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1. A total of 273 papers were published on the China Psychology Preprint Platform in 2022 According to background statistics, since 2018, the total number of publications on China Psychology preprint platform has reached 1158, with a total download of about 1.9 million times. A total of 273 papers were published on the China Psychology preprint platform in 2022, almost the same as the number of papers in 2021, with a total download of 126,625 times and an average download of 463 times. In terms of discipline classification, papers on the psychology preprint platform are mainly concentrated in cognitive psychology, social psychology, management psychology, applied psychology and other sub-disciplines of psychology. Among them, cognitive psychology has the most papers, with a total of 74 papers published in 2022. 2. List of highly downloaded papers on China Psychology Preprint Platform in 2022 In this section, the new articles published in 2022 on the preprint platform are sorted according to the annual downloads to form two lists of the annual most-downloaded papers and the monthly most-downloaded papers (retrieved on March 21, 2023). Some papers in the process of constantly updating and polishing, there are multiple versions. The criteria for the most-downloaded papers of the year 2022 are as follows: if there are multiple editions of a paper, the first edition of the paper must have been published in 2022; The statistical scope of highly downloaded papers in 2022 is further limited to: if there are multiple editions of the papers with the highest downloads in the month, the first edition of the papers must be published in the month to be counted as the most downloaded papers in the month. · Most-downloaded paper of the Year 2022 1. A Python Introduction to Big Data Psychology [V2] Published time: 2022-03-18 Views: 10,410 Downloads: 2983 Summary of content: Taking Jiujiuwen.com as an example, this paper introduces the research methods of big data psychology in detail. Text data collected from user experiments are used to extract the word frequency features, train the machine learning model, and then use the learning model to predict the life satisfaction corresponding to the crawling articles on Jiujiuwen.com, helping the beginners of big data research to have an intuitive feeling of the whole processing process. Through specific examples, this paper introduces the word frequency calculation of text used by Python and sentiment dictionary, and completes the training, testing and application of machine learning model with scikit-learn library, combined with the attached source program, so as to facilitate the direct operation of readers. This paper preliminarily introduces the big data research method of machine learning modeling based on text word frequency. The introduction of the technology is relatively basic, and the main emphasis is on how to apply the technology, while the introduction of the technology principle is less. The article links: http://psych.chinaxiv.org/abs/202203.00020 Lu Sihua, Song Mengyao, Mo Liuling, Li Dongqi, Zhu Tingshao.(2022). A Python introduction to the Psychology of Big Data. Chinese psychology preprints platform. Doi: 10.12074/202203.00020. 2. Exploration and research of change point analysis based on response time in detecting accelerated response Published Time: 2022-05-14 Views: 7091 Downloads: 1368 Summary of content: Compared with traditional discrete response data, response time as continuous data can provide more information. change point analysis (change point analysis) is a relatively new technique in the field of psychology and education. On the one hand, this paper makes a comprehensive summary and analysis of the application of change point analysis in the field of psychometric measurement. On the other hand, the two kinds of change-point analysis statistics based on the response data are extended to the response time data, and the change-point analysis technique is applied to the detection of the abnormal response mode: speededness and speededness. Two test methods, likelihood ratio test and Wald test, were used to detect abnormal response patterns under the condition of known and unknown item parameters respectively. The results show that the proposed method has high testing power for the detection of accelerated response behavior, and can well control the Class I error rate. The empirical data analysis further indicates that the method used in this paper has application value. The article links: http://psych.chinaxiv.org/abs/202205.00105 Journal of Psychology Zhong Xiaoyuan, Yu Xiaofeng, Miao Ying, Qin Chunying, Peng Yafeng, Tong Hao.(2022). Exploration of change point analysis based on response time data in detecting accelerated responses -- known and unknown item parameters. Acta Psychologica Sinica,54(10),1277-1292. 