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ISSN 1671-3710
CN 11-4766/R
主办:中国科学院心理研究所
出版:科学出版社

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    Conceptual Framework
    The neural mechanism and transfer effect of creative cognitive reappraisal in negative emotion regulation
    WU Xiaofei, XIAO Feng, LUO Jing
    2022, 30 (3):  477-485.  doi: 10.3724/SP.J.1042.2022.00477
    Abstract ( 3593 )   HTML ( 337 )  
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    Cognitive reappraisal plays an important role in regulating negative emotions. However, traditional cognitive reappraisal has some issues, such as a lower reconstruction degree and a lower emotion regulation effect. Considering these issues, we propose an effective emotion regulation strategy called creative cognitive reappraisal, which refers to a novel and unique interpretation that is highly creative and appropriate for current emotional stimuli. During the emotion regulation process, an individual suddenly experiences an "Aha!" moment when combining the interpretation with the stimulus situation. This study found a dramatic shift from negative to positive emotions and a long-lasting regulatory effect. According to imaging results, creative cognitive reappraisal was associated with the formation of a novel association in the hippocampus and positive emotional arousal in the amygdala.

    However, the guided reappraisal used in this work was more akin to an understanding of reappraisal interpretation than active emotion regulation, which has lower ecological validity. Furthermore, it is difficult to generate high creative reappraisal on one’s own, making the application of creative cognitive reappraisal challenging. Thus, the goal of this project is to teach participants how to learn the method of creative cognitive reappraisal and then transfer and apply this strategy to specific negative emotion regulation in daily life, i.e., to establish a "learn and then use" emotion regulation mode that can truly play the role of creative cognitive reappraisal during emotion regulation. Furthermore, because teenagers have more serious mood problems but also have higher creativity, this project intends to apply a creative cognitive reappraisal strategy for emotion regulation to teenagers while also teaching them creative emotion regulation strategies to assist them in learning cognitive transformations and reconstructions. This method can teach teenagers how to use positive emotional regulation strategies to deal with negative life events while also preserving their creativity.

    The specific research contents are as follows: 1) exploring the transfer effect of creative cognitive reappraisal in negative emotion regulation of college students and adolescents; 2) investigating changes in brain activation and representation patterns before and after creative cognitive reappraisal transfer; and 3) examining the similarities and differences in the neural mechanisms of creative cognitive reappraisal transfer between adolescents and adults. This project is an extension and expansion of the applicant's existing work, and it would establish a theoretical foundation for verifying and promoting creative cognitive reappraisal as a learnable, usable and efficient emotional regulation strategy.

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    Social exclusion influenced intertemporal decision-making and its mechanism
    ZHANG Shuyue, HUANG Junqing, ZHAO Feng, XU Kepeng
    2022, 30 (3):  486-498.  doi: 10.3724/SP.J.1042.2022.00486
    Abstract ( 3799 )   HTML ( 395 )  
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    Social exclusion exists widely, is a phenomenon that is ostracized or rejected by a group or an individual. It not only impairs people's needs of belonging and relationship but also has a negative impact on human cognition, affection, and behavior. For example, previous studies found that social exclusion could impair the cognitive function because people need to use their self-control resources to regulate the negative emotions resulting from social exclusion. Therefore, it is hard for excluded people to make rational judgments in decision-making which requires more cognitive resources. There were also empirical studies indicating that people tended to risk-seeking in risk decision-making tasks after been excluded. Intertemporal decision-making is a particular type of decision-making. It requires people to choose between the options occurring at different points of time, especially between present and future options. Though there was a high similarity between intertemporal decision-making and risk decision-making in theoretical development and neural basis, whether and how social exclusion affects intertemporal decision-making is largely unknown. Hence, the present study aimed to explore the effect of social exclusion on intertemporal decision-making and its potential mechanism.

