删除或更新信息,请邮件至freekaoyan#163.com(#换成@)

特质正念对初中生学业情绪预测偏差的影响

本站小编 Free考研考试/2022-01-01

孙琳1,2, 段涛1, 刘伟1(), 陈宁1()
1上海师范大学心理学系, 上海 200234
2烟台文化旅游职业学院, 山东 烟台 264003
收稿日期:2021-02-04出版日期:2021-11-25发布日期:2021-09-23
通讯作者:刘伟,陈宁E-mail:liuwei@shnu.edu.cn;chenning@shnu.edu.cn

基金资助:国家社科基金后期资助项目(18FKS007)

The influence of dispositional mindfulness on the academic affective forecasting biases of middle school students

SUN Lin1,2, DUAN Tao1, LIU Wei1(), CHEN Ning1()
1Department of Psychology, Shanghai Normal University, Shanghai 200234, China
2Yantai Vocational College of Culture and Tourism, Yantai 264003, China
Received:2021-02-04Online:2021-11-25Published:2021-09-23
Contact:LIU Wei,CHEN Ning E-mail:liuwei@shnu.edu.cn;chenning@shnu.edu.cn






摘要/Abstract


摘要: 基于真实考试和实验室模拟情境, 考察特质正念对初中生学业情绪预测偏差的影响及其机制。结果表明:(1)学业领域存在情绪预测偏差; (2)特质正念影响情绪预测偏差, 特质正念水平高的初中生情绪预测偏差相对更小, 反之则更大; (3)注意聚焦在特质正念影响情绪预测偏差中存在中介作用。本研究初步提出正念的“扩大-联结”解释模型, 推进了学业领域情绪预测的研究, 具有良好的生态学效度和切实的教育实践价值。


表1研究1描述性统计结果(M ± SD)
情境 特质正念分组 情绪预测 情绪体验 相对偏差 绝对偏差
目标实现组 低特质正念组(n = 61) 3.79 ± 1.11 3.13 ± 1.35 -0.66 ± 1.31 1.16 ± 0.89
高特质正念组(n = 61) 3.93 ± 1.09 3.35 ± 1.20 -0.58 ± 0.93 0.82 ± 0.73
目标未实现组 低特质正念组(n = 72) 3.18 ± 1.25 2.72 ± 1.21 -0.46 ± 1.42 1.10 ± 1.00
高特质正念组(n = 73) 2.92 ± 1.10 2.84 ± 1.17 -0.08 ± 1.05 0.74 ± 0.74

表1研究1描述性统计结果(M ± SD)
情境 特质正念分组 情绪预测 情绪体验 相对偏差 绝对偏差
目标实现组 低特质正念组(n = 61) 3.79 ± 1.11 3.13 ± 1.35 -0.66 ± 1.31 1.16 ± 0.89
高特质正念组(n = 61) 3.93 ± 1.09 3.35 ± 1.20 -0.58 ± 0.93 0.82 ± 0.73
目标未实现组 低特质正念组(n = 72) 3.18 ± 1.25 2.72 ± 1.21 -0.46 ± 1.42 1.10 ± 1.00
高特质正念组(n = 73) 2.92 ± 1.10 2.84 ± 1.17 -0.08 ± 1.05 0.74 ± 0.74


表2研究2描述性统计结果(M ± SD)
情境 特质正念分组 情绪预测 情绪体验 相对偏差 绝对偏差
成功反馈 低特质正念组(n = 36) 3.07 ± 1.02 3.27 ± 1.05 0.19 ± 1.13 0.90 ± 0.70
高特质正念组(n = 34) 3.44 ± 1.00 3.50 ± 1.10 0.06 ± 0.76 0.57 ± 0.50
失败反馈 低特质正念组(n = 36) 2.93 ± 1.17 2.58 ± 1.29 -0.69 ± 1.52 1.33 ± 0.99
高特质正念组(n = 34) 2.10 ± 1.19 2.76 ± 1.20 -0.74 ± 0.91 0.91 ± 0.73

