Theory of planned behavior
In psychology, the theory of planned behavior is a theory which link between beliefs and behavior. The concept was proposed by Icek Ajzen to improve on the predictive power of the theory of reasoned action by including perceived behavioural control. It is one of the most predictive persuasion theories. It has been applied to studies of the relations among beliefs, attitudes, behavioral intentions and behaviors in various fields such as advertising, public relations, advertising campaigns and healthcare.
The theory states that attitude toward behavior, subjective norms, and perceived behavioral control, together shape an individual's behavioral intentions and behaviors.
- 1 History
- 2 Concepts of key variables
- 2.1 Behavioral beliefs and attitude toward behavior
- 2.2 Normative Beliefs and Subjective Norms
- 2.3 Control beliefs and perceived behavioral control
- 2.4 Behavioral intention and behavior
- 2.5 Conceptual / operational comparison
- 3 Model
- 4 Formula
- 5 Evaluation of the theory
- 6 Applications of the theory
- 7 See also
- 8 References
- 9 External links
Extension from the theory of reasoned action
The theory of planned behavior was proposed by Icek Ajzen in 1985 through his article "From intentions to actions: A theory of planned behavior." The theory was developed from the theory of reasoned action, which was proposed by Martin Fishbein together with Icek Ajzen in 1975. The theory of reasoned action was in turn grounded in various theories of attitude such as learning theories, expectancy-value theories, consistency theories (such as Heider's Balance Theory, Osgood and Tannenbaum's Congruity Theory, and Festinger's Dissonance Theory) and attribution theory. According to the theory of reasoned action, if people evaluate the suggested behavior as positive (attitude), and if they think their significant others want them to perform the behavior (subjective norm), this results in a higher intention (motivations) and they are more likely to do so. A high correlation of attitudes and subjective norms to behavioral intention, and subsequently to behavior, has been confirmed in many studies.
A counter-argument against the high relationship between behavioral intention and actual behavior has also been proposed, as the results of some studies show that, because of circumstantial limitations, behavioral intention does not always lead to actual behavior. Namely, since behavioral intention cannot be the exclusive determinant of behavior where an individual's control over the behavior is incomplete, Ajzen introduced the theory of planned behavior by adding a new component, "perceived behavioral control." By this, he extended the theory of reasoned action to cover non-volitional behaviors for predicting behavioral intention and actual behavior.
Extension of self-efficacy
In addition to attitudes and subjective norms (which make the theory of reasoned action), the theory of planned behavior adds the concept of perceived behavioral control, which originates from self-efficacy theory (SET). Self-efficacy was proposed by Bandura in 1977, which came from social cognitive theory. According to Bandura, expectations such as motivation, performance, and feelings of frustration associated with repeated failures determine effect and behavioral reactions. Bandura separated expectations into two distinct types: self-efficacy and outcome expectancy. He defined self-efficacy as the conviction that one can successfully execute the behavior required to produce the outcomes. The outcome expectancy refers to a person's estimation that a given behavior will lead to certain outcomes. He states that self-efficacy is the most important precondition for behavioral change, since it determines the initiation of coping behavior.
Previous investigations have shown that peoples' behavior is strongly influenced by their confidence in their ability to perform that behavior. As the self-efficacy theory contributes to explaining various relationships between beliefs, attitudes, intentions, and behavior, the SET has been widely applied to health-related fields such as physical activity and mental health in preadolescents, and exercise.
Concepts of key variables
Behavioral beliefs and attitude toward behavior
- Behavioral belief: an individual's belief about consequences of particular behavior. The concept is based on the subjective probability that the behavior will produce a given outcome.
- Attitude toward behavior: an individual's positive or negative evaluation of self-performance of the particular behavior. The concept is the degree to which performance of the behavior is positively or negatively valued. It is determined by the total set of accessible behavioral beliefs linking the behavior to various outcomes and other attributes.
Normative Beliefs and Subjective Norms
- Normative belief: an individual's perception of social normative pressures, or relevant others' beliefs that he or she should or should not perform such behavior.
- Subjective norm: an individual's perception about the particular behavior, which is influenced by the judgment of significant others (e.g., parents, spouse, friends, teachers).
Control beliefs and perceived behavioral control
- Perceived behavioral control: an individual's perceived ease or difficulty of performing the particular behavior. It is assumed that perceived behavioral control is determined by the total set of accessible control beliefs.
- Control beliefs: an individual's beliefs about the presence of factors that may facilitate or impede performance of the behavior. The concept of perceived behavioral control is conceptually related to self-efficacy.
