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Social Identity Theory and It’s Development Zhang Yingrui,  Zuo Bin null    2006, 14 (03): 475-480.   Abstract （4728）            Knowledge map    Social identity theory, developed by Tajfel and Turner et al.，which made new explanations to the group behavior， has become the most influential theory in the field of intergroup relation. The social identity theory developed from the explanations for intergroup behavior, it proposed that group identity is the fundamental cause of intergroup behavior. Recent research provides much evidence for the theory, The social identity theory is important achievement of European psychology localization and has important contributions to the social psychology. At the same time it also waits for further consummates Related Articles | Metrics

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A Review of the Theory of Planned Behavior Duan Wenting;Jiang Guangrong null    2008, 16 (02): 315-320.   Abstract （4610）            Knowledge map    Theory of planned behavior (TPB) is the most famous theory about attitude-behavior in social psychology and has been found to be well supported by empirical evidences. According to TPB, intentions to perform behaviors of different kinds can be predicted with high accuracy from attitudes toward the behavior, subjective norms, and perceived behavioral control, account for considerable variance in actual behavior. In this paper, various aspects of TPB were introduced, including its derivation, general picture, measurements, new researches and developments. Other issues that remain unresolved and further studies were discussed in the end Related Articles | Metrics

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An Introduction of Researches and Theory of Organizational Innovation Climate Wang Yanfei, Zhu Yu null    2006, 14 (03): 443-449.   Abstract （2086）            Knowledge map    organizational innovation climate is the perception employees hold about innovation in the organization and it consists of workers’ feelings, attitudes, and behavioral tendencies measured by their perceptions. The purpose of this paper is to discuss some important aspects about the theory and research of organizational innovation climate, presenting the origin of the concept，formation procedure, construct and measurement, summarizes some drawbacks in this field, several interesting directions for future research are raised Related Articles | Metrics

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Anthropomorphism: Antecedents and consequences XU Liying, YU Feng, WU Jiahua, HAN Tingting, ZHAO Liang Advances in Psychological Science    2017, 25 (11): 1942-1954.   DOI: 10.3724/SP.J.1042.2017.01942 Abstract （1842）            Knowledge map     Anthropomorphism refers to the psychological process or individual difference of imbuing nonhuman agents with humanlike characteristics, motivations, intentions, or mental states. Elicited agent knowledge, effectance motivation, and sociality motivation have been found as the three key determinants of anthropomorphism. Existing research mainly focused on anthropomorphism of nature, super-nature, animals, machines, brands, and products. Previous research found that, anthropomorphizing nature contributed to pro-environment behavior, while anthropomorphism of animals, machines, brands or products had diversified forms and ambiguous consequences. Future research might be mainly conducted in human-robot interaction area, as well as the relationship between anthropomorphism and cuteness. Related Articles | Metrics

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Research Paradigms and Theoretical Models of Social Exclusion CHENG Su;LIU Lu;ZHENG Yong null    2011, 19 (6): 905-915.   Abstract （1487）            Knowledge map    Social exclusion is regarded as a common phenomenon which has great influence on individual and society. It also has a variety of paradigms that include rejection paradigm, ostracism paradigm, life alone paradigm, and so on, and models that consist of temporal need-threat model, multimotive model, emotional numbness and self-control failure theory. The effects of social exclusion on basic needs, emotion, and self-esteem are still in the arguments. The developments of paradigm application and ecological validity as well as the explorations on social exclusion origins and results in the future are being ignited, as to the localization are also raised. Related Articles | Metrics

