When attitudes and habits don’t correspond: Self-control depletion increases persuasion but not behavior
Abstract
Changing attitudes does not necessarily involve the same psychological processes as changing behavior, yet
social psychology is only just beginning to identify the different mechanisms involved. We contribute to this
understanding by showing that the moderators of attitude change are not necessarily the moderators of behavior
change. The results of three studies (Ns = 98, 104, 137) employing an ego depletion manipulation indicate that
although people are more likely to agree with a persuasive message when executive control is reduced they are
not more likely to change their behavior. Rather, under conditions of ego depletion, attitudes became less correlated with behaviors after persuasion. Moreover, in Study 3, we provide an explanation for this phenom-
enon: People are more likely to agree with a persuasive message when depleted but are also more likely to fall back on habits that may conflict with their new evaluations. A mini meta-analysis of the data indicated that ego-
depletion had a medium effect size on the difference between attitude change and behavior change, N = 339, d = −0.51, 95% CI [−0.72, −0.29]. Jointly, these studies suggest an integrative, resource-based explanation
to attitude-behavior discrepancies subsequent to persuasion.
Avoiding harm, benefits of interpersonal listening, and social equilibrium adjustment: An applied psychology approach to side effects of organizational interventions
Guy Itzchakov, Justin B. Keeler, Walter J. Sowden, Walter Slipetz, and Kent S. Faught
Listening
Creating positive change in the direction intended is the goal of organizational interventions. Watts et al. (2021) raise this issue of “side effects,” which include changes that are unintended and often in the opposite direction of the organizational intervention. With our expertise in applied psychology, military psychiatry/neuroscience, organizational behavior, and corporate safety, we argue for three additional factors for consideration: avoiding harm, the benefits of high-quality interpersonal listening, and a discussion of side effects as a natural part of the change process. We offer these as a means of extending the conversation begun by Watts et al.
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The Moderating Effect of Performance Feedback and the Mediating Effect of Self-Set Goals on the Primed Goal-Performance Relationship
Guy Itzchakov, Gary P. Latham
Goal Setting
The effect of feedback and a self-set goal on the relationship between a goal primed in the subconscious and performance were examined in three laboratory experiments and one field experiment (n = 241, 465, 201, 74 respectively), using normative (bogus) and absolute feedback manipulations, and different performance tasks that were coded for both performance quality (i.e. creativity) and quantity. The hypothesis that providing feedback, a moderator in goal-setting theory, amplifies the causal effect of a primed goal on performance was supported. Specifically, in experiment 1, participants were randomly assigned to a 2 (prime of effective vs. ineffective performance) × 3 (positive, negative, no feedback) factorial design. The primed goal for effective performance led to higher performance than the negative primed goal. In addition, feedback, regardless of its sign, increased both task and creative performance when a primed goal for effective performance was presented but did not do so when the goal primed ineffective performance. This effect was replicated in two subsequent laboratory experiments which employed three primed goal conditions (effective/neutral/ineffective). In experiments 2 and 3, a consciously set goal, with no prompting by an experimenter, mediated the relationship between a primed goal and performance when feedback was provided. Experiment 4 provided a conceptual replication in a work setting, involving employees in a customer service department of a large communication company. Finally, a meta-analysis of these four experiments indicated an average effect size of d = 0.36, 95 percent CI [0.23, 0.49] with no evidence of heterogeneity across the four experiments. These findings suggest that not only are subconscious goals a foundation for the difficulty level of consciously set goals but in addition, subconscious goals and conscious goals work together in affecting performance.
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