表2研究2描述性统计结果(M ± SD)
情境 特质正念分组 情绪预测 情绪体验 相对偏差 绝对偏差
成功反馈 低特质正念组(n = 36) 3.07 ± 1.02 3.27 ± 1.05 0.19 ± 1.13 0.90 ± 0.70
高特质正念组(n = 34) 3.44 ± 1.00 3.50 ± 1.10 0.06 ± 0.76 0.57 ± 0.50
失败反馈 低特质正念组(n = 36) 2.93 ± 1.17 2.58 ± 1.29 -0.69 ± 1.52 1.33 ± 0.99
高特质正念组(n = 34) 2.10 ± 1.19 2.76 ± 1.20 -0.74 ± 0.91 0.91 ± 0.73


表3研究3描述性统计结果(M ± SD)
情境 特质正念分组 情绪预测 情绪体验 相对偏差 绝对偏差
挑战成功 低特质正念组(n = 32) 4.05 ± 0.46 3.80 ± 0.62 -0.26 ± 0.57 0.46 ± 0.41
高特质正念组(n = 39) 4.11 ± 0.57 4.08 ± 0.63 -0.03 ± 0.31 0.21 ± 0.24
挑战失败 低特质正念组(n = 33) 2.21 ± 0.87 2.83 ± 0.78 0.62 ± 1.02 0.83 ± 0.85
高特质正念组(n = 32) 2.14 ± 0.74 2.41 ± 0.89 0.27 ± 0.78 0.55 ± 0.61

表3研究3描述性统计结果(M ± SD)
情境 特质正念分组 情绪预测 情绪体验 相对偏差 绝对偏差
挑战成功 低特质正念组(n = 32) 4.05 ± 0.46 3.80 ± 0.62 -0.26 ± 0.57 0.46 ± 0.41
高特质正念组(n = 39) 4.11 ± 0.57 4.08 ± 0.63 -0.03 ± 0.31 0.21 ± 0.24
挑战失败 低特质正念组(n = 33) 2.21 ± 0.87 2.83 ± 0.78 0.62 ± 1.02 0.83 ± 0.85
高特质正念组(n = 32) 2.14 ± 0.74 2.41 ± 0.89 0.27 ± 0.78 0.55 ± 0.61


表4注意聚焦的中介模型检验
回归方程(n = 136) 拟合指标 系数显著性
结果变量 预测变量 R R2 F β t p
绝对偏差 0.24 0.06 8.13
特质正念 -0.29 -2.85 0.005
注意聚焦 0.28 0.08 11.76
特质正念 0.46 3.43 0.001
绝对偏差 0.33 0.11 8.10
特质正念 -0.21 -2.01 0.046
注意聚焦 -0.18 -2.77 0.006

表4注意聚焦的中介模型检验
回归方程(n = 136) 拟合指标 系数显著性
结果变量 预测变量 R R2 F β t p
绝对偏差 0.24 0.06 8.13
特质正念 -0.29 -2.85 0.005
注意聚焦 0.28 0.08 11.76
特质正念 0.46 3.43 0.001
绝对偏差 0.33 0.11 8.10
特质正念 -0.21 -2.01 0.046
注意聚焦 -0.18 -2.77 0.006



图1注意聚焦在特质正念对情绪预测偏差中的中介作用
图1注意聚焦在特质正念对情绪预测偏差中的中介作用


表5注意聚焦总效应、直接效应及中介效应分解表
效应 效应值 Boot
标准误
BootCI
下限
BootCI
上限
效应占比
总效应 -0.29 0.10 -0.49 -0.09
直接效应 -0.21 0.10 -0.41 -0.004 72.41%
间接效应 -0.08 0.04 -0.17 -0.02 27.59%

表5注意聚焦总效应、直接效应及中介效应分解表
效应 效应值 Boot
标准误
BootCI
下限
BootCI
上限
效应占比
总效应 -0.29 0.10 -0.49 -0.09
直接效应 -0.21 0.10 -0.41 -0.004 72.41%
间接效应 -0.08 0.04 -0.17 -0.02 27.59%







