded and extensively practiced are more dominant, and their availability improves performance when they are valid. On the other hand, when the dominant representations are available but invalid, people may have to resort to the less dominant representations. As a result, the availability of these dominant but invalid representations can actually hurt performance, due to interference. If these interfering representations are eliminated, the performance is again improved. The implications of these findings for general human spatial cognition are discussed.     

An introduction to Bayesian hierarchical models with an application in the theory of signal detection

Although many nonlinear models of cognition have been proposed in the past 50 years, there has been little consideration of corresponding statistical techniques for their analysis. In analyses with nonlinear models, unmodeled variability from the selection of items or participants may lead to asymptotically biased estimation. This asymptotic bias, in turn, renders inference problematic. We show, for example, that a signal detection analysis of recognition memory data leads to asymptotic underestimation of sensitivity. To eliminate asymptotic bias, we advocate hierarchical models in which participant variability, item variability, and measurement error are modeled simultaneously. By accounting for multiple sources of variability, hierarchical models yield consistent and accurate estimates of participant and item effects in recognition memory. This article is written in tutorial format; we provide an introduction to Bayesian statistics, hierarchical modeling, and Markov chain Monte Carlo computational techniques.