3. A non-parametric cognitive diagnostic computer adaptive test that takes into account information about question options Published Time: 2022-04-06 Views: 1681 Downloads: 883 Summary of content: In order to make full use of the choice information, two kinds of non-parametric choice selection strategies and variable length termination rules for processing the choice information of multiple choice questions in CD-CAT are proposed. The results of the simulation study show that: (1) the classification accuracy of the two non-parametric selection strategies is higher than that of the parametric selection strategies under the fixed length condition; (2) The two nonparametric selection strategies have more balanced question bank usage than the parametric selection strategies; (3) The non-parametric selection strategy has higher classification accuracy under the two new variable length termination rules; (4) Both nonparametric selection strategies are applicable to multiple choice CD-CAT situations, and users can choose one of them for test analysis. The article links: http://psych.chinaxiv.org/abs/202204.00028 Journal of Psychology Sun Xiaojian, Guo Lei.(2022). A non-parametric cognitive diagnostic computer adaptive test considering topic choice Information. Acta Psychologica Sinica,54(09),1137-1150. 4. Subject fitting research based on residual statistics in multilevel scoring tests Published Time: 2022-04-06 Views: 2750 Downloads: 757 Summary of content: In this paper, we propose an individual fitting statistic R under multilevel scoring items, and examine its performance under six common abnormal response modes (cheating, guessing, random, careless, innovative response, mixed anomaly), and compare it with the standardized log-likelihood statistic lzp. The results showed that: (1) the detection rate of R was significantly higher than that of lzp when the exception response coverage rate was low and the exception response type was cheating and guessing; (2) With the increase of the length of the test and the abnormal degree of the subjects, the detection rate of the two statistics will increase; (3) Under some conditions, the detection effect of R and lzp is close. The empirical data analysis further shows the use method and process of R statistic, and the results also show that R statistic has a good application prospect. The article links: http://psych.chinaxiv.org/abs/202204.00023 Journal of Psychology This paper has been published, and the citation format can be referred to: Tong Hao, Yu Xiaofeng, Qin Chunying, Peng Yafeng, Zhong Xiaoyuan.(2022). A study of subject fitting based on residual statistics in multilevel scoring tests. Acta Psychologica Sinica,54(09),1122-1136. 5. The dissociative effect of emotional regulation strategy use habits and choice preferences: The moderating role of trait Anxiety Published: 2022-04-14 Views: 5343 Downloads: 711 Summary of content: To explore the relationship between the use habit of emotion regulation strategy and choice preference of college students and its mechanism. In study 1, questionnaire method and behavioral experiment method were used to investigate the use habits and choice preferences of five emotional regulation strategies and the relationship between them. Study 2 examined the effect of trait anxiety on the correlation between emotion regulation strategy use habits and choice preferences. The results show that there is a significant negative correlation between the use habit of expression catharsis and choice preference. Trait anxiety did not affect the correlation among cognitive reappraisal, expression inhibition, receptivity, attentional distraction and choice preference. However, the correlation between expression catharsis strategy usage habit and choice preference is affected. The article links: http://psych.chinaxiv.org/abs/202204.00118 Yao Yujia, Xu Di, Sang Biao.(2022). The dissociative effect of choice Preference and habit use of emotion regulation strategies: The moderating effect of trait Anxiety. Chinese psychology preprints platform. Doi: 10.12074/202204.00118. 6.Standing up for close others: The relationship effect on moral courage across harm/care and fairness contexts Published Time: 2022-02-06 Views: 5385 Downloads: 708 Summary of content: Moral courage, standing up for others and intervening when a norm is violated, is viewed as a virtue in modern societies. However, it remains unclear how moral courage varies in interpersonal relationships and across moral contexts. Two studies were designed to test the effect of relationship type (close or distant) between the bystander and the victim on moral courage across harm/care and fairness contexts. The results showed that participants reported greater levels of moral courage when the victim was their family member or friend (vs. a stranger), and this relationship effect was stronger in the harm/care (vs. fairness) context. In addition, anger, a moral emotion, served a mediation role in the relationship effect on moral courage in both moral contexts. Taken together, the current findings demonstrate a relationship effect on the intentions of moral courage, especially in the harm/care context, suggesting that the relationship (between bystander and victim) and the context (harm/care vs. fairness) should be considered in understanding interventions against a norm violation. The article links: http://psych.chinaxiv.org/abs/202202.00009 Recommended way of reference: Wu, S.T.,Nudelman,G.,& Chen Y.Y.