Abstract
Motivation and cognitive capacity are central variables in major models of social judgment and persuasion. However, the exact nature of their interplay in judgment processes has remained ambiguous. The present paper reports on two experimental studies tackling this issue. In Study 1 we demonstrated a cross-over pattern of means for the interaction effect of motivation and cognitive capacity on judgment, with high motivation being beneficial under high cognitive capacity but detrimental under low cognitive capacity. This effect was explained by the participants’ subjective perception of information relevance. In Study 2, the role of information relevance was further investigated, showing that for highly motivated participants, judgment was differently affected by information with low versus high relevance when cognitive capacity was high but not when it was low. In the discussion, we elaborate on these effects, advocating a more dynamic perspective on (social) judgment, acknowledging the conditional (opposite) effects of motivation, in function of cognitive capacity.
Similar content being viewed by others
Notes
In contrast, directional motivation refers to particular instances in which the individual prefers a particular judgment and assigns differential weight to information according to this preference. This specific type of motivation is not the focus of the present study.
In this regard, Sigall and Mills (1998) argued that even a nonsignificant result for a manipulation check does not necessarily invalidate significant effects of the manipulation on the dependent variables.
Note that ANOVA with repeated measures of judgment at T1 and T2 yields results that are identical to ANOVA using the change measure. We used the latter procedure to facilitate communication of the results.
For levels of motivation and cognitive capacity being high–high, high–low, low–high and low–low: M = 10.68, SD = 5.28; M = 15.47, SD = 3.99; M = 10.33, SD = 4.41; M = 13.00, SD = 5.16, respectively.
Analyses including the outlier data yielded similar results; F(1, 70) = 11.25, p = .001, F(1, 70) = 1.61, p = .21, and F(1, 70) = 0.91, p = .34, for the main effect of capacity, motivation, and their interaction respectively.
Because in Study 1, the number of consulted pieces of information did not mediate the effects of the independent variables, this variable was no longer of central interest in Study 2. However to ensure comparability in the procedure, also in Study 2, information was presented upon the participants request, with a maximum of 10 pieces.
In the Pelham and Neter (1995) studies, a clear (but incorrect) heuristic rule was available to complete the task. In the present tasks, it is hard to identify such a heuristic rule or heuristic information that could be straightforwardly used to reach judgment. For example, all pieces of information were of equal length and stemmed from the same undisclosed source in Study 2, whereas in Study 1, participants received information from various sources but their message all pointed into the same direction.
This perspective is also reminiscent of the Yerkes-Dodson law (Yerkes and Dodson 1908), stating that too high levels of arousal can degrade performance. Moreover, the impact of motivation has been described to follow the same inverted U-curve and various studies have relied on the Yerkes-Dodson law to explain counterproductive effects of accountability (as used in Study 1) or incentives (as used in Study 2) on performance (see, e.g., Ashton 1990; Mobbs et al. 2009).
References
Ashton, R. H. (1990). Pressure and performance in accounting decision settings: Paradoxical effects of incentives, feedback, and justification. Journal of Accounting Research, 28, 148–180.
Bar-Tal, Y., Kishon-Rabin, L., & Tabak, N. (1997). The effect of need and ability to achieve cognitive structuring on cognitive structuring. Journal of Personality and Social Psychology, 73, 1158–1176.
Betsch, T., Plessner, H., Schwieren, C., & Gütig, R. (2001). I like it but I don’t know why: A value-account approach to implicit attitude formation. Personality and Social Psychology Bulletin, 27, 242–253.
Brehm, J. W., & Self, E. (1989). The intensity of motivation. In M. R. Rozenweig & L. W. Porter (Eds.), Annual review of psychology (pp. 109–131). Palo Alto: Annual Reviews, Inc.
Chaiken, S., Liberman, A., & Eagly, A. H. (1989). Heuristic and systematic information processing within and beyond the persuasion context. In J. S. Uleman & J. A. Bargh (Eds.), Unintended thought (pp. 12–252). New York: Guilford.
Eagly, A. H., & Chaiken, S. (1993). The psychology of attitudes. Fort Worth, TX: Harcourt Brace Jovanovich College Publishers.
Erb, H.-P., Kruglanski, A. W., Chun, W. Y., Pierro, A., Mannetti, L., & Spiegel, S. (2003). Searching for commonalities in human judgement: The parametric unimodel and its dual mode alternatives. European Review of Social Psychology, 14, 1–47.
Gendolla, G. H. E., & Richter, M. (2010). Effort mobilization when the self is involved: Some lessons from the cardiovascular system. Review of General Psychology, 14, 212–226.
Hockey, G. R. J. (1997). Compensatory control in the regulation of human performance under stress and high workload. A cognitive-energetical framework. Biological Psychology, 45, 73–93.
Hull, C. L. (1943). Principles of behavior. New York: Appleton-Century.
Janis, I. L., & Mann, L. (1977). Decision-making: A psychological analysis of conflict, choice, and commitment. New York: Free Press.
Kaplan, M. F., & Miller, L. E. (1978). Reducing the effects of juror bias. Journal of Personality and Social Psychology, 36, 1443–1455.
