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When Do Our Attitudes Guide Our Behavior?

15 February, 2016 - 10:55

Social psychologists (as well as advertisers, marketers, and politicians) are particularly interested in the behavioral aspect of attitudes. Because it is normal that the ABCs of our attitudes are at least somewhat consistent, our behavior tends to follow from our affect and cognition. If I determine that you have more positive cognitions about and more positive affect toward waffles than French toast, then I will naturally predict (and probably be correct when I do so) that you’ll be more likely to order waffles than French toast when you eat breakfast at a restaurant. Furthermore, if I can do something to make your thoughts or feelings toward French toast more positive, then your likelihood of ordering it for breakfast will also increase.

The principle of attitude consistency (that for any given attitude object, the ABCs of affect, behavior, and cognition are normally in line with each other) thus predicts that our attitudes (for instance, as measured via a self-report measure) are likely to guide behavior. Supporting this idea, meta-analyses have found that there is a significant and substantial positive correlation among the different components of attitudes, and that attitudes expressed on self-report measures do predict behavior (Glasman & Albarracín, 2006).

However, our attitudes are not the only factor that influence our decision to act. The theory of planned behavior, developed by Martin Fishbein and Izek Ajzen (Ajzen, 1991; Fishbein & Ajzen, 1975), outlines three key variables that affect the attitude-behavior relationship: (a) the attitude toward the behaviour (the stronger the better), (b) subjective norms (the support of those we value), and (c) perceived behavioral control (the extent to which we believe we can actually perform the behavior). These three factors jointly predict our intention to perform the behavior, which in turn predicts our actual behavior (Figure 4.2).

To illustrate, imagine for a moment that your friend Sharina is trying to decide whether to recycle her used laptop batteries or just throw them away. We know that her attitude toward recycling is positive—she thinks she should do it—but we also know that recycling takes work. It’s much easier to just throw the batteries away. But if Sharina feels strongly about the importance of recycling, if her family and friends are also in favor of recycling, and if she has easy access to a battery recycling facility, then she will develop a strong intention to perform the behavior and likely follow through on it.

Since it was first proposed, the theory of planned behavior has grown to become an extremely influential model for predicting human social behavior. However, although it has been used to study virtually every kind of planned behavior, a recent meta-analysis of 206 articles found that this model was especially effective at predicting physical activity and dietary behaviors (McEachan, Conner, Taylor, & Lawton, 2011).

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Figure 4.2 Theory of Planned Behavior  
 

More generally, research has also discovered that attitudes predict behaviors well only under certain conditions and for some people. These include:

  • When the attitude and the behavior both occur in similar social situations
  • When the same components of the attitude (either affect or cognition) are accessible when the attitude is assessed and when the behavior is performed
  • When the attitudes are measured at a specific, rather than a general, level
  • For low self-monitors (rather than for high self-monitors)

The extent of the match between the social situations in which the attitudes are expressed and the behaviors are engaged in is important; there is a greater attitude-behavior correlation when the social situations match. Imagine for a minute the case of Magritte, a 16-year-old high school student. Magritte tells her parents that she hates the idea of smoking cigarettes. Magritte’s negative attitude toward smoking seems to be a strong one because she’s thought a lot about it—she believes that cigarettes are dirty, expensive, and unhealthy. But how sure are you that Magritte’s attitude will predict her behavior? Would you be willing to bet that she’d never try smoking when she’s out with her friends?

You can see that the problem here is that Magritte’s attitude is being expressed in one social situation (when she is with her parents), whereas the behavior (trying a cigarette) is going to occur in a very different social situation (when she is out with her friends). The relevant social norms are of course much different in the two situations. Magritte’s friends might be able to convince her to try smoking, despite her initial negative attitude, when they entice her with peer pressure. Behaviors are more likely to be consistent with attitudes when the social situation in which the behavior occurs is similar to the situation in which the attitude is expressed (Ajzen, 1991; LaPiere, 1936).