    From the perspective of the process, intertemporal decision-making could be divided into evaluation and selection stages. This research concluded that there are two mechanisms of social exclusion affect intertemporal decision-making which respectively in the evaluation and selection stages. And this research concluded two mechanisms of social exclusion that affect intertemporal decision-making, respectively, in these two stages. Thus, we constructed a two-stage model to explain how social exclusion affects intertemporal decision-making. Intertemporal decision-making is closely related to the time of delay. Previous studies revealed that social exclusion would impair the time perception of the excluded people. Considering the importance of time perception for intertemporal decision-making, it would be with a great possibility that social exclusion would lengthen the excludeds’ time perception at the valuation stage, therefore reduce their subjective value of the delay option. Then the excluded people had to regulate their negative emotions by consuming self-control resources at the selection stage. While the reduction of self-control resources may weaken the control capability and make excluded people unable to resist the urge for immediate options, consequently, result in the high discount rate of intertemporal decision-making.

    We tried to buffer the negative effect of social exclusion and improve the intertemporal decision-making capability of the excluded people. Based on the two-stage model, time perception and self-control could mediate the effect between social exclusion and intertemporal decision-making. So, the key point is to recover the time perception and self-control resource damaged by social exclusion. Some studies indicated that the right ventrolateral prefrontal cortex (rvlPFC) was a crucial brain region that can regulate a range of negative effects of social exclusion, the activation of rvlPFC would significantly reduce the negative emotion and aggressive behavior in the social exclusion. Therefore, transcranial direct current stimulation (tDCS, a non-invasive brain stimulation technology) would be used to activate the rvlPFC of the excluded people. We assumed that the activation of rvlPFC would normalize their time perception and recover their self-control resource. Moreover, social exclusion is a dynamic situation, the effect of the short-term exclusion has highly possible be different from the long-term exclusion. So, this research would also distinguish the short-term and long-term exclusion and give them the respective study.

    The results of this research would reveal how interpersonal factors affect the intertemporal choice and how to improve the excludeds' ability of intertemporal decision-making. The findings would have implications in helping the excluded people make rational decisions in life, such as health, education, marriage, savings, and improve their quality of life and personal achievement.

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    Research on job crafting from the perspective of sustainable career: Motivation, paths and intervention mechanisms
    WANG Qiong
    2022, 30 (3):  499-510.  doi: 10.3724/SP.J.1042.2022.00499
    Abstract ( 2698 )   HTML ( 151 )  
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    In the era of career boundarylessness, facing with the ever-weaker linkage between individuals and organizations, individuals have to initiate the tasks of self-career management to actively respond to the development and changes of occupational environment. Job crafting are bottom-to-top behaviors which help to actively change the boundaries of resources and daily tasks. Since in relevant with people’s autonomy and the improvement of internal resources and recognitions, job crating behaviors should be potential ways for realizing career sustainable development. However, job crating contains personal resource consuming and reinvest as well. The way people define their value resources determine their job crating motivations and paths. Prior literature mainly limited to the influences of job crating in within organizational context, and research on internal motivational antecedents is relatively insufficient and ignoring the explorations of why and how individuals craft their jobs. In this respect, the study here considers the interactive linkages between individuals’ occupation and daily work behaviors and proposes series of theoretical framework. Specifically, based on 3 successive sub-studies, we explore the potential motivations, paths and intervention mechanisms for individuals to gain sustainable competitive advantages through daily work. In study 1, we stick to the individual’s role of ‘central career agent’ in achieving sustainable career, and define the concept and measurement structure of career sustainability from perspectives of recognition, career development cycles, and individual as well as environmental resources. Meanwhile, grounded in prior literature and longitudinal empirical results, we reveal the potential influencing factors (i.e., demographic variables and personality traits) and dynamic development mechanisms of career sustainability. The effect paths of career sustainability on the occupational proactive behaviors (i.e. job crafting) are discussed as well. In Study 2, we focus the driven-force of job crafting and the driven outcome. Strong career sustainability captures plentiful skills and abilities to continuously respond to changes, which is conductive to the adjustment of job tasks and roles, and therefore should be the motive factor of job crafting. What’s more, based on conservation of resource theory, individuals have the innate motivation to protect and expand their value resources. Nevertheless, value resource differs across individuals and thus influence the investment directions and scale. We contend that individuals with high level of career sustainability, tend to more value the importance of sustainable career development, and consequently are more likely to craft their jobs toward the ways of achieving sustainable career. According to social cognitive theory, the cognition of individuals’ self-ability influences their behavior tendencies, and then influence the follow-up actual behaviors as well as the results of those behavior. Therefore, along with the improvement of career sustainability, the enhanced protean career orientation would directly influence the direction and strength of individuals’ job crafting. Consequently, the dynamic rising closed loop of career sustainability to career sustainability which linked by job crafting forms, which delineate the influence paths from individuals’ job crating to their sustainable career development at the same time. Rooted in the cross-level data which collected from multi waves, study 3 explores the influences of organizational career management supports on career sustainability and job crafting, and thus to interpret the vertical intervention mechanism of job crafting behaviors at organizational level. Formal and informal organizational career management tactics are compared base on quasi-experiments so that to provide theoretical references for managerial practitioners. Moreover, considering that individuals’ daily workplace behaviors (i.e., job crating) indirectly reflect the career value and professional abilities, the present study also offers theoretical implications from perspectives of sustainable career. Firstly, through testing the change and development of job crating, and exploring and motive (protean career orientation) and ability factors (career sustainability), we respond to the calls of exploring job crating motivations from career perspective. Secondly, we test the boost power of job crafting in the improvement of career sustainability, and expand the outcome variables of job crafting to the career horizon. Lastly, we build the theoretical framework of organizational job crating intervention, and expand the application boundaries of organizational career management supports based on empirical and quasi-experimental research. The conclusions here provide strategic bases for individuals to achieve sustainable career development and organizations to carry out win-win career management support.