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Moral foreign language effect and its moderating variables: A systematic review and meta-analysis ZHU Lin, LIU Jinru, LI Jing, LIU Conghui Advances in Psychological Science    2022, 30 (1): 32-50.   DOI: 10.3724/SP.J.1042.2022.00032 Abstract （208）            Knowledge map    Individual decisions in the field of moral judgement are often related to "hurting or sacrificing the innocent" and "tolerating immoral behaviors." Previous studies have shown that when presented with the moral decision-making situation within a foreign language context, the individuals will show a stronger utilitarian and a more tolerant moral evaluation tendency compared with the same situation within the native language context. This phenomenon is defined as the moral foreign language effect. The influence of the language context on the moral judgement has been investigated by numerous studies. However, the results were far from consistent. To this end, we used meta-analysis to explore the effect of the language type (native language vs. foreign language) on the individuals' utilitarian tendency in moral judgments, and we analyzed several moderating variables. A total of 19 papers were retrieved from literature, with 46 independent samples, 97 effect sizes and 9672 participants that met the inclusion criteria of the meta-analysis. First, we analyzed the effect of the language type (native language vs. foreign language) on the utilitarian tendency in moral judgments using the ‘metafor' R package. Next, the potential moderation effects of several factors were examined, including the moral dilemmas story type (personal moral dilemmas vs. impersonal moral dilemmas vs. daily moral evaluation situations), sex, scoring method (two-point scoring vs. multi-point scoring) and language family type (same vs. different). In addition, we used Bayesian factor estimation for secondary exploration of the results that had a nonsignificant moderating effect. Our meta-analysis resulted in the following findings. First, the main effect test indicated that the language type has a significant effect on the utilitarian tendency in moral judgment, with a small but stable moral foreign language effect (g = 0.23). Second, the moderation analysis indicated that the moral foreign language effect was influenced by the story type; there was a small but stable effect of the language type for personal moral dilemmas (g = 0.32), but not for impersonal moral dilemmas (g = 0.11) or daily moral evaluation situations (g = 0.12). The foreign language effect under impersonal moral dilemmas was affected by the scoring method; a significant effect was found under multi-point scoring (g = 0.27), but not under two-point scoring (g = 0.05). On the other hand, there was no significant moderating effect for the sex or language family type. In addition, Bayesian analysis showed only moderate evidence for the absence of moderating effect regarding the factors of sex, scoring methods and language family type. The stability of these conclusions can be further verified in future research. In summary, this study used meta-analysis to systematically explore the robustness and influencing factors of foreign language effects in moral judgment and answered the disputes about the stability of the moral foreign language effect. The results showed a small but relatively stable effect of the language type on the utilitarian orientation in moral judgment. We analyzed the moderating effects of multiple variables, including variables that have not been well-considered in previous studies, such as the scoring methods (two-point scoring vs. multi-point scoring). Our work did not only find the moderating effect of the type of moral dilemmas, but it also revealed the potential impact of the scoring method on the effect size. This provides certain enlightenment and guidance for future empirical studies when selecting the experimental materials and statistical methods. Finally, we used a variety of data processing methods to increase the robustness of the results. For example, robust variance estimation (RVE) was used to control the correlations between dependent effect sizes and compare our results with those of traditional meta-analysis, so as to understand how the results of the meta-analysis are influenced by the correlations between multiple dependent effect sizes. Related Articles | Metrics

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Processing Efficiency Theory to Attentional Control Theory: New Perspective for Anxiety-performance Relationship in Sport Psychology SUN Guoxiao;ZHANG Liwei Advances in Psychological Science    2013, 21 (10): 1851-1864.   DOI: 10.3724/SP.J.1042.2013.01851 Abstract （1809）            Knowledge map    Sport psychology literature extensively reveals that competitive anxiety affects athletic performance (Sarason, 1984). However, the specific mechanisms of such negative relationship occurred between anxiety and performance still need to be further examined. Recently, processing efficiency theory and attentional control theory are further studied for attempting to explain the anxiety-performance relationship specifically in the areas of working memory and executive functions. Based on the research findings (Eysenck & Calvo, 1992), there are two theoretical assumptions for the processing efficiency theory: (1) anxiety impairs processing efficiency more than performance effectiveness, and (2) anxiety impairs the central executive system of working memory. Whereas, attentional control theory is a major development of processing efficiency theory (Eysenck, Derakshan, Santos, & Calvo, 2007). Accordingly, there are also two theoretical assumptions for attentional control theory: (1) anxiety impairs goal-directed attentional system, (2) anxiety impairs efficiency of inhibition and shifting functions. Evidently, processing efficiency theory and attentional control theory both provide the useful frameworks to explain the specific mechanisms of anxiety-performance relationship, which is an imperative topic in sport psychology. Thus, the main purpose of this presentation is twofold: (1) to review the empirical research studies based on these two theories and (2) to recommend the implications for future research. Hopefully, our presentation would promote to further examine other anxiety-performance theories, improve the consistency of research protocol, take the cognitive perspectives into consideration of our research endeavor, and pay more attention to the effect of state anxiety for the purpose of enriching applied research literature. Related Articles | Metrics