Behavioral intention and behavior
- Behavioral intention: an indication of an individual's readiness to perform a given behavior. It is assumed to be an immediate antecedent of behavior. It is based on attitude toward the behavior, subjective norm, and perceived behavioral control, with each predictor weighted for its importance in relation to the behavior and population of interest.
- Behavior: an individual's observable response in a given situation with respect to a given target. Ajzen said a behavior is a function of compatible intentions and perceptions of behavioral control in that perceived behavioral control is expected to moderate the effect of intention on behavior, such that a favorable intention produces the behavior only when perceived behavioral control is strong.
Conceptual / operational comparison
Perceived behavioral control vs. self-efficacy
As Ajzen (1991) stated in the theory of planned behavior, knowledge of the role of perceived behavioral control came from Bandura's concept of self-efficacy. More recently, Fishbein and Cappella stated that self-efficacy is the same as perceived behavioral control in his integrative model, which is also measured by items of self-efficacy in a previous study.
In previous studies, the construction and the number of item inventory of perceived behavioral control have depended on each particular health topic. For example, for smoking topics, it is usually measured by items such as "I don't think I am addicted because I can really just not smoke and not crave for it," and "It would be really easy for me to quit."
The concept of self-efficacy is rooted in Bandura's social cognitive theory. It refers to the conviction that one can successfully execute the behavior required to produce the outcome. The concept of self-efficacy is used as perceived behavioral control, which means the perception of the ease or difficulty of the particular behavior. It is linked to control beliefs, which refers to beliefs about the presence of factors that may facilitate or impede performance of the behavior.
It is usually measured with items which begins with the stem, "I am sure I can ... (e.g., exercise, quit smoking, etc.)" through a self-report instrument in their questionnaires. Namely, it tries to measure the confidence toward the probability, feasibility, or likelihood of executing given behavior.
Attitude toward behavior vs. outcome expectancy
The theory of planned behavior specifies the nature of relationships between beliefs and attitudes. According to these models, people's evaluations of, or attitudes toward behavior are determined by their accessible beliefs about the behavior, where a belief is defined as the subjective probability that the behavior will produce a certain outcome. Specifically, the evaluation of each outcome contributes to the attitude in direct proportion to the person's subjective possibility that the behavior produces the outcome in question.
Outcome expectancy was originated from the expectancy-value model. It is a variable-linking belief, attitude and expectation. The theory of planned behavior's positive evaluation of self-performance of the particular behavior is similar to the concept to perceived benefits, which refers to beliefs regarding the effectiveness of the proposed preventive behavior in reducing the vulnerability to the negative outcomes, whereas their negative evaluation of self-performance is similar to perceived barriers, which refers to evaluation of potential negative consequences that might result from the enactment of the espoused health behavior.
The concept of social influence has been assessed by social norm and normative belief in both the theory of reasoned action and theory of planned behavior. Individuals' elaborative thoughts on subjective norms are perceptions on whether they are expected by their friends, family and the society to perform the recommended behavior. Social influence is measured by evaluation of various social groups. For example, for smoking issue, (1) subjective norms from peer group include thoughts such as, "Most of my friends smoke," or "I feel ashamed of smoking in front of a group of friends who don't smoke"; (2) subjective norms from family include thoughts such as, "All my family smoke, and it seems natural to start smoking," or "My parents were really mad at me when I started smoking"; and (3) subjective norms from society or culture include thoughts such as, "Everyone is against smoking," and "We just assume everyone is a nonsmoker."
While most models are conceptualized within individual cognitive space, the theory of planned behavior considers social influence such as social norm and normative belief, based on collectivistic culture-related variables. Given that an individual's behavior (e.g., health-related decision-making such as diet, condom use, quitting smoking and drinking, etc.) might very well be located in and dependent on the social networks and organization (e.g., peer group, family, school and workplace), social influence has been a welcomed addition.
Human behavior is guided by three kinds of consideration, "behavioral beliefs," "normative beliefs," and "control beliefs." In their respective aggregates, "behavioral beliefs" produce a favorable or unfavorable "attitude toward the behavior"; "normative beliefs" result in "subjective norm"; and "control beliefs" gives rise to "perceived behavioral control."
In combination, "attitude toward the behavior," "subjective norm," and "perceived behavioral control" lead to the formation of a "behavioral intention". In particular, "perceived behavioral control" is presumed to not only affect actual behavior directly, but also affect it indirectly through behavioral intention.
As a general rule, the more favorable the attitude toward behavior and subjective norm, and the greater the perceived behavioral control, the stronger the person's intention to perform the behavior in question should be. Finally, given a sufficient degree of actual control over the behavior, people are expected to carry out their intentions when the opportunity arises.