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    Research Method
    Concepts and evaluation of saturation in qualitative research
    YANG Liping, QI Lidong, ZHANG Bo
    2022, 30 (3):  511-521.  doi: 10.3724/SP.J.1042.2022.00511
    Abstract ( 8027 )   HTML ( 257 )  
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    With the methodological changes in psychology, more and more researchers tend to accept qualitative research as an effective way to solve psychological problems and serve the public. In a qualitative study, sufficient sample is the guarantee of research validity, and saturation is an indicator used to assess the adequacy of research data. Saturation means that on the basis of the currently collected and analyzed data, further data collection will not help researchers develop a deeper understanding of the story or theory, so there is no need to continue to collect data. The concept of theoretical saturation was first proposed in grounded theory. Then with the development of qualitative research methods, researchers have further created more saturation concepts, including data saturation, code or thematic saturation, meaning saturation, etc. Due to the diversity of saturation and its judgment standards, the relationship between different kinds of saturation are complicated and ambiguous. In addition, previous studies lack operational description and practical guidance for the evaluation of saturation, which leads to the vagueness of the concept of saturation and many difficulties in evaluation. In order to solve these problems, this study clarified the concepts and evaluation methods of four levels of saturation, and provided suggestions for researchers' operations based on comparison and analysis. The four types of saturation occur at different stages of the research process, and each has its own specific connotations. Data saturation, code or thematic saturation focuses on the breadth of collected data, while meaning saturation and theoretical saturation focus on the depth of research data. In terms of evaluation methods and criteria, researchers usually judge data saturation based on the repeatability of initial data; code or thematic saturation is determined based on empirical research results, the emergence of new codes or themes, or saturation coefficients; the results of retrospective empirical analysis or tables of meaning unit are normally used to evaluate meaning saturation; while the assessment of theoretical saturation relies on a process called "continuous comparison" in grounded theory, which focuses on the continuous improvement of the theory. Some problems are discussed in this study. 1) The sample size standard for reaching saturation should be embedded in the specific research process instead of being uniformly set in advance. Because each study has its own uniqueness in terms of questions, purposes, methods, etc., which saturation is extremely sensitive to, the evaluation of saturation should be based on the characteristics of the current research to select an appropriate level of saturation. 2) Due to the logical uncertainty of saturation, a little oversampling would be helpful. The logical uncertainty here means that researchers can only predict the necessity of continuing data collection based on the information that has been collected, which relies on the subjective judgment of researchers, and its accuracy can never be further proved. Oversampling may be an effective way to solve this problem, which means that even if saturation has been achieved, the researcher is recommended to add 2 to 3 personal interviews or 1 to 2 focus group interviews to further confirm. 3) As an important index to evaluate the quality of qualitative research, saturation is not suitable for all qualitative research, such as psychobiography, narrative analysis, etc., which focus on single or a few cases and pay more attention to the integrity of individual stories. In the future, researchers should further focus on the evaluation and testing of saturation in different kinds of qualitative research.