Research Focus: Attitude-Behavior Consistency

Another variable that has an important influence on attitude-behavior consistency is the current cognitive accessibility of the underlying affective and cognitive components of the attitude. For example, if we assess the attitude in a situation in which people are thinking primarily about the attitude object in cognitive terms, and yet the behavior is performed in a situation in which the affective components of the attitude are more accessible, then the attitude-behavior relationship will be weak. Wilson and Schooler (1991) showed a similar type of effect by first choosing attitudes that they expected would be primarily determined by affect—attitudes toward five different types of strawberry jam. They asked a sample of college students to taste each of the jams. While they were tasting, one-half of the participants were instructed to think about the cognitive aspects of their attitudes to these jams—that is, to focus on the reasons they held their attitudes—whereas the other half of the participants were not given these instructions. Then all the students completed measures of their attitudes toward each of the jams. Wilson and his colleagues then assessed the extent to which the attitudes expressed by the students correlated with taste ratings of the five jams as indicated by experts at Consumer Reports. They found that the attitudes expressed by the students correlated significantly higher with the expert ratings for the participants who had not listed their cognitions first. Wilson and his colleagues argued that this occurred because our liking of jams is primarily affectively determined—we either like them or we don’t. And the students who simply rated the jams used their feelings to make their judgments. On the other hand, the students who were asked to list their thoughts about the jams had some extra information to use in making their judgments, but it was information that was not actually useful. Therefore, when these students used their thoughts about the jam to make the judgments, their judgments were less valid. MacDonald, Zanna, and Fong (1996) showed male college students a video of two other college students, Mike and Rebecca, who were out on a date. According to random assignment to conditions, half of the men were shown the video while sober and the other half viewed the video after they had had several alcoholic drinks. In the video, Mike and Rebecca go to the campus bar and drink and dance. They then go to Rebecca’s room, where they end up kissing passionately. Mike says that he doesn’t have any condoms, but Rebecca says that she is on the pill. At this point the film clip ends, and the male participants are asked about their likely behaviors if they had been Mike. Although all men indicated that having unprotected sex in this situation was foolish and irresponsible, the men who had been drinking alcohol were more likely to indicate that they would engage in sexual intercourse with Rebecca even without a condom. One interpretation of this study is that sexual behavior is determined by both cognitive factors (e.g., “I know that it is important to practice safe sex and so I should use a condom”) and affective factors (e.g., “Sex is enjoyable, I don’t want to wait”). When the students were intoxicated at the time the behavior was to be performed, it seems likely the affective component of the attitude was a more important determinant of behavior than was the cognitive component.

One other type of match that has an important influence on the attitude-behavior relationship concerns how we measure the attitude and behavior. Attitudes predict behavior better when the attitude is measured at a level that is similar to the behavior to be predicted. Normally, the behavior is specific, so it is better to measure the attitude at a specific level too. For instance, if we measure cognitions at a very general level (e.g., “Do you think it is important to use condoms?”; “Are you a religious person?”) we will not be as successful at predicting actual behaviors as we will be if we ask the question more specifically, at the level of behavior we are interested in predicting (e.g., “Do you think you will use a condom the next time you have sex?”; “How frequently do you expect to attend church in the next month?”). In general, more specific questions are better predictors of specific behaviors, and thus if we wish to accurately predict behaviors, we should remember to attempt to measure specific attitudes. One example of this principle is shown in Figure 4.3. Davidson and Jaccard (1979) found that they were much better able to predict whether women actually used birth control when they assessed the attitude at a more specific level.

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Figure 4.3 Predicting Behavior from Specific and Nonspecific Attitude Measures 
Attitudes that are measured using more specific questions are more highly correlated with behavior than are attitudes measured using less specific questions. Data are from Davidson and Jaccard (1979).Davidson, A. R., & Jaccard, J. J. (1979). Variables that moderate the attitude-behavior relation: Results of a longitudinal survey. Journal of Personality and Social Psychology, 37(8), 1364–1376. 

Attitudes also predict behavior better for some people than for others. As we saw in The Self, self-monitoring refers to individual differences in the tendency to attend to social cues and to adjust one’s behavior to one’s social environment. To return to our example of Magritte, you might wonder whether she is the type of person who is likely to be persuaded by peer pressure because she is particularly concerned with being liked by others. If she is, then she’s probably more likely to want to fit in with whatever her friends are doing, and she might try a cigarette if her friends offer her one. On the other hand, if Magritte is not particularly concerned about following the social norms of her friends, then she’ll more likely be able to resist the persuasion. High self-monitors are those who tend to attempt to blend into the social situation in order to be liked; low self-monitors are those who are less likely to do so. You can see that, because they allow the social situation to influence their behaviors, the relationship between attitudes and behavior will be weaker for high self-monitors than it is for low self-monitors (Kraus, 1995).