[1] Adam W. H. (2016). The mindful personality: Associations between dispositional mindfulness and the Five Factor Model of personality. Personality and Individual Differences, 91, 154-158.
[2] Baer R. A., Smith G. T., Hopkins J., Krietemeyer J., & Toney L. (2006). Using self-report assessment methods to explore facets of mindfulness. Assessment, 13(1), 27-45.
[3] Barsics C., van der Linden M., & D′Argembeau A. (2016). Frequency, characteristics, and perceived functions of emotional future thinking in daily life. The Quarterly Journal of Experimental Psychology, 69(2), 217-233.
[4] Bishop S. R., Lau M., Shapiro S., Carlson L., Anderson N. D., Carmody J., … Devins D. (2004). Mindfulness: A proposed operational definition. Clinical Psychology: Science and Practice, 11(3), 230-241.
[5] Brenner C. J., & Ben-Zeev D. (2014). Affective forecasting in schizophrenia: Comparing predictions to real-time Ecological Momentary Assessment (EMA) ratings. Psychiatric Rehabilitation Journal, 37(4), 316-320.
[6] Brown K. W., Ryan R. M., & Creswell J. D. (2007). Mindfulness: Theoretical foundations and evidence for its salutary effects. Psychological Inquiry, 18(4), 211-237.
[7] Chen, N. (2014). On teachers’ emotional forecasting accuracy and influencing factors (Unpublished doctorial dissertation). Shanghai Normal University.
[ 陈宁. (2014). 教师的情绪预测准确性及其影响因素 (博士学位论文). 上海师范大学.]
[8] Chen N., Lu J. M., & Wang H. B. (2013). Interpersonal empathy gap can be overcome: Taking teachers forecasting students’ emotion as an example. Acta Psychologica Sinica, 45(12), 1368-1380.
[ 陈宁, 卢家楣, 汪海彬. (2013). 人际共情鸿沟可以跨越:以教师预测学生情绪为例. 心理学报, 45(12), 1368-1380.]
[9] Chen N., Lu J. M., & Wang H. B. (2014). The example anchoring effect in the process of interpersonal emotional forecasting. Journal of Psychological Science, 37(4), 930-935.
[ 陈宁, 卢家楣, 汪海彬. (2014). 人际间情绪预测过程中的样例锚定效应. 心理科学, 37(4), 930-935.]
[10] Chen Y., Zhao X., Huang J. H., Chen S. Y., & Zhou R. L. (2011). Effects of mindfulness meditation on emotion regulation: Theories and neural mechanism. Advances in Psychological Science, 19(10), 1502-1510.
[ 陈语, 赵鑫, 黄俊红, 陈思佚, 周仁来. (2011). 正念冥想对情绪的调节作用: 理论与神经机制. 心理科学进展, 19(10), 1502-1510.]
[11] Cordonnier A., Barnier A. J., & Sutton J. (2016). Scripts and information units in future planning: Interactions between a past and a future planning task. The Quarterly Journal of Experimental Psychology, 69(2), 324-338.
[12] Deng, Y. Q. (2009). Effect of mental awareness training on mental health of college students (Unpublished master’s thesis). Capital Normal University, Beijing.
[ 邓玉琴. (2009). 心智觉知训练对大学生心理健康水平的干预效果 (硕士学位论文). 首都师范大学.]
[13] Dong, Y., & Yu, G. L. (2007). The development and application of an academic emotions questionnaire. Acta Psychologica Sinica, 39(5), 852-860.
[ 董妍, 俞国良. (2007). 青少年学业情绪问卷的编制及应用. 心理学报, 39(5), 852-860. ]
[14] Dore B. P., Meksin R., Mather M., Hirst W., & Ochsner K. N. (2016). Highly accurate prediction of emotions surrounding the attacks of September 11, 2001 over 1-, 2-, and 7-year prediction intervals. Journal of Experimental Psychology: General, 145(6), 788-795.
[15] Dunn E. W., Brackett M. A., Ashton-James C., Schneiderman E., & Salovey P. (2007). On emotionally intelligent time travel:Individual differences in affective forecasting ability. Personality and Social Psychology Bulletin, 33(1), 85-93.