(2022).Standing up for close others: The relationship effect on moral courage'll harm/care and fairness contexts. PsyChinaXiv. Doi: 10.12074/202202.00009. 7. Study on subject fitting in cognitive diagnostic evaluation Published Time: 2022-05-12 Views: 7105 Downloads: 705 Summary of content: In general, cognitive diagnosis requires diagnostic evaluation of subjects through cognitive diagnosis model. The validity of the diagnostic results generated by the cognitive diagnostic model depends on whether the responses of the subjects fit the selected model. Therefore, when evaluating the diagnosis results, it is necessary to test the response of the subjects and the fit of the model through the subject fitting analysis, so as to avoid errors or ineffective remedies. Based on the weighted score residual, this study proposed a new subject fitting index R in cognitive diagnostic evaluation. The simulation results showed that the one-class error rate of R index had a good stability, and had a high statistical testing power for random response, fatigue, sleep and creative response types of abnormal subjects. Then R index is applied to the empirical data of fraction subtraction to show the application process of R index in the actual test. The article links: http://psych.chinaxiv.org/abs/202204.00026v2 Yu Xiaofeng, Tang Qian, Qin Chunying, Li Yujun.(2022). Study on the subject fitting in cognitive diagnostic evaluation. Chinese psychology preprints platform. Doi: 10.12074/202204.00026. 8. Optimization of life satisfaction prediction model enhanced by text data Published time: 2022-01 Views: 5,991 Downloads: 700 Summary of content: [Objective] With the development of network big data and machine learning methods, more and more researches combine text analysis and machine learning to predict satisfaction. In the study on the establishment of life satisfaction prediction model, aiming at the difficulty of obtaining a large amount of effective annotated data, this study proposes to optimize the life satisfaction prediction model based on text data enhancement. [Methods] After adapting the Dalian Dictionary of Science and Technology, the 357 living conditions were described as the original text, and the life satisfaction scale was self-scored as the mark. The text data were enhanced through EDA and back translation, and the prediction model was established by traditional machine learning algorithm. [Results] The results showed that the predictive ability of each model was greatly improved after the revision of the dictionary. After data enhancement, only the linear regression model was observed to improve the translation and EDA. The Pearson correlation coefficient between the predicted value and the actual value of the Ridge regression model using the original data for training is the highest, reaching 0.4131. [Conclusion] The improvement of feature extraction accuracy can optimize the current life satisfaction prediction model, but for the life satisfaction prediction model based on word frequency, text data enhancement based on back translation and EDA may not be very suitable. The article links: http://psych.chinaxiv.org/abs/202201.00007 Chen Jiajing, Hu Dingding, Song Rui, Tan Shiqi, Li Yuqing, Zhang Shengnan, ZHU Tingshao, Zhao Nan.(2022). Life satisfaction prediction model optimization based on text data enhancement. Chinese psychology preprints platform. Doi: 10.12074/202201.00007. 9. Causal role of ventromedial prefrontal cortex in implicit cognitive reappraisal Published: 2022-08-02 Click: 1389 Download: 691 Summary of content: Emotion regulation is very important for maintaining individual mental health and adapting to social life. However, previous studies mainly focused on explicit emotion regulation, but our understanding of the cognitive neural mechanism of implicit emotion regulation is still very limited. To reveal the brain region that is central to implicit emotion regulation, this study used transcranial direct current stimulation, transcranial direct current stimulation, transcranial direct current stimulation, transcranial direct current stimulation, transcranial direct current stimulation, transcranial direct current stimulation, transcranial direct current stimulation, transcranial direct current stimulation, transcranial direct current stimulation, transcranial direct current stimulation, transcranial direct current stimulation, tDCS activated the medial prefrontal cortex, especially ventromedial prefrontal cortex (vmPFC), to investigate the causal role of this brain region in implicit emotion regulation. The results showed that the VMPFC-activated group (experimental group, n = 40) reported less negative emotions when viewing negative images than the tDCS pseudo-stimulus group (control group, n = 40) under the implicit cognitive reappraisal primo condition. Meanwhile, the amplitude of late positive potential (LPP) induced by negative images is lower (LPP is an objective indicator of emotional experience intensity). At the same time, the experimental group showed lower occipital P1 amplitude (P1 is an objective indicator of early visual attention) when viewing negative images than the control group. These results indicate that activating the medial prefrontal lobe represented by vmPFC can not only enhance the effect of implicit emotion regulation, but also reduce the early attention allocation of subjects to negative stimuli. This study is the first attempt to investigate prime-induced implicit emotion regulation by using tDCS technology. The results of this study not only indicate the key role of medial prefrontal cortex represented by vmPFC in implicit cognitive reappraisal, but also point out potential neural regulatory targets for enhancing implicit emotion regulation ability for clinical application research. The article links: http://psych.chinaxiv.org/abs/202208.00011 Gao Kexiang, Zhang Yueyao, Li Sijin, Yuan Jiajin, Li Hong, Zhang Dandan.(2023). The causal role of the ventromedial prefrontal lobe in implicit cognitive reappraisal. Acta Psychologica Sinica,55(02),210-223. 10. A tutorial on the application of Bayesian Mixed effects model in psychology Published Time: 2022-10-17 Click: 1166 Download: 655 Summary of content: Compared with traditional methods, Bayesian mixed effect model has unique advantages in processing hierarchical structure of data and providing more intuitive statistical results. These advantages make it increasingly popular in psychological research. However, the introduction of applying Bayesian mixed effect model to psychological research is still lacking in China. Therefore, this paper first Outlines the basic concepts and principles of Bayesian mixed effect model, and shows how to understand fixed effects and random effects, how to use brms toolkit of R language to set Bayesian mixed effect model, and how to use prior prediction to test self-defined reasonable prior distribution. And how to use Bayesian factors for hypothesis testing. With its strong flexibility, Bayesian mixed effect model can be applied to a variety of psychological research. The article links: http://psych.chinaxiv.org/abs/202210.00098v3 Pan Wanke, Wen Xiujuan, Jin Haiyang.(2022). Application of Bayesian Mixed effect model in Psychology. Chinese psychology preprints platform. Doi: 10.12074/202210.00098 V3. · Highly downloaded papers monthly in 2022 January: Optimization of a predictive model of life satisfaction Enhanced by Text data Published: 2022-01-04 Views: 5991 Downloads: 700 Summary of content: [Objective] With the development of network big data and machine learning methods, more and more researches combine text analysis and machine learning to predict satisfaction. In the study on the establishment of life satisfaction prediction model, aiming at the difficulty of obtaining a large amount of effective annotated data, this study proposes to optimize the life satisfaction prediction model based on text data enhancement. [Methods] After adapting the Dalian Dictionary of Science and Technology, the 357 living conditions were described as the original text, and the life satisfaction scale was self-scored as the mark. The text data were enhanced through EDA and back translation, and the prediction model was established by traditional machine learning algorithm. [Results] The results showed that the predictive ability of each model was greatly improved after the revision of the dictionary. After data enhancement, only the linear regression model was observed to improve the translation and EDA. The Pearson correlation coefficient between the predicted value and the actual value of the Ridge regression model using the original data for training is the highest, reaching 0.4131. [Conclusion] The improvement of feature extraction accuracy can optimize the current life satisfaction prediction model, but for the life satisfaction prediction model based on word frequency, text data enhancement based on back translation and EDA may not be very suitable. The article links: http://psych.chinaxiv.org/abs/202201.00007 Chen Jiajing, Hu Dingding, Song Rui, Tan Shiqi, Li Yuqing, Zhang Shengnan, ZHU Tingshao, Zhao Nan.