Please wait a minute...
Acta Psychologica Sinica    2018, Vol. 50 Issue (9) : 1051-1060     DOI: 10.3724/SP.J.1041.2018.01051
Reports of Empirical Studies |
The effect of violent exposure on online aggressive behavior of college students: The role of ruminative responses and internet moral
Tonglin JIN1,2,Guizhi LU2,Lu ZHANG2,3,Yuntena WU1(),Xiangzhong JIN4
1 College of Education and Science, Inner Mongolia Normal University, Hohhot 010022, China
2 School of Education, Harbin Normal University, Harbin 150025, China
3 School of Social Sciences, Xinyang College, Xinyang 464000, China
4 Tulufan Electric Power Supply Company, State Grid, Tulufan 838000, China
Download: PDF(529 KB)   HTML Review File (1 KB) 
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks     Supporting Info
Guide   
Abstract  

With the development of science, the internet has become an indispensable tool in college students' study and daily life. However, online aggressive behavior has become a much more serious problem for college students in recent few years. It is necessary to find out which factors have significant effects on online aggressive behavior of college students. According to the previous researches, the violent exposure was found to be able to predict aggressive behavior significantly. In addition, some theorists also have confirmed that ruminative responses and aggressive behavior are strongly related. However, as a special form of aggressive behavior, there was little research focused on online aggressive behavior and violent exposure. So the purposes of the present study is to explore the relationship between violent exposure, ruminative responses, internet moral and online aggressive behavior as well as the mechanism the effect of violent exposure on online aggressive behavior of college students.
A total sample of 1000 college students from some universities was selected, with 326 males and 508 females, the average age was 20.74-year-old. All subjects were gathered in the class and finished the questionnaires within about 30 minutes. The questionnaires included the Violent Exposure Questionnaire (VEQ), Online Aggressive Behavior Scale (OABS), Ruminative Responses Scale (RSS), and the Internet Moral Questionnaire (IMQ). Data was collected and analyzed with SPSS 24.0, Amos 21.0 and Mplus 7.4, and the bias-corrected percentile Bootstrap method was used to analyze the role of ruminative responses and internet moral between violent exposure and college students' online aggressive behavior. A single factor analysis was calculated to test the common method variance. Results showed that the study was in-existent common method variance.
The results show that: (1)The relationships between each pair of violent exposure, ruminative responses, internet moral and online aggressive behavior are correlated significantly and positively, the correlation coefficient ranges 0.07 from 0.96 (p < 0.01); (2)The structural equation model (SEM) reveals that the data fits the theoretical model well (c 2/df = 2.45, CFI = 0.99, TLI = 0.98, SRMR = 0.03, RMSEA = 0.04). (3) Violent exposure has a significant direct effect on online aggressive behavior (β = 0.29, p < 0.01); Violent exposure has a significant direct effect on ruminative responses (β = 0.23, p < 0.01); Ruminative responses has a significant direct effect on online aggressive behavior (β = 0.17, p < 0.01); Internet moral has a significant direct effect on online aggressive behavior (β = -0.17, p < 0.01); Interaction has a significant direct effect on online aggressive behavior (β = -0.17, p < 0.01). (4)Violent exposure has a significant indirect effect on online aggressive behavior through ruminative responses, and the confidence interval of 95% is [0.025, 0.061]; (5) Internet moral moderates the relation between violent exposure and online aggressive behavior of college students, that is, there is a significant positive relation between violent exposure and online aggressive behavior under the low internet moral level, however, there is a non-significant relation between violent exposure and online aggressive behavior under the high internet moral level.
It is concluded that in the structural equation model of violent exposure on online aggressive behavior of college students, ruminative responses plays a partial mediating role and internet moral moderates the direct effect. These findings suggest some measures of prevention and treatment for college students’ online aggressive behavior should be taken. Schools and families should set up a good core self-evaluation system in order to help them improve their moral level and eradicate online aggressive behavior.