Kassin, S. M., & Hochreich, D. J. (1977). Instructional set: A neglected variable in attribution research? Personality and Social Psychology Bulletin, 3, 620–623.
Kruglanski, A. W., & Freund, T. (1983). The freezing and un-freezing of lay-inferences: Effects of impressional primacy, ethnic stereotyping and numerical anchoring. Journal of Experimental Social Psychology, 19, 448–468.
Kruglanski, A. W., & Gigerenzer, G. (2010). Intuitive and deliberative judgments are based on common processes. Unpublished manuscript: University of Maryland.
Kruglanski, A. W., & Mayseless, O. (1988). Contextual effects in hypothesis testing: The role of competing alternatives and epistemic motivations. Social Cognition, 6, 1–21.
Kruglanski, A. W., & Webster, D. M. (1996). Motivated closing of the mind: “Seizing” and “Freezing”. Psychological Review, 103, 263–283.
Kruglanski, A. W., Erb, H. P., Pierro, A., Mannetti, L., & Chun, W. Y. (2006). On parametric continuities in the world of binary either ors. Psychological Inquiry, 17, 153–165.
Kruglanski, A. W., Pierro, A., Mannetti, L., Erb, H. P., & Chun, W. Y. (2007). On the parameters of human judgment. Advances in Experimental Social Psychology, 39, 255–303.
Kruglanski, A. W., Dechesne, M., Orehek, E., & Pierro, A. (2009). Three decades of lay epistemics: The why, how, and who of knowledge formation. European Review of Social Psychology, 20, 146–191.
Kruglanski, A. W., Belanger, J. J., Chen, X. Y., Kopetz, C., Pierro, A., & Mannetti, L. (2012). The energetics of motivated cognition: A force-Field Analysis. Psychological Review, 119, 1–20.
Loersch, C., McCaslin, M. J., & Petty, R. E. (2011). Exploring the impact of social judgeability concerns on the interplay of associative and deliberative attitude processes. Journal of Experimental Social Psychology, 47, 1029–1032.
Mobbs, D., Hassabis, D., Seymour, B., Marchant, J. L., Weiskopf, N., Dolan, R. J., et al. (2009). Choking on the money: Reward-based performance decrements are associated with midbrain activity. Psychological Science, 20, 955–962.
Pelham, B. W., & Neter, E. (1995). The effect of motivation of judgment depends, on the difficulty of the judgment. Journal of Personality and Social Psychology, 68, 581–594.
Petty, R. E. (1994). Two routes to persuasion: State of the art. In G. d’Ydewalle, P. Eelen, & P. Berteleson (Eds.), International Perspectives on Psychological Science (Vol. 2, pp. 229–247). Hillsdale, NJ: Lawrence Erlbaum Associates Inc.
Petty, R. E., & Cacioppo, J. T. (1986). Communication and persuation: Central and peripheral routes to attitude change. New York: Springer.
Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in simple and multiple mediator models. Behavior Research Methods, 40, 879–891.
Roets, A., & Van Hiel, A. (2007). Separating ability from need: Clarifying the dimensional structure of the need for closure scale. Personality and Social Psychology Bulletin, 33, 266–280.
Roets, A., Van Hiel, A., Cornelis, I., & Soetens, B. (2008). Determinants of performance and invested effort. A need for closure by cognitive capacity interaction analysis. Personality and Social Psychology Bulletin, 34, 779–792.
Sigall, H., & Mills, J. (1998). Measures of independent variables and mediators are useful in social psychology experiments: But are they necessary? Personality and Social Psychology Review, 2, 218–226.
Spencer, S. J., Zanna, M. P., & Fong, G. T. (2005). Establishing a causal chain: Why experiments are often more effective than mediational analyses in examining psychological processes. Journal of Personality and Social Psychology, 89, 845–851.
Tan, H. T., Ng, B. P., & Mak, W. Y. (2002). The effects of task complexity on auditors’ performance: The impact of accountability and knowledge. Auditing: A Journal of Practice and Theory, 21, 81–95.
Tetlock, P. E. (1985). Accountability: A social check on the fundamental attribution error. Social Psychology Quarterly, 48, 227–236.
Wright, R. A., & Kirby, L. D. (2001). Effort determination of cardiovascular response: An integrative analysis with applications in social psychology. Advances in Experimental Social Psychology, 33, 255–307.
Yerkes, R. M., & Dodson, J. D. (1908). The relation of strength of stimulus to rapidity of habit formation. Journal of Comparative Neurology of Psychology, 18, 459–482.
Acknowledgments
The authors would like to thank Martin F. Kaplan for providing access to the materials from Kaplan and Miller (1978). This research was supported by a post-doctoral research grant from the National Fund for Scientific Research-Flanders (Belgium) awarded to the first author.
Author information
Authors and Affiliations
Corresponding author
Appendix
Appendix
See Table 1.
Rights and permissions
About this article
Cite this article
Roets, A., Van Hiel, A. & Kruglanski, A.W. When motivation backfires: Optimal levels of motivation as a function of cognitive capacity in information relevance perception and social judgment. Motiv Emot 37, 261–273 (2013). https://doi.org/10.1007/s11031-012-9299-0
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11031-012-9299-0