(2022). Life satisfaction prediction model optimization based on text data enhancement. Chinese psychology preprints platform. Doi: 10.12074/202201.00007. February: Standing up for close others: The relationship effect on moral courage across harm/care and fairness contexts Published Time: 2022-02-06 Views: 5385 Downloads: 708 Summary of content: Moral courage, standing up for others and intervening when a norm is violated, is viewed as a virtue in modern societies. However, it remains unclear how moral courage varies in interpersonal relationships and across moral contexts. Two studies were designed to test the effect of relationship type (close or distant) between the bystander and the victim on moral courage across harm/care and fairness contexts. The results showed that participants reported greater levels of moral courage when the victim was their family member or friend (vs. a stranger), and this relationship effect was stronger in the harm/care (vs. fairness) context. In addition, anger, a moral emotion, served a mediation role in the relationship effect on moral courage in both moral contexts. Taken together, the current findings demonstrate a relationship effect on the intentions of moral courage, especially in the harm/care context, suggesting that the relationship (between bystander and victim) and the context (harm/care vs. fairness) should be considered in understanding interventions against a norm violation. The article links: http://psych.chinaxiv.org/abs/202202.00009 Recommended way of reference: Wu, S.T.,Nudelman,G.,& Chen Y.Y. (2022).Standing up for close others: The relationship effect on moral courage across harm/care and fairness contexts. PsyChinaXiv.doi: 10.12074/202202.00009. March: A Python Introduction to the Psychology of Big Data [V2] Published time: 2022-03-18 Views: 10,410 Downloads: 2983 Summary of content: Taking Jiujiuwen.com as an example, this paper introduces the research methods of big data psychology in detail. Text data collected from user experiments are used to extract the word frequency features, train the machine learning model, and then use the learning model to predict the life satisfaction corresponding to the crawling articles on Jiujiuwen.com, helping the beginners of big data research to have an intuitive feeling of the whole processing process. Through specific examples, this paper introduces the word frequency calculation of text used by Python and sentiment dictionary, and completes the training, testing and application of machine learning model with scikit-learn library, combined with the attached source program, so as to facilitate the direct operation of readers. This paper preliminarily introduces the big data research method of machine learning modeling based on text word frequency. The introduction of the technology is relatively basic, and the main emphasis is on how to apply the technology, while the introduction of the technology principle is less. The article links: http://psych.chinaxiv.org/abs/202203.00020 Lu Sihua, Song Mengyao, Mo Liuling, Li Dongqi, Zhu Tingshao.(2022). A Python introduction to the Psychology of Big Data. Chinese psychology preprints platform. Doi: 10.12074/202203.00020. April: A nonparametric cognitive diagnostic computer adaptive test that takes into account topic option information Published Time: 2022-04-06 Views: 1681 Downloads: 883 Summary of content: In order to make full use of the choice information, two kinds of non-parametric choice selection strategies and variable length termination rules for processing the choice information of multiple choice questions in CD-CAT are proposed. The results of the simulation study show that: (1) the classification accuracy of the two non-parametric selection strategies is higher than that of the parametric selection strategies under the fixed length condition; (2) The two nonparametric selection strategies have more balanced question bank usage than the parametric selection strategies; (3) The non-parametric selection strategy has higher classification accuracy under the two new variable length termination rules; (4) Both nonparametric selection strategies are applicable to multiple choice CD-CAT situations, and users can choose one of them for test analysis. The article links: http://psych.chinaxiv.org/abs/202204.00028 Journal of Psychology Sun Xiaojian, Guo Lei.(2022). A non-parametric cognitive diagnostic computer adaptive test considering topic choice Information. Acta Psychologica Sinica, 54(09),1137-1150. May: Exploration and research of Change point Analysis based on response time in detecting accelerated response Published time: 2022-05-14 Views: 7,091 Downloads: 1,368 Summary of content: Compared with traditional discrete response data, response time as continuous data can provide more information. change point analysis (change point analysis) is a relatively new technique in the field of psychology and education. On the one hand, this paper makes a comprehensive summary and analysis of the application of change point analysis in the field of psychometric measurement. On the other hand, the two kinds of change-point analysis statistics based on the response data are extended to the response time data, and the change-point analysis technique is applied to the detection of the abnormal response mode: speededness and speededness. Two test methods, likelihood ratio test and Wald test, were used to detect abnormal response patterns under the condition of known and unknown item parameters respectively. The results show that the proposed method has high testing power for the detection of accelerated response behavior, and can well control the Class I error rate. The empirical data analysis further indicates that the method used in this paper has application value. The article links: http://psych.chinaxiv.org/abs/202205.00105 Journal of Psychology Zhong Xiaoyuan, Yu Xiaofeng, Miao Ying, Qin Chunying, Peng Yafeng, Tong Hao.