Keywords college students      violent exposure      ruminative responses      internet moral      online aggressive behavior     
ZTFLH:  B844  
  B849:C91  
Fund: 
Issue Date: 27 July 2018
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
Tonglin JIN
Guizhi LU
Lu ZHANG
Yuntena WU
Xiangzhong JIN
Cite this article:   
Tonglin JIN,Guizhi LU,Lu ZHANG, et al. The effect of violent exposure on online aggressive behavior of college students: The role of ruminative responses and internet moral[J]. Acta Psychologica Sinica, 2018, 50(9): 1051-1060.
URL:  
http://journal.psych.ac.cn/xlxb/EN/10.3724/SP.J.1041.2018.01051     OR     http://journal.psych.ac.cn/xlxb/EN/Y2018/V50/I9/1051
  
模型 χχ2 df χ2/df TLI CFI RMSEA 模型比较检验
模型比较 Δχ2 Δdf
基准模型(4因子) 8038.39 2408 3.35 0.89 0.91 0.05
三因子模型一 14498.64 2414 6.01 0.55 0.56 0.08 2.vs.1 6460.25** 12
三因子模型二 14113.42 2414 5.85 0.74 0.73 0.08 3.vs.1 6075.03** 12
三因子模型三 15996.39 2414 6.63 0.69 0.68 0.08 4.vs.1 7958.00** 12
单因子模型 26516.27 2414 10.98 0.46 0.44 0.11 5.vs.1 18477.88** 12
  
变量 M ± SD 1 2 3 4 5 6 7 8 9
1. 暴力环境接触均分 1.58 ± 0.85 1
2. 症状反刍 1.83 ± 0.54 0.22** 1
3. 反省深思 1.96 ± 0.61 0.20** 0.69** 1
4. 强迫思考 2.04 ± 0.62 0.20** 0.75** 0.76** 1
5. 反刍思维均分 1.94 ± 0.54 0.22** 0.89** 0.91** 0.93** 1
6. 网络道德均分 4.85 ± 1.16 -0.14** 0.03 0.07* 0.09* 0.07* 1
7. 工具性攻击 1.16 ± 0.32 0.26** 0.25** 0.16** 0.16** 0.20** -0.17** 1
8. 反应性攻击 1.13 ± 0.31 0.30** 0.25** 0.18** 0.17** 0.21** -0.16** 0.83** 1
9. 网络攻击行为均分 1.15 ± 0.30 0.29** 0.26** 0.17** 0.17** 0.22** -0.17** 0.96** 0.95** 1
  
  
  
1 Bandura, A. ( 1977). Social learning theory. Englewood Cliffs, NJ: Prentice Hall.
2 Bonanno, R. A., & Hymel, S. ( 2013). Cyber bullying and internalizing difficulties: Above and beyond the impact of traditional forms of bullying. Journal of Youth and Adolescence, 42( 5), 685-697.
url: http://link.springer.com/10.1007/s10964-013-9937-1
3 Bradshaw C. P., Rodgers C. R. R., Ghandour L. A., & Garbarino J . ( 2009). Social-cognitive mediators of the association between community violence exposure and aggressive behavior. School Psychology Quarterly, 24( 3), 199-210.
url: http://doi.apa.org/getdoi.cfm?doi=10.1037/a0017362
4 Brady S. S., Gorman-Smith D., Henry D. B., & Tolan P. H . ( 2008). Adaptive coping reduces the impact of community violence exposure on violent behavior among African American and Latino male adolescents. Journal of Abnormal Child Psychology, 36( 1), 105-115.
url: http://link.springer.com/10.1007/s10802-007-9164-x
5 Buckley, K. E., & Anderson, C. A . ( 2006). A theoretical model of the effects and consequences of playing video games. In P. Vorderer & J. Bryant (Eds.), Playing video games: Motives, responses, and consequences (pp.363-378). Mahwah, NJ: LEA.
url: http://psycnet.apa.org/record/2006-05034-024
6 Burgers, D. E., & Drabick, D. A. G . ( 2016). Community violence exposure and generalized anxiety symptoms: Does executive functioning serve a moderating role among low income, urban youth?. Journal of Abnormal Child Psychology, 44( 8), 1543-1557.
url: http://link.springer.com/10.1007/s10802-016-0144-x
7 Butcher F., Galanek J. D., Kretschmar J. M., & Flannery D. J . ( 2015). The impact of neighborhood disorganization on neighborhood exposure to violence, trauma symptoms, and social relationships among at-risk youth. Social Science & Medicine, 146, 300-306.