Key Takeaways

  • The term attitude refers to our relatively enduring evaluation of an attitude object.
  • Our attitudes are inherited and also learned through direct and indirect experiences with the attitude objects.
  • Some attitudes are more likely to be based on beliefs, some are more likely to be based on feelings, and some are more likely to be based on behaviors.
  • Strong attitudes are important in the sense that we hold them with confidence, we do not change them very much, and we use them frequently to guide our actions.
  • Although there is a general consistency between attitudes and behavior, the relationship is stronger in some situations than in others, for some measurements than for others, and for some people than for others.

Exercises and Critical Thinking

  1. Describe an example of a behavior that you engaged in that might be explained by the theory of planned behavior. Include each of the components of the theory in your analysis.
  2. Consider a time when you acted on your own attitudes and a time when you did not act on your own attitudes. What factors do you think determined the difference?

References

Abelson, R. P., Kinder, D. R., Peters, M. D., & Fiske, S. T. (1981). Affective and semantic components in political person perception. Journal of Personality and Social Psychology, 42, 619–630.

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211.

Albarracín, D., Johnson, B. T., & Zanna, M. P. (Eds.). (2005). The handbook of attitudes (pp. 223–271). Mahwah, NJ: Lawrence Erlbaum.

Banaji, M. R., & Heiphetz, L. (2010). Attitudes. In S. T. Fiske, D. T. Gilbert, & G. Lindzey (Eds.), Handbook of social psychology (5th ed., Vol. 1, pp. 353–393). Hoboken, NJ: John Wiley & Sons.

Bargh, J. A., Chaiken, S., Raymond, P., & Hymes, C. (1996). The automatic evaluation effect: Unconditional automatic attitude activation with a pronunciation task. Journal of Experimental Social Psychology, 32(1), 104–128.

Beaman, A. L., Klentz, B., Diener, E., & Svanum, S. (1979). Self-awareness and transgression in children: Two field studies. Journal of Personality and Social Psychology, 37(10), 1835–1846.

Bourgeois, M. J. (2002). Heritability of attitudes constrains dynamic social impact. Personality and Social Psychology Bulletin, 28(8), 1063–1072.

Cunningham, W. A., & Zelazo, P. D. (2007). Attitudes and evaluations: A social cognitive neuroscience perspective. Trends in Cognitive Sciences, 11(3), 97–104;

Cunningham, W. A., Raye, C. L., & Johnson, M. K. (2004). Implicit and explicit evaluation: fMRI correlates of valence, emotional intensity, and control in the processing of attitudes. Journal of Cognitive Neuroscience, 16(10), 1717–1729;

Davidson, A. R., & Jaccard, J. J. (1979). Variables that moderate the attitude-behavior relation: Results of a longitudinal survey. Journal of Personality and Social Psychology, 37(8), 1364–1376.

De Houwer, J., Thomas, S., & Baeyens, F. (2001). Association learning of likes and dislikes: A review of 25 years of research on human evaluative conditioning. Psychological Bulletin, 127(6), 853-869.

Downing, J. W., Judd, C. M., & Brauer, M. (1992). Effects of repeated expressions on attitude extremity. Journal of Personality and Social Psychology, 63(1), 17–29; Tesser, A., Martin, L., & Mendolia, M. (Eds.). (1995).The impact of thought on attitude extremity and attitude-behavior consistency. Hillsdale, NJ: Lawrence Erlbaum.

Duckworth, K. L., Bargh, J. A., Garcia, M., & Chaiken, S. (2002). The automatic evaluation of novel stimuli. Psychological Science, 13(6), 513–519.

Fazio, R. H. (1990). The MODE model as an integrative framework. Advances in Experimental Social Psychology, 23, 75–109;

Fazio, R. H. (1995). Attitudes as object-evaluation associations: Determinants, consequences, and correlates of attitude accessibility. In Attitude strength: Antecedents and consequences (pp. 247–282). Hillsdale, NJ: Lawrence Erlbaum;

Fazio, R. H., Powell, M. C., & Herr, P. M. (1983). Toward a process model of the attitude-behavior relation: Accessing one’s attitude upon mere observation of the attitude object. Journal of Personality and Social Psychology, 44(4), 723–735.