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Creating for Others: An Experimental Study of the Effects of Intrinsic Motivation and Prosocial Motivation on Creativity LI Yang; BAI Xinwen Advances in Psychological Science    2015, 23 (2): 175-181.   DOI: 10.3724/SP.J.1042.2015.00175 Abstract （847）            Knowledge map    Scholars of creativity research usually believe that intrinsic motivation is conducive to creativity. However, more and more results have challenged and questioned this conclusion. According to the latest motivated information processing model, prosocial motivation can help people think about not only novel but also useful aspects of ideas to improve the whole creativity. This study used 2×2 between-subjects design. Through the manipulation of intrinsic motivation and prosocial motivation, participants were randomly assigned to one of four conditions and completed a creative task. ANOVA indicated that there was a significant interaction effect of intrinsic motivation and prosocial motivation on creativity, and only when people had high levels of intrinsic motivation coupled with high levels of prosocial motivation, they would be most creative. This study proved the importance of prosocial motivation in creative process, and opened a new perspective of creativity research. Related Articles | Metrics

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Statistical Remedies for Common Method Biases Zhou Hao,Long Lirong null    2004, 12 (06): 942-942~950.   Abstract （6242）            Knowledge map    The problem of common method biases has being given more and more attention in the field of psychology, but there is little research about it in China, and the effects of common method bias are not well controlled. Generally, there are two ways of controlling common method biases, procedural remedies and statistical remedies. In this paper, statistical remedies for common method biases are provided, such as factor analysis, partial correlation, latent method factor, structural equation model, and their advantages and disadvantages are analyzed separately. Finally, suggestions of how to choose these remedies are given. Related Articles | Metrics

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Sweet poison: How does benevolent sexism affect women’s career development? ZHANG Shanshan, XIE Jinyu, WU Min Advances in Psychological Science    2019, 27 (8): 1478-1488.   DOI: 10.3724/SP.J.1042.2019.01478 Abstract （1309）            Knowledge map    Benevolent sexism (BS) is a set of interrelated attitudes toward women that are subjectively positive in tone but viewing women stereotypically in traditional gender roles. These attitudes failed to be detected as prejudice by the perceiver but still reinforces women’s subordinate status. Benevolent sexism revealed in family education and intimate relationships and in workplace contexts restricts the career development of women by disarming them and, rather than compelling them directly, persuading women to internalize these restrictions. To explain the function mechanism, previous studies have investigated how women perceive and react to benevolent sexism with corresponding theories such as stereotype threat, fear of success, and system justification theory. However, the objective and neutral standpoint that the researchers hold in the study of benevolent sexism is worth debating from the perspective of feminist psychology because masculine value has been implicitly admired and heterogeneity among women has been ignored. Considering the recent trend of feminist psychology, some further research ideas are implied and discussed in this review. Related Articles | Metrics

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Network analysis and its applications in psychology CAI Yuqing, DONG Shuyang, YUAN Shuai, HU Chuan-Peng Advances in Psychological Science    2020, 28 (1): 178-190.   DOI: 10.3724/SP.J.1042.2020.00178 Abstract （1123）            Knowledge map    Network analysis models (or Network Psychometrics) have been widely used in psychology research in recent years. Unlike latent variable models which conceive observable variables as outcomes of unobservable latent factors, network analysis models apply the graph theory to construct a network to depict the associations among observable variables. The observable variables are treated as nodes and the associations between them are treated as edges. As such, network analysis models reveal the relationships among observable variables and the dynamic system resulted from the interactions between these observable variables. With indices reflecting individual nodes’ characteristics (such as centrality) and network structural characteristics (such as small-worldness), network analysis models provide a new perspective for visualization and for studying various psychological phenomena. In the past decade, network analysis models have been applied in the fields of personality, social, and clinical psychology as well as psychiatry. Future research should continue to develop and improve the methods of network analysis models, making them applicable to more types of data and broader research fields. Related Articles | Metrics