8 Carnagey N. L., Anderson C. A., & Bushman B. J . ( 2007). The effect of video game violence on physiological desensitization to real-life violence. Journal of Experimental Social Psychology, 43( 3), 489-496.
url: http://linkinghub.elsevier.com/retrieve/pii/S0022103106000825
9 Chapin, J. ( 2016). Adolescents and cyber bullying: The precaution adoption process model. Education and information technologies, 21( 4), 719-728.
url: http://link.springer.com/article/10.1007/s10639-014-9349-1
10 Chen, X., &Feng, Z. Z . ( 2015). Trait rumination and deficits of executive functions. Chinese Journal of Clinical Psychology, 23( 6), 1065-1069.
url: http://en.cnki.com.cn/Article_en/CJFDTotal-ZLCY201506027.htm
11 [ 陈骁, 冯正直 . ( 2015). 特质反刍思维与执行控制功能缺陷. 中国临床心理学杂志, 23( 6), 1065-1069.]
url: http://www.cqvip.com/QK/97961X/201506/667181212.html
12 DeWall C. N., Anderson C. A., & Bushman B. J . ( 2011). The general aggression model: Theoretical extensions to violence. Psychology of Violence, 1( 3), 245-258.
url: http://psycnet.apa.org/journals/vio/1/3/245/
13 Dickson K. S., Ciesla J A., & Zelic K . ( 2017). The role of executive functioning in adolescent rumination and depression. Cognitive Therapy and Research, 41( 1), 62-72.
url: http://link.springer.com/10.1007/s10608-016-9802-0
14 Egan V., Hughes N., & Palmer E. J . ( 2015). Moral disengagement, the dark triad, and unethical consumer attitudes. Personality and Individual Differences, 76, 123-128.
url: http://www.sciencedirect.com/science/article/pii/S019188691400703X
15 Eisenlohr-Moul T. A., Peters J. R., Pond P. S. Jr., & Dewall C. N . ( 2016). Both trait and state mindfulness predict lower aggressiveness via anger rumination: A multilevel mediation analysis. Mindfulness, 7( 3), 713-726.
url: http://link.springer.com/10.1007/s12671-016-0508-x
16 Feinstein B. A., Bhatia V., & Davila J . ( 2014). Rumination mediates the association between cyber-victimization and depressive symptoms. Journal of Interpersonal Violence, 29( 9), 1732-1746.
pmid: 24346650 url: http://journals.sagepub.com/doi/10.1177/0886260513511534
17 Finkelhor D., Turner H., Ormrod R., & Hamby S. L . ( 2009). Violence, abuse, and crime exposure in a national sample of children and youth. Pediatrics, 124( 5), 1411-1423.
pmid: 23700186 url: http://pediatrics.aappublications.org/cgi/doi/10.1542/peds.2009-0467
18 García-Sancho E., Salguero J. M., & Fernández-Berrocal P . ( 2016). Angry rumination as a mediator of the relationship between ability emotional intelligence and various types of aggression. Personality and Individual Differences, 89, 143-147.
url: http://linkinghub.elsevier.com/retrieve/pii/S0191886915006303
19 Grigg, D. W . ( 2010). Cyber aggression: Definition and concept of cyberbullying. Journal of Psychologists and Counsellors in Schools, 20( 2), 143-156.
20 Guerra, R. C., & White, B. A . ( 2017). Psychopathy and functions of aggression in emerging adulthood: Moderation by anger rumination and gender. Journal of Psychopathology and Behavioral Assessment, 39( 1), 35-45.