[16] Elwyn G., Stiel M., Durand M.-A., & Boivin J. (2011). The design of patient decision support interventions: Addressing the theory-practice gap. Journal of Evaluation in Clinical Practice, 17(4), 565-574.
[17] Emanuel A. S., Updegraff J. A., Kalmbach D. A., & Ciesla J. A. (2010). The role of mindfulness facets in affective forecasting. Personality and Individual Differences, 49(7), 815-818.
[18] Gautam S., Bulley A., von Hippel W., & Suddendorf T. (2017). Affective forecasting bias in preschool children. Journal of Experimental Child Psychology, 159, 175-184.
[19] Geng X. W., Fan L. L., & Zhao L. N. (2019). The influence of learning agency beliefs on affective forecasting bias in middle school students’ learning behavior. Journal of Psychological Science, 42(1), 56-61.
[ 耿晓伟, 范琳琳, 赵李娜. (2019). 学习能动性信念对初中生学习行为中情感预测偏差的影响. 心理科学, 42(1), 56-61.]
[20] Geng, X. W., & Jiang, H. Y. (2017). Influence of regulatory focus and regulatory fit on impact biases in affective forecast. Acta Psychologica Sinica, 49(12), 1537-1547.
[ 耿晓伟, 姜宏艺. (2017). 调节定向和调节匹配对情感预测中影响偏差的影响. 心理学报, 49(12), 1537-1547.]
[21] Geng X. W., Liu D., & Niu Y. H. (2020). Analytical thinking reduces impact bias in affective forecast. Acta Psychologica Sinica, 52(10), 1168-1177.
[ 耿晓伟, 刘丹, 牛燕华. (2020). 分析思维降低情感预测影响偏差. 心理学报, 52(10), 1168-1177. ]
[22] Geng, X. W., & Zhang, F. (2015). The impact bias in affective forecasting: Focalism or unforeseen adaptation? Journal of Psychological Science, 38(5), 1201-1206.
[ 耿晓伟, 张峰. (2015). 情感预测的影响偏差——聚焦错觉还是适应忽视? 心理科学, 38(5), 1201-1206.]
[23] Gilbert D. T., & Wilson T.D. (2009). Why the brain talks to itself: Sources of error in emotional prediction. Philosophical Transactions of the Royal Society B, 364(1521), 1335-1341.
[24] Green J. D., Davis J. L., Luchies L. B., Coy A. E., van Tongeren D. R., Reid C. A., & Finkel E. J. (2013). Victims versus perpetrators: Affective and empathic forecasting regarding transgressions in romantic relationships. Journal of Experimental Social Psychology, 49(3), 329-333.
[25] Hair J. F., Black W. C., Babin B. J., & Anderson R. E. (2010). Multivariate Data Analysis: A global perspective. Englewood Cliffs, NJ: Prentice Hall.
[26] Hayes A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York: Guilford.
[27] Hezel D. M., Stewart S. E., Riemann B. C., & McNally R. J. (2019). Affective forecasting accuracy in obsessive compulsive disorder. Behavioural and Cognitive Psychotherapy, 47(5), 573-584.
[28] Hill C. L., & Updegraff J.A. (2012). Mindfulness and its relationship to emotional regulation. Emotion, 12(1), 81-0.
[29] Hoerger M., Chapman B., & Duberstein P. (2016). Realistic affective forecasting: The role of personality. Cognition and Emotion, 30(7), 1304-1316.
[30] Hoerger M., Chapman B. P., Epstein R. M., & Duberstein P. R. (2012). Emotional intelligence: A theoretical framework for individual differences in affective forecasting. Emotion, 12(4), 716-725.
[31] Hoerger M., & Quirk S. W. (2010). Affective forecasting and the Big Five. Personality and Individual Differences, 49(8), 972-976.
[32] Hoerger M., Scherer L. D., & Fagerlin A. (2016). Affective forecasting and medication decision making in breast- cancer prevention. Health Psychology, 35(6), 594-603.
