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Is It Guilty in Here, or is It Just Me? Individual Differences in
Guilt and Its Effect on Cognitive Processing Candace Lassiter, Janet J. Boseovski, Vanessa Alvarado
University of North Carolina at Greensboro
Introduction
Emotions have profound effects on cognition in adults, including the facilitation
or impairment of cognitive processes (Ashby, Isen, & Turken, 1999). Less is
known about the impact of emotion on cognition in early childhood. Research
indicates that happiness results in improved performance on the Dimensional
Change Card Sort (DCCS; Qu & Zelazo, 2007), a measure of children’s
cognitive flexibility. Conversely, sadness has no influence on DCCS
performance.
However, emotions vary not in only valence, but in self-regulatory focus (i.e.,
approach vs. avoidance). An approach focus centers on achieving a positive
end-state, whereas an avoidant focus is associated with averting a negative
end-state (Sheikh & Janoff-Bulman, 2010). Like positive emotions, approach
emotions increase top-down processing and thus, increase cognitive flexibility
(Baas, De Dreu, & Nijstad, 2008).
Guilt is a negative emotion, but those who experience it have an approach
focus centered on making moral amends with a victim (Sheikh & Janoff-
Bulman, 2010). The present research examined whether guilt would increase
3- to 5-year-old's cognitive flexibility as assessed by the DCCS task.
Method
Guilt was induced using a mishap paradigm (Kochanska & Aksan, 2006) in
which children were led to believe that they had broken a valuable possession
of the experimenter (i.e., toy puppy). After the toy broke, the experimenter sat
in silence for 60 seconds. Children's behavioral responses were coded to
obtain a guilt score.
Children in the neutral condition received a wooden block to play with for 60
seconds while the experimenter sat in silence.
All participants completed the DCCS, in which they were required to sort
picture cards by one rule and then sort by a different rule (i.e., color and
shape). Children received a score of 1 for sorting at least 4 post-switch cards
correctly or a score of 0 for sorting fewer than 4 correctly.
Rigged Toy Results
Conclusion
References
•Ashby, F., Isen, A. M., & Turken, A. U. (1999). A neuropsychological theory of positive affect and its influence on cognition. Psychological Review, 106(3), 529-550.
•De Dreu, C. W., Baas, M., & Nijstad, B. A. (2008). Hedonic tone and activation level in the mood-creativity link: Toward a dual pathway to creativity model. Journal of Personality and
Social Psychology, 94(5), 739-756.
•Kochanska, G., & Aksan, N. (2006). Children's Conscience and Self-Regulation. Journal of Personality, 74(6), 1587-1617.
•Marcovitch, S., Boseovski, J. J., & Knapp, R. J. (2007). Use it or lose it: Examining preschoolers' difficulty in maintaining and executing a goal. Developmental Science, 10(5),
559-564.
•Qu, L., & Zelazo, P. (2007). The facilitative effect of positive stimuli on 3-year-olds' flexible rule use. Cognitive Development, 22(4), 456-473.
•Sheikh, S., & Janoff-Bulman, R. (2010). The “shoulds” and “should nots” of moral emotions: A self-regulatory perspective on shame and guilt. Personality and Social Psychology Bulletin,
36(2), 213-224.
Guilt facilitated the DCCS performance of 3- and 4-year-olds, but not 5-year-
olds.
These results suggest that the self-regulatory focus of an emotion, rather than
valence alone, affects children’s cognitive flexibility. Guilt may have facilitated
DCCS performance because it encourages top-down processing (De Dreu et
al., 2008).
The differential effects of guilt as compared to sadness on children’s DCCS
performance (see Qu & Zelazo, 2007) suggest that negative emotions should
be studied individually to determine their impact on children’s cognition.
It is possible that guilt did not facilitate the performance of older children
because these children were already highly skilled on the DCCS (i.e., near
ceiling performance). Accordingly, future research will examine whether guilt
improves the performance of 5- and 6-year-olds on a more complex measure
of cognitive flexibility (Goal-neglect DCC; Mar covitch, Boseovski, & Knapp,
2007)
A series of logistic regression analyses were conducted to assess the effects of
guilt on DCCS performance.
Age, condition, and their interaction were examined as predictors of DCCS
performance. The overall model was significant, χ2(1, N = 100) = 11.76, p = .01.
There was only a significant effect of age (β = 0.07, Wald = 5.54, p = .02).
None of the other predictors were significant at the p < .05 level.
To assess how individual differences in guilt scores affected children’s
performance, another analysis included only the children in the guilt condition.
Age, guilt scores, and their interaction were used as predictors. The overall
model was significant, χ2(1, N = 55) = 13.15, p < .01. There was a significant
effect of age and guilt scores. These effects were qualified by a significant
interaction (β = -0.12, Wald = 4.07, p = .04).
A final analysis assessed how the performance of children with high guilt
differed from that of children in the neutral group. Age, condition, and their
interaction were used as predictors. The overall model was significant χ2(1, N =
70) = 13.05, p < .01. There was a significant effect of age (β = 0.08, Wald =
4.17, p = .04) and a marginal effect of condition (β = 8.47, Wald = 2.95, p =
.08), but no significant interaction (β = -0.12, Wald = 2.29, p = .13).
0
20
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3 4 5
% P
as
sin
g D
CC
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Age
Low Guilt
High Guilt
0
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3 4 5
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Neutral
High Guilt
Figure 1. Percentage of Children Passing
DCCS by Age and Guilt Level
Figure 1. Percentage of Children Passing
DCCS by Age and Condition