21 Han, X., &Yang, H. F . ( 2009). Chinese Version of Nolen-Hoeksema Ruminative Responses Scale (RRS) used in 912 college students: Reliability and validity. Chinese Journal of Clinical Psychology, 17( 5), 550-551.
22 [ 韩秀, 杨宏飞 . ( 2009). Nolen-hoeksema反刍思维量表在中国的试用. 中国临床心理学杂志, 17( 5), 550-551.]
23 Howard A. L., Kimonis E. R., Mu?oz L. C., & Frick P. J . ( 2012). Violence exposure mediates the relation between callous-unemotional traits and offending patterns in adolescents. Journal of Abnormal Child Psychology, 40( 8), 1237-1247.
url: http://link.springer.com/10.1007/s10802-012-9647-2
24 Hu, Y., &Fan, C. Y . ( 2013). A Review of Researches into Adolescents' Cyberbullying Behavior. Chinese Journal of Special Education, 5, 72-84.
url: http://en.cnki.com.cn/Article_en/CJFDTOTAL-ZDTJ201305017.htm
25 [ 胡阳, 范翠英 . ( 2013). 青少年网络欺负行为研究述评与展望. 中国特殊教育, 5, 72-84.]
url: http://d.wanfangdata.com.cn/Periodical/zgtsjy201305016
26 Jin T. L., Lu G. Z., Zhang L., Jin X. Z., & Wang, X Y . ( 2017). The effect of trait anger on online aggressive behavior of college students: The role of moral disengagement. Psychological Development and Education, 33( 5), 605-613.
27 [ 金童林, 陆桂芝, 张璐, 金祥忠, 王晓雨 . ( 2017). 特质愤怒对大学生网络攻击行为的影响:道德推脱的作用. 心理发展与教育, 33( 5), 605-613.]
url: http://d.wanfangdata.com.cn/Periodical_xlfzyjy201705011.aspx
28 Jin T. L., Lu G. Z., Zhang L., Yan M. Z., & Liu, Y L . ( 2016). The effect of college students’ interpersonal needs on their online deviant behavior: The mediating effect of social anxiety. Chinese Journal of Special Education, 9, 84-89.
29 [ 金童林, 陆桂芝, 张璐, 闫萌智, 刘艳丽 . ( 2016). 人际需求对大学生网络偏差行为的影响:社交焦虑的中介作用. 中国特殊教育, 9, 84-89.]
url: http://d.wanfangdata.com.cn/Periodical/zgtsjy201609014
30 Kessel S. S., O'Donnell L., & Smith E . ( 2015). Trends in cyberbullying and school bullying victimization in a regional census of high school students, 2006-2012. Journal of School Health, 85( 9), 611-620.
31 Kliewer, W., &Lepore, S. J . ( 2015). Exposure to violence, social cognitive processing, and sleep problems in urban adolescents. Journal of Youth and Adolescence, 44( 2), 507-517.
pmid: 25218396 url: http://link.springer.com/10.1007/s10964-014-0184-x
32 Kokkinos C. M., Voulgaridou I., & Markos A . ( 2016). Personality and relational aggression: Moral disengagement and friendship quality as mediators. Personality and Individual Differences, 95, 74-79.
url: http://www.researchgate.net/publication/294883379_Personality_and_relational_aggression_Moral_disengagement_and_friendship_quality_as_mediators
33 Li D. M., Lei L., & Zou H . ( 2008). Characteristics and prospects of the adolescents’ deviant behaviors on internet. Chinese Journal of Clinical Psychology, 16( 1), 95-97.
url: http://en.cnki.com.cn/Article_en/CJFDTOTAL-ZLCY200801033.htm
34 [ 李冬梅, 雷雳, 邹泓 . ( 2008). 青少年网上偏差行为的特点与研究展望. 中国临床心理学杂志, 16( 1), 95-97.]