[33] Hong P. Y., Lishner D. A., Vogels E. A., & Ebert A. R. (2016). The effect of a mindfulness practice and dispositional mindfulness on affective forecasting. Basic and Applied Social Psychology, 38(3), 153-165.
[34] Kabat-Zinn J. (2003). Mindfulness-based interventions in context: Past, present, and future. Clinical Psychology: Science and Practice, 10(2), 144-156.
[35] Kong D. T. (2015). The role of mindfulness and neuroticism in predicting acculturative anxiety forecasting error. Mindfulness, 6, 1387-1400.
[36] Kopp L., Atance C. M., & Pearce S. (2017). “Things aren’t so bad!”: Preschoolers overpredict the emotional intensity of negative outcomes. British Journal of Developmental Psychology, 35, 623-627.
[37] Kumar A., & Epley N. (2018). Undervaluing gratitude: Expressers misunderstand the consequences of showing appreciation. Psychological Science, 29(9), 1423-1435.
[38] Lau T., Morewedge C. K., & Cikara M. (2016). Overcorrection for social-categorization information moderates impact bias in affective forecasting. Psychological Science, 27(10), 1340-1351.
[39] Lench H. C., Levine L. J., Perez K., Carpenter Z. K., Carlson S. J., Bench S. W., & Wan Y. (2019). When and why people misestimate future feelings: Identifying strengths and weaknesses in affective forecasting. Journal of Personality and Social Psychology, 116(5), 724-742.
[40] Lench H. C., Safer M. A., & Levine L. J. (2011). Focalism and the underestimation of future emotion: When it’s worse than imagine. Emotion, 11(2), 278-285.
[41] Levine E. E., & Cohen T.R. (2018). You can handle the truth: Mispredicting the consequences of honest communication. Journal of Experimental Psychology: General, 147(9), 1400-1429.
[42] Loehr V. G., & Baldwin A.S. (2014). Affective forecasting error in exercise: Differences between physically active and inactive individuals. Sport, Exercise, and Performance Psychology, 3(3), 177-183.
[43] Luo H. B., Xu F. M., Guo Y. Y., Zheng Q. Q., Li B., & Zhang H. (2013). Focusing illusion in affective forecasting. Advances in Psychological Science, 21(8), 1482-1492.
[ 罗寒冰, 徐富明, 郭永玉, 郑秋强, 李彬, 张慧. (2013). 情感预测中的聚焦错觉. 心理科学进展, 21(8), 1482-1492.]
[44] Mata A., & Sim?o C. (2019). Karmic forecasts: The role of justice in forecasts about self and others. Motivation Science, Online First Publication, December 19.
[45] Miloyan B., & Suddendorf T. (2015). Feelings of the future. Trends in Cognitive Sciences, 19(4), 196-200.
[46] Pauketat J. V. T., Moons W. G., Chen J. M., Mackie D. M., & Sherman D. K. (2016). Self-affirmation and affective forecasting: Affirmation reduces the anticipated impact of negative events. Motivation and Emotion, 40(5), 750-759.
[47] Peng, Y. Q., & Ju, M. Z. (2013). The “heart” of the working mechanism of mindfulness: Attention or attitude? Journal of Psychological Science, 36(4), 1009-1013.
[ 彭彦琴, 居敏珠. (2013). 正念机制的核心: 注意还是态度? 心理科学, 36(4), 1009-1013.]
[48] Pollmann M. M. H., & Finkenauer C. (2009). Empathic forecasting: How do we predict other people’s feelings? Cognition and Emotion, 23(5), 978-1001.
[49] Rasmussen K. W., & Berntsen D. (2014). “I can see clearly now”: The effect of cue imageability on mental time travel. Memory and Cognition, 42(7), 1063-1075.
[50] Robins C. J., Keng S.-L., Ekblad A. G., & Brantley J. G. (2012). Effects of mindfulness-based stress reduction on emotional experience and expression: A randomized controlled trial. Journal of Clinical Psychology, 68(1), 117-131.