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Testosterone and human decision-making LIAO Jiajun, LI Hong, WU Yin Advances in Psychological Science    2019, 27 (9): 1607-1621.   DOI: 10.3724/SP.J.1042.2019.01607 Abstract （2229）            Knowledge map    Testosterone is one of the steroid hormones (i.e. androgen). Early research has shown that testosterone played a large role in the human aggressive and impulsive behavior. There is increasing interest in the effects of testosterone on human decision-making, including social (i.e. trust, cooperation, altruism, and competition) and economic decision-making (i.e. risk taking). In general, there is a positive association between testosterone level and risk-seeking behavior in economic decision-making. In the social domain, high testosterone levels are associated with more aggressive, dominant, and fairness behavior. Testosterone administration also reduced interpersonal trust. Note that some findings are hard to replicate, and more research is needed to investigate potential moderators. Future research could fruitfully explore the role of testosterone in consumer decision-making, adolescent’s social behavior and clinical application. Related Articles | Metrics

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The neural mechanisms of developmental motor disorders in children with autism spectrum disorder WANG Lin, WANG Zhidan, WANG Hongjing Advances in Psychological Science    2021, 29 (7): 1239-1250.   DOI: 10.3724/SP.J.1042.2021.01239 Abstract （63）            Knowledge map    Developmental motor disorders are the common feature of autism spectrum disorder (ASD). Through a systematic review of the neuroscience literature, it is found that the alteration in the concentration of GABA and of serotonin and the abnormal expression of GABA-related protein and of shank protein led to not only the defects of the development of the central nervous system but also the synaptic excitation/ inhibition imbalance, thus in turn resulting in the changes of the functional connectivity between cerebellum and motor cortex in children with ASD. The abnormalities in the structure of the cerebellum, basal ganglia, and corpus callosum had a negative impact on the whole-brain connectivity in children with ASD. The disorders in neurobiochemical mechanisms and the abnormalities of brain structure together triggered abnormal brain function of children with ASD, which ultimately resulted in developmental motor disorders. In addition, the common neural basis shared by the developmental motor disorders and the core symptoms of ASD mainly included the mirror neuron dysfunction, the abnormalities of the thalamus, the basal ganglia, the cerebellum and mutations of SLC7A5 and PTEN. Future researches need to focus on other neurotransmitters closely related to motor, such as acetylcholine and dopamine, to explore the dynamic mechanism and formation of the neural network of developmental motor disorders, and to analyze the interaction between the underlying neural mechanisms of motor developmental disorders and that of core symptoms of autism. Related Articles | Metrics

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Theory Basis of MBTI and Its Application for Practice from Research Zeng Weixi;Zhang Jinfu null    2006, 14 (02): 255-.   Abstract （2482）            Knowledge map    First, analyzed the difference between MBTI and Quality assessment; pointed out the advantage of MBTI. Second, reviewed the relational study of MBTI at home and abroad, including the data of reliability, validity, and norm; revision at home and relational analysis with other scales; MBTI personality type in organization; application in organization development and team analysis, application in career guidance, teaching-learning style study and family therapy. At last, pointed out some indecent use and gave some advice Related Articles | Metrics

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Analyses of Mediating Effects: The Development of Methods and Models WEN Zhonglin;YE Baojuan Advances in Psychological Science    2014, 22 (5): 731-745.   DOI: 10.3724/SP.J.1042.2014.00731 Abstract （3033）            Knowledge map    Mediation models are frequently used in the research of psychology and other social science disciplines. Mediation indicates that the effect of an independent variable on a dependent variable is transmitted through a third variable, which is called mediator. In most applied research, Baron and Kenny’s (1986) causal steps approach has been used to test mediating effect. In recent years, however, many methodological researchers questioned the rationality of the causal steps approach, and some of them even attempted to stop its use. Firstly, we clarify the queries on the causal steps approach one by one. Secondly, we propose a new procedure to analyze mediating effects. The new procedure is better than any single method that constitutes the procedure in terms of Type I error rate and power. The proposed procedure can be conducted by using observed variables and/or latent variables. Mplus programs are supplied for the procedure with observed variables and/or latent variables. Finally, this article introduces the development of mediation models, such as mediation model of ordinal variables, multilevel mediation, multiple mediation, moderated mediation, and mediated moderation. Related Articles | Metrics