35 Litwiller, B. J., & Brausch, A. M . ( 2013). Cyber bullying and physical bullying in adolescent suicide: The role of violent behavior and substance use. Journal of Youth and Adolescence, 42( 5), 675-684.
url: http://link.springer.com/10.1007/s10964-013-9925-5
36 Liu Q. Q., Zhou Z. K., Niu G. F., & Fan C. Y . ( 2017). Mobile phone addiction and sleep quality in adolescents: Mediation and moderation analyses. Acta Psychologica Sinica, 49( 12), 1524-1536.
url: http://pub.chinasciencejournal.com/article/getArticleRedirect.action?doiCode=10.3724/SP.J.1041.2017.01524
37 [ 刘庆奇, 周宗奎, 牛更枫, 范翠英 . ( 2017). 手机成瘾与青少年睡眠质量: 中介与调节作用分析. 心理学报, 49 ( 12), 1524-1536.]
url: http://d.wanfangdata.com.cn/Periodical/xlxb201712005
38 Liu W., Tian L. L., & Lu H . ( 2014). Rumination and suicide ideation among Chinese working women: Moderating role of hope. Chinese Journal of Clinical Psychology, 22( 1), 119-122.
url: http://en.cnki.com.cn/Article_en/CJFDTOTAL-ZLCY201401027.htm
39 [ 刘旺, 田丽丽, 陆红 . ( 2014). 职业女性反刍思维与自杀意念的关系:希望的调节作用. 中国临床心理学杂志, 22( 1), 119-122.]
40 Liu Y., Zhou Z. K., Zhang C. L., Wei H., & Chen W . ( 2011). Short-term effects of violent video games on implicit aggression in different aged female students. Chinese Journal of Clinical Psychology, 19( 2), 157-159.
41 [ 刘元, 周宗奎, 张从丽, 魏华, 陈武 . ( 2011). 暴力视频游戏对不同年龄女性内隐攻击性的短时效应. 中国临床心理学杂志, 19( 2), 157-159.]
url: http://d.wanfangdata.com.cn/Periodical/zglcxlxzz201102005
42 Luo, X. L . ( 2007). Internet psycho-structure of moral trait, moral consciousness and their relationship of undergraduates (Unpublished master’s thesis). Central China Normal University, Wuhan.
43 [ 罗晓玲 . ( 2007). 大学生网络道德、道德意识及其相互关系研究(硕士学位论文). 华中师范大学, 武汉.]
44 Ma, X. H., & Lei, L. ( 2010). Adolescents’ internet morality and deviant behavior online. Acta Psychologica Sinica, 42( 10), 988-997.
url: http://en.cnki.com.cn/Article_en/CJFDTOTAL-XLXB201010005.htm
45 [ 马晓辉, 雷雳 . ( 2010). 青少年网络道德与其网络偏差行为的关系. 心理学报, 42( 10), 988-997.]
url: http://d.wanfangdata.com.cn/Periodical/xlxb201010004
46 Mcmahon S. D., Felix E. D., Halpert J. A., & Petropoulos, L. A. N. ( 2009). Community violence exposure and aggression among urban adolescents: Testing a cognitive mediator model. Journal of Community Psychology, 37( 7), 895-910.
url: http://doi.wiley.com/10.1002/jcop.v37%3A7
47 Nolen-Hoeksema, S. ( 1991). Responses to depression and their effects on the duration of depressive episodes. Journal of Abnormal Psychology, 100( 4), 569-582.
pmid: 1757671 url: http://doi.apa.org/getdoi.cfm?doi=10.1037/0021-843X.100.4.569
48 Ogunfowora, B., &Bourdage, J. S . ( 2014). Does honesty- humility influence evaluations of leadership emergence? The mediating role of moral disengagement. Personality and Individual Differences, 56( 1), 95-99.
