Subjects: Psychology >> Social Psychology submitted time 2023-03-28 Cooperative journals: 《心理科学进展》
Abstract： Shame is a typical moral emotion whose effects on prosocial behavior were not consistent in previous studies. Some studies have shown its constructive effects on prosocial behavior, while others have demonstrated its destructive effects on prosocial behavior. Thus, some factors may have a potential impact on the role of shame on prosocial behavior. In view of this, this study used the three-level meta-analysis to integrate relevant empirical studies to examine the effects of shame on prosocial behavior and the role of moderating variables in the relationship.The study was conducted according to Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P). And literature search and screening were conducted using common Chinese and international databases, including CNKI, PubMed, Web of Science, Elsevier, EBSCO, ProQuest, etc. The keywords for shame were “shame”, and for prosocial behavior were “prosocial behavior”, “helping behavior”, “altruistic behavior”, etc. By February 2022, 26 papers (20 in English and 6 in Chinese) with 85 effect sizes were included, with a total sample size of 5823 participants. The research used the metafor package in R to conduct three-level meta-analysis, which solves the problem that the effect size of traditional meta-analysis is not independent, preserves the integrity of information and improves the statistical efficiency.The results of the publication bias test indicated that there was no significant publication bias in this study. Based on the main effect test, the shame group showed much more prosocial behavior than the control group (g = 0.33), suggesting that shame can promote the generation of prosocial behavior. The heterogeneity test found significant differences in both within-study variance (levels 2) and between-study variance (levels 3), which indicates significant heterogeneity between studies. The moderating effect test revealed that shame was more likely to induce prosocial behavior in the expose situation than in the masking situation. However, the moderating effects of age, cultural background, shame-induced method, the type of shame, the type of prosocial behavior, and the generating situation of prosocial behavior (experimental situation or daily situation) were not significant, suggesting that the influence of shame on prosocial behavior has a strong stability. The study is the first to demonstrate that shame promotes prosocial behavior by using a three-level meta-analysis method, which responds to the controversy of the existing theories and research findings on the topic and provides support for the theory that shame facilitates prosocial behavior. Moreover, for the first time, cultural background, the type of shame, and generating situation of prosocial behavior were examined as moderating variables to investigate the relationship between the two, revealing the reasons for the heterogeneity of shame's influence on prosocial behavior. It provides a new perspective or theoretical interpretation of the inconsistent conclusions of the existing studies on the relationship between the two, and contributes to the theoretical construction of indigenous research on the topic. Based on the findings of this study, future explorations of this topic need to be examined combined with situational factors. Subsequent research could further investigate the influence of cognitive factors and individual characteristics in the effects of shame on prosocial behavior, and examine the different effects of shame and other moral emotions on prosocial behavior.
Subjects: Psychology >> Social Psychology submitted time 2022-11-24
Abstract：
Shame is a typical moral emotion, and its effects on prosocial behavior have been inconsistent in previous studies. In this study, a three-level meta-analysis technique was used for the first time to integrate relevant empirical studies to examine the effects of shame on prosocial behavior and the moderating variables in the relationship. Through literature search and screening, a total of 26 literatures with 85 effect sizes were included, and the total sample size was 5823 participants. The main effect test found that the shame group showed more prosocial behavior than the control group, which means shame can promote the generation of prosocial behavior. The moderating effect test showed that the moderating effect of generation situation of prosocial behavior (exposure situation or masking situation) was significant, that is, shame could promote more prosocial behavior in the exposure situation than in the masking situation. While the moderating effects of those variables including age, cultural background, shame-induced method, the type of shame, and the type of prosocial behavior were not significant. The use of three-level meta-analysis in this study ensured the integrity of the included literature information, so as to draw more comprehensive and reliable conclusions on the effects of shame on prosocial behavior and the role of moderating variables in the relationship between the two. This contributes to a deeper understanding of the relationship between shame and prosocial behavior and the moderating mechanisms. Subsequent research could further explore the role of cognitive factors and individual characteristics in the influence of shame on prosocial behavior, and investigate the differences between the effects of shame and other moral emotions on prosocial behavior.
Peer Review Status:
Awaiting Review
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-10-11 Cooperative journals: 《计算机应用研究》
Abstract： Due to the presence of irrelevant features and redundant features in the fine feature set of frequency hopping radio stations, the large amount of calculation and low recognition accuracy are existed for radio stations identification. This paper proposed an individual identification method for frequency hopping radio stations based on CMFS-MIC feature selection. Firstly, the fine feature sets of each collected signal sample of frequency hopping radio were calculated, and then using the association information entropy to measure the combination effect of the feature subsets, taking into account the features’ relationship and the redundant relationship to sort each feature in descending order. On this basis, the approximate Markov blanket method using the largest information coefficient metric is used to remove redundant and irrelevant features. This process achieves the purpose of optimizing and reducing the dimension of feature subsets. Finally, it designed a voting combination classifier to realize the identification of four frequency-hopping radio signals. Simulation results show that proposed algorithm has higher sorting recognition rate.
Subjects: Geosciences >> Hydrology submitted time 2022-06-02 Cooperative journals: 《干旱区研究》
Abstract：利用19792017年青藏高原131个气象台站实测降水资料，分别从年、季尺度对CRU、ERA5和CMFD 3种再分析降水资料在青藏高原的适用性进行了评估。结果表明：（1）CRU、ERA5、CMFD 3种数据对青藏高原年降水的模拟能力都很强，与观测值的相关系数均超过了0.9，较观测降水量值均偏大；CRU和CMFD的春季降水较为接近观测值，CMFD 夏、秋季降水与观测值最接近，3 种数据对冬季降水模拟能力均较弱。（2）从降水量分布来看，CMFD数据对青藏高原年、春季、夏季、冬季降水的分布模拟能力最好，3种数据对青藏高原秋季降水的模拟能力具有区域差异性，CRU、CMFD在青藏高原西部的降水与观测值较为接近。（3）从变化趋势来看，青藏高原年、春季、夏季、秋季降水均呈增加趋势，其中夏季增加幅度较大，冬季降水整体呈减少趋势。（4）CRU数据对青藏高原年、春季、夏季、秋季降水的变化趋势与观测值较为一致，其次为ERA5，ERA5冬季降水与观测值较为一致。（5）从偏差分析来看，CMFD数据与观测值的年、季降水偏差最小，最接近观测值。（6）3种数据与站点平均的年、季降水的时间变化序列表明，CMFD的年、春季、夏季、秋季降水与观测值的变化最为接近，其次为CRU；CMFD冬季降水较观测值最为接近，但相关系数未通过95%的显著性检验。
Hits
Hits
Downloads
Comment