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A new type of mental health assessment using artificial intelligence technique JIANG Liming, TIAN Xuetao, REN Ping, LUO Fang Advances in Psychological Science    2022, 30 (1): 157-167.   DOI: 10.3724/SP.J.1042.2022.00157 Abstract （510）            Knowledge map    The application of artificial intelligence and big data mining technology in the field of mental health has promoted the development of intelligent mental health assessment. Intelligent mental health assessment entails the application of artificial intelligence technology in acquiring and analyzing data and modeling the relationship between behavioral features and mental health problems. Intelligent mental health assessment has broadened the forms of data and the analysis methods of traditional mental health assessment, enabling researchers to obtain multi-modal data based on more simulated situations and achieve more efficient and accurate assessments. At present, researchers mainly carry out mental health assessments based on social media data, smart device data, video game data, and wearable device data to explore various features related to mental health and build predictive models. Social media data mainly refer to the text content posted by users on social media, which is widely used in psychological assessment. Researchers have explored text features related to mental health. Foreign researchers mainly predict users' mental health conditions based on the contents posted on platforms such as Facebook and Twitter. Domestic researchers mostly rely on Weibo and other platforms to conduct related research. Smartphones and other devices record individual daily behavioral data, including application software use, communication, location movement (based on GPS), etc. These behavioral data provided effective information for predicting the psychological characteristics of individuals. Besides, with the widespread use of smartphones and other mobile devices, collecting audio and video data has become more convenient. Researchers can extract features such as actions, voices, and expressions to achieve an immediate and automatic evaluation of participants' mental health. Video game data refers to the log data of the player during the game. It contains a wealth of behavioral performance information of the individual in the virtual environment. Researchers can evaluate the individual's abilities and psychological characteristics based on the data. Game-based assessment is mainly used to assess individual abilities and cognitive impairment. However, there are few studies on mental health assessment based on games, only some assessments of the positive personality. Mental health problems are often accompanied by obvious physiological reactions. Researchers use wearable devices to collect physiological indicators such as brain electricity, eye movements, heart rate, and skin temperature for mental health monitoring. Researchers use EEG data and eye movement data to identify mental health problems related to emotions and attention. Indicators of skin temperature and heart rate reflect the individual's mood and stress state and therefore have the potential to predict the level of individual mental health. The future research directions of intelligent mental health assessment mainly include five aspects. First, previous research on intelligent mental health assessment has often used data-driven methods to explore features and construct predicting models, which is hard to explain the complex relationship between behavioral indicators and latent mental health state. Therefore, further improvement of pertinence and refinement is demanded. Researchers should design tasks based on psychological theories, carry out meaningful feature extraction, and gradually refine from rough dichotomous diagnosis to continuous and typed diagnosis. Second, unsupervised data mining is difficult to ensure the validity and interpretability of assessment. To carry out effective assessment and reduce errors in the new simulated environment, the task design of intelligent mental health assessment should be designed based on the evidence center. Third, the current intelligent mental health assessment mainly uses the indicators in the computer field, and the relevant research considering the reliability and validity is very rare. Researchers should select prediction models based on specific tasks and test the generalization and stability of prediction models in different datasets and scenarios. Fourth, different data sources and features have unique advantages. Researchers could obtain multi-modal data for modeling and analysis with the application of the advanced technology of artificial intelligence. Finally, privacy protection and ethical issues are essential for intelligent mental health assessment. Subjects should be notified before data acquisition and use. Related Articles | Metrics