49 Pabian, S., &Vandebosch, H. ( 2016). An investigation of short-term longitudinal associations between social anxiety and victimization and perpetration of traditional bullying and cyberbullying. Journal of youth and adolescence, 45( 2), 328-339.
url: http://link.springer.com/10.1007/s10964-015-0259-3
50 Peters J. R., Smart L. M., Eisenlohr-Moul T. A., Geiger P. J., Smith G. T., & Baer R. A . ( 2015). Anger rumination as a mediator of the relationship between mindfulness and aggression: The utility of a multidimensional mindfulness model. Journal of Clinical Psychology, 71( 9), 871-884.
url: http://doi.wiley.com/10.1002/jclp.2015.71.issue-9
51 Ruddle A., Pina A., & Vasquez E . ( 2017). Domestic violence offending behaviors: A review of the literature examining childhood exposure, implicit theories, trait aggression and anger rumination as predictive factors. Aggression and Violent Behavior, 34, 154-165.
url: http://linkinghub.elsevier.com/retrieve/pii/S1359178917300307
52 Schwartz, D., &Proctor, L. J . ( 2000). Community violence exposure and children's social adjustment in the school peer group: The mediating roles of emotion regulation and social cognition. Journal of Consulting and Clinical Psychology, 68( 4), 670-683.
url: http://doi.apa.org/getdoi.cfm?doi=10.1037/0022-006X.68.4.670
53 Slavish, D. C., & Graham-Engeland, J. E . ( 2015). Rumination mediates the relationships between depressed mood and both sleep quality and self-reported health in young adults.[J] ournal of Behavioral Medicine, 38( 2), 204-213.
54 Sotelo, J. M., & Babcock, J. C . ( 2013). Bis/bas variables as moderators of the rumination-intimate partner violence link. Journal of Family Violence, 28( 3), 233-242.
url: http://link.springer.com/10.1007/s10896-013-9500-6
55 Wang, X. C, Lei, L., Yang J. P., Gao L., & Zhao F. Q . ( 2016). Moral disengagement as mediator and moderator of the relation between empathy and aggression among Chinese male juvenile delinquents. Child Psychiatry & Human Development, 48( 2), 316-326.
56 Wei H., Zhang C. L., Zhou Z. K., Jin Q., & Tian Y . ( 2010). Long-term and short-term effects of violent media on aggression of undergraduates. Psychological Development and Education, 26( 5), 489-494.
url: http://en.cnki.com.cn/Article_en/CJFDTOTAL-XLFZ201005009.htm
57 [ 魏华, 张丛丽, 周宗奎, 金琼, 田媛 . ( 2010). 媒体暴力对大学生攻击性的长时效应和短时效应. 心理发展与教育, 26( 5), 489-494.]
58 Wells, A., &Matthews, G. ( 1996). Modelling cognition in emotional disorder: The S-Ref model. Behaviour Research and Therapy, 34( 11-12), 881-885.
pmid: 8990539 url: http://linkinghub.elsevier.com/retrieve/pii/S0005796796000502
59 Whitmer,A. J., & Gotlib, I. H . ( 2013). An attentional scope model of rumination. Psychological Bulletin, 139( 5), 1036-1061.
pmid: 23244316 url: http://doi.apa.org/getdoi.cfm?doi=10.1037/a0030923
60 Wong L. M., Bullock L. M., & Gable R. A . ( 2011). Cyberbullying: Practices to face digital aggression. Emotional and Behavioural Difficulties, 16(3), 317-325.
url: http://www.tandfonline.com/doi/abs/10.1080/13632752.2011.595098
61 Wu, M. L . ( 2013). Structural equation model: Advanced Amos practice. Chongqing: Chongqing university press.
62 [ 吴明隆 . ( 2013). 结构方程模型: Amos实务进阶. 重庆:重庆大学出版社.]
63 Wu,X. Y . ( 2012). Effects of violence clue exposure on aggressive behavior (Unpublished master’s thesis). Ningbo University.
64 [ 吴晓燕 . ( 2012). 暴力线索暴露对攻击行为的影响机制(硕士学位论文). 宁波大学.]
65 Wu X. Y., Zhu Y. J., Fang S. J., & Zhang L . ( 2012). The new progresses in research on aggression behavior. Journal of Ningbo Institute of Education, 14( 1), 56-59.