Ferguson, M. J., Bargh, J. A., & Nayak, D. A. (2005). After-affects: How automatic evaluations influence the interpretation of subsequent, unrelated stimuli. Journal of Experimental Social Psychology, 41(2), 182–191. doi: 10.1016/j.jesp.2004.05.008

Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.

Glasman, L. R., & Albarracín, D. (2006). Forming attitudes that predict future behavior: A meta-analysis of the attitude-behavior relation. Psychological Bulletin, 132(5), 778–822.

Handy, T. C., Smilek, D., Geiger, L., Liu, C., & Schooler, J. W. (2010). ERP evidence for rapid hedonic evaluation of logos. Journal of Cognitive Neuroscience, 22(1), 124–138. doi: 10.1162/jocn.2008.21180

Hargreaves, D. A., & Tiggemann, M. (2003). Female “thin ideal” media images and boys’ attitudes toward girls. Sex Roles, 49(9–10), 539–544.

Kraus, S. J. (1995). Attitudes and the prediction of behavior: A meta-analysis of the empirical literature. Personality and Social Psychology Bulletin, 21(1), 58–75.

Krosnick, J. A., & Petty, R. E. (1995). Attitude strength: An overview. In Attitude strength: Antecedents and consequences (pp. 1–24). Hillsdale, NJ: Lawrence Erlbaum.

LaPiere, R. T. (1936). Type rationalization of group antipathy. Social Forces, 15, 232–237.

Levina, M., Waldo, C. R., & Fitzgerald, L. F. (2000). We’re here, we’re queer, we’re on TV: The effects of visual media on heterosexuals’ attitudes toward gay men and lesbians. Journal of Applied Social Psychology, 30(4), 738–758.

MacDonald, T. K., Zanna, M. P., & Fong, G. T. (1996). Why common sense goes out the window: Effects of alcohol on intentions to use condoms. Personality and Social Psychology Bulletin, 22(8), 763–775.

Maio, G. R., & Olson, J. M. (Eds.). (2000). Why we evaluate: Functions of attitudes. Mahwah, NJ: Lawrence Erlbaum. doi:10.1080/17437199.2010.521684

McEachan, R. R. C., Conner, M., Taylor, N. J., & Lawton, R. J. (2011) Prospective prediction of health-related behaviours with the theory of planned behaviour: A meta-analysis, Health Psychology Review, 5(2), 97-144.

Mendes, W. B. (2008). Assessing autonomic nervous system reactivity. In E. Harmon-Jones & J. Beer (Eds.), Methods in the neurobiology of social and personality psychology (pp. 118–147). New York, NY: Guilford Press.

Olson, J. M., Vernon, P. A., Harris, J. A., & Jang, K. L. (2001). The heritability of attitudes: A study of twins. Journal of Personality and Social Psychology, 80(6), 845–860.

Poteat, V. P. (2007). Peer group socialization of homophobic attitudes and behavior during adolescence. Child Development, 78(6), 1830–1842.

Stangor, C., Sullivan, L. A., & Ford, T. E. (1991). Affective and cognitive determinants of prejudice. Social Cognition, 9(4), 359–380.

Tesser, A., Martin, L., & Mendolia, M. (1995). The impact of thought on attitude extremity and attitude-behavior consistency. In R. E. Petty & J. A. Krosnick (Eds.), Attitude strength: Antecedents and consequences. Ohio State University series on attitudes and persuasion (4th ed., pp. 73-92). Hillsdale, NJ: Lawrence Erlbaum Associates.

Thompson, M. M., Zanna, M. P., & Griffin, D. W. (1995). Let’s not be indifferent about (attitudinal) ambivalence. In Attitude strength: Antecedents and consequences (pp. 361–386). Hillsdale, NJ: Lawrence Erlbaum.

van den Bos, W., McClure, S. M., Harris, L. T., Fiske, S. T., & Cohen, J. D. (2007). Dissociating affective evaluation and social cognitive processes in the ventral medial prefrontal cortex. Cognitive, Affective & Behavioral Neuroscience, 7(4), 337–346.

Wilson, T. D., & Schooler, J. W. (1991). Thinking too much: Introspection can reduce the quality of preferences and decisions. Journal of Personality and Social Psychology, 60(2), 181–192.

Wood, W. (2000). Attitude change: Persuasion and social influence. Annual Review of Psychology, 539–570.