[51] Ruby M. B., Dunn E. W., Perrino A., Gillis R., & Viel S. (2011). The invisible bene?ts of exercise. Health Psychology, 30, 67-74.
[52] Sevdalis N., & Harvey N. (2007). Biased forecasting of postdecisional affect. Psychological Science, 18(8), 678-681.
[53] Shapiro S. L., Carlson L. E., Astin J. A., & Freedman B. (2006). Mechanisms of mindfulness. Journal of Clinical Psychology, 62(3), 373-386.
[54] Sun L., Duan T., & Chen N. (2020). On the causes and interventions of affective forecasting bias. Advances in Psychological Science, 28(12), 2018-2026.
[ 孙琳, 段涛, 陈宁. (2020). 情绪预测偏差的成因及干预. 心理科学进展, 28(12), 2018-2026. ]
[55] Teper R., Segal Z. V., & Inzlicht M. (2013). Inside the mindful mind: How mindfulness enhances emotion regulation through improvements in executive control. Current Directions in Psychological Science, 22(6), 449-454.
[56] Thompson R. J., Spectre A., Insel P. S., Mennin D., Gotlib I. H., & Gruber J. (2017). Positive and negative affective forecasting in remitted individuals with bipolar I disorder, and major depressive disorder, and healthy controls. Cognitive Therapy and Research, 41(5), 673-685.
[57] Watson D., Clark L. A., & Tellegen A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54, 1063-1070.
[58] Wilson T. D. , & Gilbert, D. T.(2003) . Affective forecasting. In P. Z. Mark (Ed.), Advances in experimental social psychology Vol. 35 (pp. 345-411). San Diego, CA: Academic Press.
[59] Wilson T. D., & Gilbert D.T. (2005). Affective forecasting: Knowing what to want. Current Directions in Psychological Science, 14(3), 131-134.
[60] Wilson T. D., Meyers J., & Gilbert D. T. (2001). Lessons from the past: Do people learn from experience that emotional reactions are short-lived?. Personality and Social Psychology Bulletin, 27(12), 1648-1661.
[61] Wilson T. D., Wheatley T., Meyers J. M., Gilbert D. T., & Axsom D. (2000). Focalism: A source of durability bias in affective forecasting. Journal of Personality and Social Psychology, 78, 821-836.
[62] Zelenski J. M., Whelan D. C., Nealis L. J., Besner C. M., Santoro M. S., & Wynn J. E. (2013). Personality and affective forecasting: Trait introverts underpredict the hedonic benefits of acting extraverted. Journal of Personality and Social Psychology, 104(6), 1092-1108.
[63] Zhang P., Lu J. M., & Zhang M. (2012). The effect of mood on the probability judgment of future events. Journal of Psychological Science, 35(1), 100-104.
[ 张萍, 卢家楣, 张敏. (2012). 心境对未来事件发生概率判断的影响. 心理科学, 35(1), 100-104.]
[64] Zhu, P. Y. (2010). An experimental study on emotional states affecting high school students’ remote association (Unpublished master’s thesis). Anhui Normal University, China.
[ 朱平原. (2010). 情绪状态影响高中生远距离联想的实验研究 (硕士学位论文). 安徽师范大学.]




[1]张孟可, 李晴, 尹首航, 陈安涛. 冲突水平的变化诱发冲突适应[J]. 心理学报, 2021, 53(2): 128-138.
[2]柯晓晓, 齐惠紫, 梁家辉, 金欣园, 高婕, 张明霞, 汪亚珉. 中国人整体性思维特征的情境评估法及其应用[J]. 心理学报, 2021, 53(12): 1299-1309.
[3]孙莎莎, 李小兵, 李宝山, 刘承宜, 黄敏儿. 正念维持适应的机制:来自心率变异性自相似的初步证据[J]. 心理学报, 2018, 50(12): 1413-1427.
[4]刘潞潞, 卢家楣, 和美, 周建设, 肖晶, 罗劲. 先苦后乐:英语乐学大学生在英语学习时情绪反应的脑认知特点[J]. 心理学报, 2017, 49(11): 1414-1427.
[5]董妍,俞国良. 青少年学业情绪问卷的编制及应用[J]. 心理学报, 2007, 39(05): 852-860.





PDF全文下载地址:

http://journal.psych.ac.cn/xlxb/CN/article/downloadArticleFile.do?attachType=PDF&id=5088
相关话题/心理 统计 科学 检验 论文