Korean Journal of Psychology : General
[ Article ]
The Korean Journal of Psychology: General - Vol. 38, No. 3, pp.401-417
ISSN: 1229-067X (Print)
Print publication date 25 Sep 2019
Received 22 Jul 2019 Accepted 16 Sep 2019
DOI: https://doi.org/10.22257/kjp.2019.

정서예측 및 회상의 정확성에 있어 특질불안의 효과

안소현1) ; 김근영2) ; 양재원3),
1)가톨릭대학교 서울성모병원
2)서강대학교 심리학과
3)가톨릭대학교 심리학과
Trait anxiety as a moderator for the accuracy of affective forecasting and recall
So Hyun Ahn1) ; Geunyoung Kim2) ; Jae-Won Yang3),
1)Department of Psychiatry, The Catholic University of Korea Seoul St. Mary’s Hospital
2)Department of Psychology, Sogang University
3)Department of Psychology, The Catholic University of Korea

Correspondence to: 양재원, 가톨릭대학교 심리학과, (14662) 경기도 부천시 원미구 지봉로 43 Tel: 02-2164-5538, E-mail: jwyang@catholic.ac.kr


정서에 대한 예측은 한 개인의 행동을 결정하는데 중요한 역할을 하지만, 정서예측 및 회상의 정확도는 낮은 편이다. 본 연구는 특질불안에 따라 정서 예측과 예측의 회상, 경험의 회상에서 충격편향이 발견하는지를 확인하고자 고안되었다. 106명의 대학생들은 1차 시점에서 특질불안과 우울을 측정한 후, 2주 후에 있을 중간고사에서 경험하게 될 긍정, 부정정서를 예측토록 하였다. 중간고사가 종료된 직후 당시의 정서를 2차 시점에서 측정하였고, 2주 후 3차 시점에서 1차 시점시 예측한 정서를 회상해 보도록 하였다. 또 다시 2주 후의 4차 시점에서는 2차 시점인 중간고사에서 경험한 정서를 회상하고, 앞으로 있을 기말고사에 대한 정서를 예측해 보도록 하였다. 4번에 걸친 측정치를 바탕으로 예측, 예측 회상, 경험 회상시의 편향도를 계산한 결과, 긍정정서에 있어 정서예측과 예측치 회상의 편향이 확인되었다. 반면 특질불안은 긍정정서와 부정정서 모두에 있어 정서예측 및 예측회상의 편향과 관련이 되었다. 특질불안의 효과는 우울의 효과를 통제한 이후에도 유의미하였다. 이 연구 결과의 의미와 심리치료에의 함의에 대해 논의하였다.


Anticipating the affective consequences of their decisions are important for people's behaviors, yet the accuracy of affective forecasting and affective recall tend to be not great. The present study focused on the impact of trait anxiety as a source of individual differences on the biases of affective forecasting and recall. Two weeks before the midterm exam, 106 college students were asked to predict positive and negative feelings that they anticipated to experience during the midterm exams. The trait anxiety and depression were also measured during the Time 1. On the midterm exam day, the participants reported the affects they were experiencing (Time 2). Two weeks after the exam (Time 3), the participants were asked to recall the affects they reported during the Time 1. Finally, two weeks after the Time 3, the participants were requested to recall the affects they reported during the Time 2 (Time 4). Results indicated that the participants showed the impact bias in the affective forecasting and recall of affective forecasting, only in regard to positive affects. On the other hand, trait anxiety was related to the impact biases in both positive and negative affects. This tendency was generally found even the impact of depression was statistically controlled. The implications of present results to the nature of affective forecasting and the psychotherapy for anxiety were discussed.


affective forecasting, affective recall, anxiety, depression


정서예측, 정서 회상, 불안, 우울


본 연구의 일부 내용은 2017년도 한국임상심리학회 봄학술대회에서 포스터 발표되었음.