(2022). Exploration of change point analysis based on response time data in detecting accelerated responses -- known and unknown item parameters. Acta Psychologica Sinica, 54(10),1277-1292. June: Co-existing patterns of post-traumatic stress disorder and depressive symptoms in primary and secondary school students after disasters Published: 2022-06-19 Views: 1116 Downloads: 572 Summary of content: In order to reveal the co-existence pattern of post-traumatic stress disorder (PTSD) and depression in primary and secondary school students after the earthquake, this study conducted a questionnaire survey on primary and secondary school students in disaster areas one year after Wenchuan earthquake and Ya 'an earthquake respectively, and constructed a co-existence symptom network based on Gaussian graph model and Bayesian hill-climbing algorithm. The results showed that the overlapping symptoms of PTSD and depression and the symptoms of emotional numbness played a bridging role in the coexistence network of the two under the framework of DSM-IV. The results of subnetwork detection were different from the symptom boundaries of DSM-IV. Intrusion symptoms and avoidance symptoms in PTSD were specific symptoms that were different from depression, and intrusion symptoms stimulated avoidance symptoms in most cases. In the co-existing mode, depressive symptoms often trigger PTSD symptoms. The above results have been cross-verified in Wenchuan and Ya 'an samples, which can be extended to a certain extent. The article links: http://psych.chinaxiv.org/abs/202206.00161 Journal of Psychology The paper has been published, and the citation format can be referred to: Wang Wenchao, Yuan Hao, Wu Xinchun.(2022). Coexisting pattern of post-traumatic stress disorder and depressive symptoms in primary and secondary school students after disaster. Acta Psychologica Sinica,54(12),1503-1527. July: The Relationship between morpheme awareness, Chinese character recognition and lexical knowledge of Chinese children in the lower grades of primary school -- a cross-lag study Published Time: 2022-07-07 Click: 4629 Download: 620 Summary of content: A total of 146 primary school children in the first grade were selected as the research subjects. Three follow-up tests were conducted for 2 years to investigate the changes in the developmental relationship between morpheme awareness, Chinese character recognition and vocabulary knowledge of primary school students from the first to the third grade. After controlling for phonological awareness, rapid naming, orthographic awareness, general cognitive ability, and autoregressive effect, the results showed that: (1) Chinese character recognition in first grade significantly predicted homophone awareness and homophone awareness in second grade; (2) Vocabulary knowledge in first grade significantly predicted complex morpheme awareness and Chinese character recognition in second grade; (3) Chinese character recognition and vocabulary knowledge in the second grade predicted the homophone awareness, homophone awareness and complex morpheme awareness in the third grade. (4) Homomorpheme awareness in the second grade had a significant predictive effect on the third grade word knowledge. The results showed that Chinese character recognition and vocabulary knowledge of primary school students from the first to the third grade had predictive effects on morpheme awareness. Among the prediction effects of three morpheme awareness on Chinese character recognition and word knowledge, only homomorpheme awareness can significantly predict word knowledge. The relationship between morpheme awareness, Chinese character recognition and lexical knowledge has changed and has the characteristics of stages. The article links: http://psych.chinaxiv.org/abs/202207.00043 Journal of Psychology Xia Yue, Xie Ruibo, Wang Zhenliang, Ruan Shifang, Wu Xinchun.