66 [ 吴晓燕, 祝阳君, 方圣杰, 张林 . ( 2012). 关于攻击行为研究的新进展. 宁波教育学院学报, 14( 1), 56-59.]
url: http://d.wanfangdata.com.cn/Periodical/nbjyxyxb201201016
67 Wu Y., Wen Z. L., Hou J. T., & Marsh H. W . ( 2011). Appropriate standardized estimates of latent interaction model without the mean structure. Acta Psychologica Sinica, 43( 10), 1219-1228.
url: http://www.researchgate.net/publication/285463406_Appropriate_standardized_estimates_of_latent_interaction_models_without_the_mean_structure
68 [ 吴艳, 温忠麟, 侯杰泰, Marsh, H. W . ( 2011). 无均值结构的潜变量交互效应模型的标准化估计. 心理学报, 43( 10), 1219-1228.]
url: http://www.cqvip.com/QK/90117X/201110/39560182.html
69 Xiong H. X., Zhang J., Ye B. J., Zheng X., & Sun P. Z . ( 2012). Common method variance effects and the models of statistical approaches for controlling it. Advances in Psychological Science, 20( 5), 757-769.
url: http://en.cnki.com.cn/Article_en/CJFDTOTAL-XLXD201205015.htm
70 [ 熊红星, 张璟, 叶宝娟, 郑雪, 孙配贞 . ( 2012). 共同方法变异的影响及其统计控制途径的模型分析. 心理科学进展, 20( 5), 757-769.]
url: http://d.wanfangdata.com.cn/Periodical/xlxdt201205014
71 Ye, B. J., & Wen, Z. L . ( 2013). A discussion on testing methods for mediated moderation models: Discrimination and integration. Acta Psychologica Sinica, 45( 9), 1050-1060.
url: <![CDATA[http://pub.chinasciencejournal.com/article/getArticleRedirect.action?doiCode=10.3724/SP.J.1041.2013.01050]]>
72 [ 叶宝娟, 温忠麟 . ( 2013). 有中介的调节模型检验方法:甄别和整合. 心理学报, 45( 9), 1050-1060.]
url: http://d.wanfangdata.com.cn/Periodical/xlxb201309011
73 Ye B. J., Zheng Q., Yao Y. M., & Zhao L . ( 2016). Moral disengagement on cyber-bullying: Mediating of internet morality and moderation of moral identity. Chinese Journal of Clinical Psychology, 24( 6), 1105-1107.
74 [ 叶宝娟, 郑清, 姚媛梅, 赵磊 . ( 2016). 道德推脱对大学生网络欺负的影响:网络道德的中介作用与道德认同的调节作用. 中国临床心理学杂志, 24( 6), 1105-1107.]
url: http://www.cqvip.com/QK/97961X/201606/670877220.html
75 Yuan,F. F., Wu, H. P, & Huang, Q. Q . ( 2016). Current situation and influencing factors of rumination of nurses suffered from workplace violence. Chinese Nursing Management, 16( 5), 610-613.
76 [ 袁芬芬, 吴惠萍, 黄茜茜 . ( 2016). 遭受工作场所暴力护士反刍性沉思水平及其影响因素分析. 中国护理管理, 16( 5), 610-613.]
url: http://d.wanfangdata.com.cn/Periodical/zghlgl201605013
77 Zhang L., Liu S., Xu Q., Wu X. Y., & Yang M. Y . ( 2017). Long-term effect of violence exposure in real-life on aggressive behaviors: A moderated mediation model. Acta Psychologica Sinica, 49( 1), 50-59.
url: http://pub.chinasciencejournal.com/article/getArticleRedirect.action?doiCode=10.3724/SP.J.1041.2017.00050
78 [ 张林, 刘燊, 徐强, 吴晓燕, 杨梦圆 . ( 2017). 日常环境中的暴力暴露对攻击行为的长期影响:一个有调节的中介模型. 心理学报, 49( 1), 50-59.]