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The dark side of positive leadership: A review and prospect WANG Zhen, LONG Yufan, PENG Jian Advances in Psychological Science    2019, 27 (6): 1123-1140.   DOI: 10.3724/SP.J.1042.2019.01123 Abstract （1445）            Knowledge map    Previous leadership research has primarily concentrated on the bright side of positive leadership styles, while paying less attention to their possible dark side. Although the recent years have witnessed an increasing number of these inquiries, there is still a lack of a clear understanding of the dark side of positive leadership. A review of 41 empirical journal articles illustrates the scientific status of this research area. In general, research has illustrated the dark side of behavior-oriented leadership (i.e., transformational, ethical, empowering, inclusive, and benevolent leadership) as well as relationship-oriented leadership (i.e., leader-member exchange) in terms of their negative effects on leaders, followers, and teams. Besides the research that solely examined the negative effect, there is a body of research that investigated the double-edged sword effects and nonlinear effect of positive leadership. Social identity theory, social exchange theory, psychoanalysis theory, social information processing theory, and resource-based theories were primarily used to account for the dark side of positive leadership. Future research should develop an integrated theoretical framework underlying the dark side of positive leadership, extend existing literature by examining the dark side of other leadership styles, and identify the boundary conditions that alleviate these dark side effects. Group differences (e.g., cultures, generation, and gender) should also be considered as boundary conditions of the dark side of positive leadership. Related Articles | Metrics

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Face Imagery Enhances Event-Related Potentials to Ambiguous Visual Stimuli 陆灵犀; 李量 Advances in Psychological Science    2016, 24 (Suppl.): 19-.   Abstract （285）            Knowledge map    PURPOSE: The neural mechanism underlying face processing involves both bottom-up sensory processing of a face stimulus and top-down modulation. Face stimuli can elicit specific event-related potentials (ERPs), including N170, vertex positive potential (VPP), and P2, which are based on different bottom-up and top-down interactions at different processing levels. The specific top-down face processing without bottom-up contamination remains largely unknown. Particularly, it is unclear what neural responses manifest the top-down face-specific modulation while bottom-up inputs of physical features of faces are eliminated. METHODS: This study was to examine the ERP components that are specifically modulated by the face imagery when random ambiguous visual stimuli are presented. Sixteen participants received two blocks of ambiguous stimuli, in which they were instructed to imagine either faces or houses upon looking at the ambiguous stimuli. The waveforms of VPP at the fronto-central sites, and N170 and P2 at the occipito-temporal sites were measured and analyzed. RESULTS: Both VPP and P2 responses were enhanced by the face imagery compared to the non-face (house) imagery, and N170 disappeared when eliminating the physical face features. CONCLUSIONS: Ambiguous-stimulus-induced VPP and P2, but not N170, can be modulated by the top-down face-imagery processing when bottom-up face-signal inputs are eliminated. Related Articles | Metrics

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A Review of Fear of Failure Researches Sun Xiaoling;Wang Ling null    2007, 15 (04): 637-641.   Abstract （1208）            Knowledge map    Fear of failure (FF) has drawn more and more attention as an avoidance motivation or as a negative emotion in recent years. The paper introduced the evolution of FF concept and structures, the FF measure tools which changed from unidimensional to multidimensional, the development and prevention of FF based on psychodynamic theory and the intervention using new multidimensional measure tool. Proposed issues for further studies include determining whether fear of failure has cross-cultural or cross-contextual differences and finding the realistic significance of FF researches in China Related Articles | Metrics

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Fear of missing out: What have I missed again? CHAI Huan You, NIU Geng Feng, CHU Xiao Wei, WEI Qi, SONG Yu Hong, SUN Xiao Jun Advances in Psychological Science    2018, 26 (3): 527-537.   DOI: 10.3724/SP.J.1042.2018.00527 Abstract （3174）            Knowledge map     Fear of missing out (FoMO) refers to the pervasive apprehension resulting from worries that others might be experiencing fantastic stories or positive events from which one is absent. FoMO is determined by various factors such as personality traits, psychological needs, social media usage and age. FoMO would exert great impacts on social media usage and psychosocial adaptation. Meanwhile, FoMO can act as a mediator through which some factors influence social media usage and psychological adaption. The key issues of future studies on FoMO are the discrimination of contiguous concept, improvement of measurement and research method, as well as investigation of influencing factors and aftereffects. Related Articles | Metrics