(2022). The Developmental Relationship between Morpheme awareness, Chinese character Recognition and lexical knowledge of Chinese children in the lower grades of primary school: A cross-lag study. Acta Psychologica Sinica,54(08),905-916. August: Causal role of ventromedial prefrontal cortex in implicit cognitive reappraisal Published: 2022-08-02 Click: 1389 Download: 691 Summary of content: Emotion regulation is very important for maintaining individual mental health and adapting to social life. However, previous studies mainly focused on explicit emotion regulation, but our understanding of the cognitive neural mechanism of implicit emotion regulation is still very limited. To reveal the brain region that is central to implicit emotion regulation, this study used transcranial direct current stimulation, transcranial direct current stimulation, transcranial direct current stimulation, transcranial direct current stimulation, transcranial direct current stimulation, transcranial direct current stimulation, transcranial direct current stimulation, transcranial direct current stimulation, transcranial direct current stimulation, transcranial direct current stimulation, transcranial direct current stimulation, tDCS activated the medial prefrontal cortex, especially ventromedial prefrontal cortex (vmPFC), to investigate the causal role of this brain region in implicit emotion regulation. The results showed that the VMPFC-activated group (experimental group, n = 40) reported less negative emotions when viewing negative images than the tDCS pseudo-stimulus group (control group, n = 40) under the implicit cognitive reappraisal primo condition. Meanwhile, the amplitude of late positive potential (LPP) induced by negative images is lower (LPP is an objective indicator of emotional experience intensity). At the same time, the experimental group showed lower occipital P1 amplitude (P1 is an objective indicator of early visual attention) when viewing negative images than the control group. These results indicate that activating the medial prefrontal lobe represented by vmPFC can not only enhance the effect of implicit emotion regulation, but also reduce the early attention allocation of subjects to negative stimuli. This study is the first attempt to investigate prime-induced implicit emotion regulation by using tDCS technology. The results of this study not only indicate the key role of medial prefrontal cortex represented by vmPFC in implicit cognitive reappraisal, but also point out potential neural regulatory targets for enhancing implicit emotion regulation ability for clinical application research. The article links: http://psych.chinaxiv.org/abs/202208.00011 Journal of Psychology Gao Kexiang, Zhang Yueyao, Li Sijin, Yuan Jiajin, Li Hong, Zhang Dandan.(2023). The causal role of the ventromedial prefrontal lobe in implicit cognitive reappraisal. Acta Psychologica Sinica,55(02),210-223. September: Implementation of Bayesian Analysis of Variance in JASP Published Time: 2022-09-27 Click: 9629 Download: 436 Summary of content: Bayesian statistical methods for hypothesis testing - Bayesian factors - are increasingly used in psychological research. The Bayesian factor quantifies the evidence supporting the hypothesis or model, and then, based on its size, makes a judgment about which hypothesis or model is more supported by the current data. However, there is a lack of introduction to the principle and application of Bayesian factor analysis. This paper first introduces the basic idea and calculation principle of Bayeux square error analysis, and then shows how to analyze Bayeux square error analysis and how to interpret and report the results of five commonly used psychological experimental designs in JASP (single-factor inter-group design, single-factor intra-group design, two-factor inter-group design, two-factor intra-group design and two-factor mixed design) combined with case data. Bayesian analysis of variance provides an effective alternative to traditional analysis of variance and is a powerful tool for researchers to make statistical inference. The article links: http://psych.chinaxiv.org/abs/202209.00140 Yunhong Wang, Don van den Bergh, Frederik Aust, Alexander Ly, Eric-Jan Wagenmakers, Chuanpeng Hu.(2022). Implementation of Bayesian Analysis of Variance in JASP. Chinese psychology preprints platform. Doi: 10.12074/202209.00140 V1. October: Application of Bayesian Mixed Effect Model in Psychology [V3] Published Time: 2022-10-17 Click: 1166 Download: 655 Summary of content: Compared with traditional methods, Bayesian mixed effect model has unique advantages in processing hierarchical structure of data and providing more intuitive statistical results. These advantages make it increasingly popular in psychological research. However, the introduction of applying Bayesian mixed effect model to psychological research is still lacking in China. Therefore, this paper first Outlines the basic concepts and principles of Bayesian mixed effect model, and shows how to understand fixed effects and random effects, how to use brms toolkit of R language to set Bayesian mixed effect model, and how to use prior prediction to test self-defined reasonable prior distribution. And how to use Bayesian factors for hypothesis testing. With its strong flexibility, Bayesian mixed effect model can be applied to a variety of psychological research. The article links: http://psych.chinaxiv.org/abs/202210.00098 Pan Wanke, Wen Xiujuan, Jin Haiyang.