  • 김정택 (1978). 특성불안과 사회성과의 관계: Spielberg의 STAI를 중심으로. 고려대학교 석사학위 청구논문.
  • 전겸구, 최상진, 양병창 (2001). 통합적 한국판 CES-D 개발. 한국심리학회지: 건강, 6(1), 59-76.
  • 한덕웅, 이장호, 전겸구 (1996). Spielberger 의 상태-특성 불안검사 Y형의 개발. 한국심리학회지: 건강, 1(1), 1-14.
  • Barlow, D. H. (2000). Unraveling the mysteries of anxiety and its disorders from the perspective of emotion theory. American Psychologist, 55(11), 1247-1263. [https://doi.org/10.1037/0003-066X.55.11.1247]
  • Beck, A. T. (1976). Cognitive therapy and the emotional disorders. Oxford, UK: International Universities Press.
  • Beck, A. T., & Clark, D. A. (1988). Anxiety and depression: An information processing perspective. Anxiety Research, 1(1), 23-36. [https://doi.org/10.1080/10615808808248218]
  • Buehler, R., & McFarland, C. (2001). Intensity bias in affective forecasting: The role of temporal focus. Personality and Social Psychology Bulletin, 27(11), 1480-1493. [https://doi.org/10.1177/01461672012711009]
  • Burns, D. D., & Eidelson, R. J. (1998). Why are depression and anxiety correlated? A test of the tripartite model. Journal of Consulting and Clinical Psychology, 66(3), 461-473. [https://doi.org/10.1037/0022-006X.66.3.461]
  • Butler, G., & Mathews, A. (1983). Cognitive processes in anxiety. Advances in Behaviour Research and Therapy, 5(1), 51-62. [https://doi.org/10.1016/0146-6402(83)90015-2]
  • Butler, G., & Mathews, A. (1987). Anticipatory anxiety and risk perception. Cognitive Therapy and Research, 11(5), 551-565. [https://doi.org/10.1007/BF01183858]
  • Clark, L. A., & Watson, D. (1991). Tripartite model of anxiety and depression: Psychometric evidence and taxonomic implications. Journal of Abnormal Psychology, 100(3), 316-336. [https://doi.org/10.1037/0021-843X.100.3.316]
  • Cohen, J., Cohen, W., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). Hillsdale, NJ: Erlbaum.
  • 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. [https://doi.org/10.1177/0146167206294201]
  • Gilbert, D. T., Pinel, E. C., Wilson, T. D., Blumberg, S. J., & Wheatley, T. P. (1998). Immune neglect: A source of durability bias in affective forecasting. Journal of Personality and Social Psychology, 75(3), 617-638. [https://doi.org/10.1037/0022-3514.75.3.617]
  • Hankin, B. L., Fraley, R. C., Lahey, B. B., & Waldman, I. D. (2005). Is depression best viewed as a continuum or discrete category? A taxometric analysis of childhood and adolescent depression in a population-based sample. Journal of Abnormal Psychology, 114(1), 96-110. [https://doi.org/10.1037/0021-843X.114.1.96]
  • Hoerger, M., & Quirk, S. W. (2010). Affective forecasting and the Big Five. Personality and Individual Differences, 49(8), 972-976. [https://doi.org/10.1016/j.paid.2010.08.007]
  • Hoerger, M., Quirk, S. W., Chapman, B. P., & Duberstein, P. R. (2012). Affective forecasting and self-rated symptoms of depression, anxiety, and hypomania: Evidence for a dysphoric forecasting bias. Cognition and Emotion, 26(6), 1098-1106. [https://doi.org/10.1080/02699931.2011.631985]
  • Kashdan, T. B., & Steger, M. F. (2006). Expanding the topography of social anxiety: An experience-sampling assessment of positive emotions, positive events, and emotion suppression. Psychological Science, 17(2), 120-128. [https://doi.org/10.1111/j.1467-9280.2006.01674.x]
  • Marroquín, B., & Nolen-Hoeksema, S. (2015). Event prediction and affective forecasting in depressive cognition: Using emotion as information about the future. Journal of Social and Clinical Psychology, 34(2), 117-134. [https://doi.org/10.1521/jscp.2015.34.2.117]
  • Meyvis, T., Ratner, R. K., & Levav, J. (2010). Why don't we learn to accurately forecast feelings? How misremembering our predictions blinds us to past forecasting errors. Journal of Experimental Psychology: General, 139(4), 579-589. [https://doi.org/10.1037/a0020285]
  • Mineka, S., & Sutton, S. K. (1992). Cognitive biases and the emotional disorders. Psychological Science, 3(1), 65-69. [https://doi.org/10.1111/j.1467-9280.1992.tb00260.x]
  • Mineka, S., Watson, D., & Clark, L. A. (1998). Comorbidity of anxiety and unipolar mood disorders. Annual Review of Psychology, 49(1), 377-412. [https://doi.org/10.1146/annurev.psych.49.1.377]
  • Norton, P. J., & Price, E. C. (2007). A meta-analytic review of adult cognitive-behavioral treatment outcome across the anxiety disorders. The Journal of Nervous and Mental Disease, 195(6), 521-531. [https://doi.org/10.1097/01.nmd.0000253843.70149.9a]
  • Radloff, L. S. (1977). The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1(3), 385-401. [https://doi.org/10.1177/014662167700100306]
  • Safer, M. A., & Keuler, D. J. (2002). Individual differences in misremembering pre-psychotherapy distress: Personality and memory distortion. Emotion, 2(2), 162-178. [https://doi.org/10.1037/1528-3542.2.2.162]
  • Safer, M. A., Levine, L. J., & Drapalski, A. L. (2002). Distortion in memory for emotions: The contributions of personality and post-event knowledge. Personality and Social Psychology Bulletin, 28(11), 1495-1507. [https://doi.org/10.1177/014616702237577]
  • Spielberger, C. D., Gorsuch, R. L., & Lushene, R. E. (1970). Manual for the State-Trait Anxiety Inventory. Palo Alto, CA: Consulting Psychologists Press.
  • Wenze, S. J., & Gunthert, K. C. (2018). Affective forecasting bias: Liability or protective factor? Journal of Cognitive Psychotherapy, 32(4), 263-271. [https://doi.org/10.1891/0889-8391.32.4.263]
  • Wenze, S. J., Gunthert, K. C., & German, R. E. (2012). Biases in affective forecasting and recall in individuals with depression and anxiety symptoms. Personality and Social Psychology Bulletin, 38(7), 895-906. [https://doi.org/10.1177/0146167212447242]
  • Wilson, T. D., & Gilbert, D. T. (2005). Affective forecasting: Knowing what to want. Current Directions in Psychological Science, 14(3), 131-134. [https://doi.org/10.1111/j.0963-7214.2005.00355.x]
  • Wilson, T. D., Meyers, J., & Gilbert, D. T. (2003). “How happy was I, anyway?” A retrospective impact bias. Social Cognition, 21(6), 421-446. [https://doi.org/10.1521/soco.21.6.421.28688]
  • 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(5), 821-836. [https://doi.org/10.1037/0022-3514.78.5.821]
  • Yuan, J. W., & Kring, A. M. (2009). Dysphoria and the prediction and experience of emotion. Cognition and Emotion, 23(6), 1221-1232. [https://doi.org/10.1080/02699930802416453]