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    The measurement of problem-solving competence using process data
    LIU Yaohui, XU Huiying, CHEN Qipeng, ZHAN Peida
    2022, 30 (3):  522-535.  doi: 10.3724/SP.J.1042.2022.00522
    Abstract ( 2290 )   HTML ( 88 )  
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    Problem-solving competence is an individual’s capacity to engage in cognitive processing to understand and resolve problem situations where a method of solution is not immediately obvious. The measurement of problem-solving competence requires the use of relatively more complex and real problem situations to induce the presentation of problem-solving behaviors. This brings challenges to both the measurement methods of problem-solving competence and the corresponding data analysis methods. Using virtual assessments to capture the process data in problem-solving and mining the potential information contained therein is a new trend in measuring problem-solving competence in psychometrics.

    Firstly, this paper reviews the development of measurement methods from pen-and-paper tests to virtual assessments. Compared with the traditional paper-and-pencil test, modern virtual assessments are not only conducive to simulating real problem situations, improving the ecological validity of the test, but also can record the process data generated by individuals in the process of problem-solving. Process data refers to man-machine or man-human interaction data with timestamps that can reflect the process of individual problem-solving. It records the detailed steps of individual problem solving and reflects the strategy and cognitive process of individual problem-solving. However, it is not easy to adopt effective methods to analyze process data.

    Secondly, two methods of analyzing process data are summarized and compared: data mining methods and statistical modeling methods. Data mining is the process of using algorithms to uncover new relationships, trends, and patterns from big data. It is a bottom-up, data-driven research method that focuses on describing and summarizing data. Its advantage is that it can use existing algorithms to analyze a variety of process data at the same time, screen out variables related to individual problem-solving competence, and realize the classification of individual problem-solving competence. But sometimes, different algorithms could get different conclusions based on the same data, which leads to part of the results can not be explained. This method can not construct variables that can reflect the individual's latent trait, either. Statistical modeling method mainly refers to the method of analyzing data by using the idea of artificial modeling. It is a top-down, theory-driven approach. In statistical modeling, function models are generally constructed based on theoretical assumptions, and the observed variables are assumed to be randomly generated by the probability law expressed by the model. For the data recorded by virtual assessments, the existing modeling methods can be divided into three categories: psychometric joint modeling, hidden Markov modeling, and multi-level modeling. The main advantage of statistical modeling is that its results are easy to interpret and conform to the general process of psychological and educational research. Its limitation lies in that the modeling logic has not been unified yet because different types of process data need to be modeled separately. However, by giving full play to the advantages of the two data analysis methods, different problems in psychological and educational assessments can be dealt with. The interpretability of the results is very important in psychological and educational measurements, which determines the dominant role of statistical modeling in process data analysis.

    Finally, the possible future research directions are proposed from five aspects: the influence of non-cognitive factors, the use of multimodal data, the measurements of the development of problem-solving competence, the measurements of other higher-order thinking competence, and the definition of the concept and structure of problem-solving competence.

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    Meta-Analysis
    The neural activities of different emotion carriers and their similarities and differences: A meta-analysis of functional neuroimaging studies
    LIU Juncai, RAN Guangming, ZHANG Qi
    2022, 30 (3):  536-555.  doi: 10.3724/SP.J.1042.2022.00536
    Abstract ( 2094 )   HTML ( 97 )  
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    Emotion recognition has always been a hot topic in psychology. Although some studies have explored the brain mechanisms of dynamic facial expressions, dynamic bodily expressions and emotion