(2022). Application of Bayesian Mixed effect model in Psychology. Chinese psychology preprints platform. Doi: 10.12074/202210.00098 V3. November: A meta-analysis of the relationship between perceived Social support and Student Academic Achievement: The mediating role of learning engagement Published Time: 2022-11-10 Views: 3534 Downloads: 273 Summary of content: Academic achievement is an important indicator to measure students' learning cognitive ability and test their learning effect, which is significantly affected by perceived social support and learning engagement, etc. Previous studies have investigated the mechanism of the combined action of these two factors on academic achievement, but the strength of the relationship between perceived social support and its subtypes and academic achievement is unclear. The effects of mediating effect and moderating effect on the relationship between the two are still unclear. Therefore, the current study uses a meta-analysis method to test the reliability of effect size, the mediating effect of learning engagement and a series of moderating effects. A total of 41 original literatures, including 78 studies, were included in this study. The results showed that: (1) Perceived social support and subtypes showed a significant positive correlation with academic achievement, but the effect value was small, that is, there was a weak correlation between the two. In addition, perceived social support and subtypes positively predicted learning engagement, and the effect size of learning engagement was higher than that of academic achievement. (2) School years only had a significant moderating effect on perceived teacher support. Academic achievement indicators moderated the relationship between perceived social support and subtypes and academic achievement, while economic level and cultural background had no significant moderating effect. (3) Learning engagement partially mediates the effects of perceived social support and subtypes on academic achievement, and the mediating effect only exists in middle school group, but not in high school group. The article links: http://psych.chinaxiv.org/abs/202211.00135 Journal: Advances in Psychological Science The article has been published, and the citation format can be referred to: Wu Jiahui, Fu Hailun, Zhang Yuhuan.(2023). A meta-analysis of the relationship between perceived Social support and student academic achievement: The mediating role of learning engagement. Advances in Psychological Science,31(4),552-569. December: Suggested translation of "Theory of Mind" as "mental speculation" Published: 2022-12-23 Views: 9371 Downloads: 267 Summary of content: The term "theory of mind" refers to the ability to recognize the mental states (goals, intentions, attention, beliefs, knowledge, desires, emotions, etc.) of oneself and others. It is not only an important branch of psychology and neuroscience, but also has a wide range of applications in the humanities and social sciences. It is also a promising development direction in the field of artificial intelligence. In the Chinese context, its meaning has reached a consensus, but its Chinese translation has not reached a complete unity. Taking "theory of mind" as the key word, this study searched the academic journal subdatabase of CNKI database, obtained 421 eligible Chinese literatures after screening, and analyzed them to determine the development and use of the translation of "theory of mind". Based on the fact that "theory of mind" in the field of research and application actually refers to the situation of psychological speculation, and the feasibility and basis of translating "theory" into "speculation" in English, it is finally suggested to take "psychological speculation" as the Chinese translation of "theory of mind". The article links: http://psych.chinaxiv.org/abs/202212.00088 Zhao Yuxuan, Zeng Yi, Qin Yulin.(2022). It is suggested to translate "Theory of Mind" into "psychological speculation". Chinese psychology preprints platform. Doi: 10.12074/202212.00088 V1. Step 3 Summarize Preprint exchange solves the publication delay problem, improves the efficiency of academic exchange, and thus brings a series of outstanding benefits, including avoiding disputes over the right of first publication, promoting open access and open review, helping to improve the influence of scholars, especially young scholars, and providing publishing channels for more negative results and non-mainstream views. The China Psychology Preprint platform received 273 papers in 2022, about the same as in 2021 (284 papers). In the future, the publicity and construction of China Psychology Preprint Platform will be strengthened, and it is planned to build China's open science platform of psychology based on PsyChinaXiv, so as to further help the open science process of Chinese psychological science. In order to benefit more psychology workers, we welcome you to build our psychology preprint platform with us. Here, we sincerely invite contribute to the Chinese psychology preprints platform (http://psych.chinaxiv.org). If you have any questions, please feel free to contact us. Email: PsyChinaXiv@psych.ac.cn |