url: http://www.cqvip.com/QK/90117X/201701/671292686.html
79 Zhao, F., &Gao, W. B . ( 2012). Reliability and validity of the Adolescent Online Aggressive Behavior Scale. Chinese Mental Health Journal, 26( 6), 439-444.
url: http://en.cnki.com.cn/Article_en/CJFDTOTAL-ZXWS201206011.htm
80 [ 赵锋, 高文斌 . ( 2012). 少年网络攻击行为评定量表编制及信效度检验. 中国心理卫生杂志, 26( 6), 439-444.]
url: http://d.wanfangdata.com.cn/Periodical/zgxlwszz201206009
81 Zhu, L. ( 2016). An investigation of the types and causes of college students’ online anomie behavior. Journal of East China Normal University (Educational Sciences), 34( 2), 88-95.
url: http://en.cnki.com.cn/Article_en/CJFDTotal-HDXK201602017.htm
82 [ 朱琳 . ( 2016). 大学生网络行为失范的类型、成因与对策. 华东师范大学学报(教育科学版), 34( 2), 88-95.]
[1] Qian DING, Yun TANG, Hua WEI, Yongxin ZHANG, Zongkui ZHOU. The relationship between relative deprivation and online gaming addiction in college students: A moderated mediation model[J]. Acta Psychologica Sinica, 2018, 50(9): 1041-1050.
[2] LU Jiamei; LIU Wei; HE Wen; WANG Junshan; CHEN Nianqu; XIE Dengfeng. The status quo of China's contemporary college students’ affective diathesis and its influencing factors[J]. Acta Psychologica Sinica, 2017, 49(1): 1-16.
[3] YING Mengting; JIANG Guangrong; YU Lixia; LU Ting. Patterns of reinforcement sensitivity for non-suicidal self-injury in college students[J]. Acta Psychologica Sinica, 2016, 48(3): 258-270.
[4] ZHOU Fan;SHI Yan. An Investigation of Female College Students’ Body Weight Perception Deviation and Its Reasons[J]. Acta Psychologica Sinica, 2014, 46(1): 101-112 .
[5] XIN Zi-Qiang,ZHANG Mei,HE Lin. Changes in College Students’ Mental Health: A Cross-Temporal Meta-Analysis[J]. , 2012, 44(5): 664-679.
[6] MA Xiao-Hui,LEI Li. Adolescents’ Internet Morality and Deviant Behavior Online[J]. , 2010, 42(10): 988-997.
[7] WANG Jing-Qiong,ZHANG Wei,ZHU Zu-De,ZHEN Shuang-Ju,MAI Yu-Jiao,LI Dong-Ping. A Modulating Model for the Impacting Factors in Self-regulated Learning of College Students[J]. , 2010, 42(02): 262-270.
[8] ZHENG Xi-Fu. The Cognitive Characteristics of Pathological Internet Users in Different Emotional Modes[J]. , 2009, 41(07): 630-638.
[9] ZHENG Xi-Fu. Cognitive Interference or Emotional Interference: Comparison of PIU College Students’ Implicit Mental Characteristics[J]. , 2008, 40(08): 920-926.
[10] Wang Daoyang, Zhang Gengli, Yao Benxian. THE DIFFERENCE OF THE NOTION FORSEX ROLES AMONG COLLEGE STUDENTS[J]. , 2005, 37(05): 658-664.
[11] Jin Shenghua,Li Xue. THE STRUCTURE OF COLLEGE STUDENTS’ WORK VALUES: INTENTIONS AND INSTRUMENTS[J]. , 2005, 37(05): 650-657.
[12] Qian Mingyi 1,2, Qi Jianli2 (1Psychology and Behavior Research Center, Tianjin 300074) (2Department of Psychology, Peking University, 100871). A COMPARATIVE STUDY ON THE DIFFERENCE BETWEEN SHAME AND GUILT AMONG CHINESE COLLEGE STUDENTS[J]. , 2002, 34(06): 74-81.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
Copyright © Acta Psychologica Sinica
Support by Beijing Magtech