In its simplest form, the theory of planned behavior can be expressed as the following mathematical function:
|BI: Behavioral intention
AB: Attitude toward behavior
(b): the strength of each belief
(e): the evaluation of the outcome or attribute
SN: Subjective norms
(n): the strength of each normative belief
(m): the motivation to comply with the referent
PBC: Perceived Behavioral Control
(c): the strength of each control belief
(p): the perceived power of the control factor
W' : empirically derived weight/coefficient
To the extent that it is an accurate reflection of actual behavioral control, perceived behavioral control can, together with intention, be used to predict behavior.
Evaluation of the theory
The theory of planned behavior can cover people's non-volitional behavior which cannot be explained by the theory of reasoned action.
An individual's behavioral intention cannot be the exclusive determinant of behavior where an individual's control over the behavior is incomplete. By adding "perceived behavioral control," the theory of planned behavior can explain the relationship between behavioral intention and actual behavior.
Several studies found that the TPB would help better predict health-related behavioral intention than the theory of reasoned action. The TPB has improved the predictability of intention in various health-related fields such as condom use, leisure, exercise, diet, etc.
In addition, the theory of planned behavior as well as the theory of reasoned action can explain the individual's social behavior by considering "social norm" as an important variable.
The theory of planned behavior is based on cognitive processing and level of behavior change.
Compared to affective processing models, the theory of planned behavior overlooks emotional variables such as threat, fear, mood and negative or positive feeling and assessed them in a limited fashion.
Some health behaviors and other types of behaviors may be largely influenced by emotion. However, this is not necessarily a drawback for predicting these behaviors, contrary to some complaints. Strong emotions are relevant to this model because they can influence beliefs and other constructs in this model. Poor predictability for health-related behavior in previous health research may be attributed to poor application of the model, associated methods and measures. Most of the research is correlational, and more evidence based on experimental studies is welcome although experiments, by nature, lack external validity because they prioritize internal validity.
Applications of the theory
So far, the theory of planned behavior has more than 1200 research bibliographies in academic databases such as Communication & Mass Media Complete, Academic Search Premier, PsycARTICLES, Business Source Premier, PsycINFO, and PsycCRITIQUES.
In particular, recently, several studies found that the TPB would better help to predict health-related behavioral intention than the TRA given that the TPB has improved the predictability of intention in various health-related fields such as condom use, leisure, exercise, and diet.
Another application of the theory of planned behavior is in the field of environmental psychology. Generally speaking, actions that are environmentally friendly carry a positive normative belief. That is to say, sustainable behaviors are widely promoted as positive behaviors. However, although there may be a behavioral intention to practice such behaviors, perceived behavioral control can be hindered by constraints such as a belief that one's behavior will not have any impact. For example, if one intends to behave in an environmentally responsible way but there is a lack of accessible recycling infrastructure, perceived behavioral control is low, and constraints are high, so the behavior may not occur. Applying the theory of planned behavior in these situations helps explain contradictions between sustainable attitudes and unsustainable behavior.
The theory of planned behavior model is thus a very powerful and predictive model for explaining human behavior. That is why the health and nutrition fields have been using this model often in their research studies. In one study, utilizing the theory of planned behavior, the researchers determine obesity factors in overweight Chinese Americans. Intention to prevent becoming overweight was the key construct in the research process. It is important that nutrition educators provide the proper public policies in order to provide good tasting, low-cost, healthful food.
The Theory of Planned Behavior can also be applied in area of applied nutrition intervention. In a recent study by Sweitzer, TPB (in conjunction with SCT) was utilized to encourage parents to pack more fruits, vegetables and whole grains (FVWG) in sack lunches of preschool children. Behavioral constructs of TPD were used to develop intervention strategies. Knowledge/behavioral control, Self-efficacy/perceived behavioral control, subjective norms and intentions were measured to see effects on behavior. The results found a significant increase in vegetables and whole grains packed in lunches when interventions were planned using the TPB constructs. Psychosocial variables were useful predictors of lunch packing behaviors of parents and this study provided a divergent application of model-exploration of an area of parental behavior as a role in the development of young children’s dietary behaviors. In a study by McConnon, the application of the TPB was used to prevent weight regain in an overweight cohort who recently experienced a significant weight loss. Using the constructs of TPB, it was found that perceived need to control weight is the most positive predictor of behavior for weight maintenance. The TPB model can be used to predict weight gain prevention expectation in an overweight cohort. The TPB can also be utilized to measure behavioral intention of practitioners in promoting specific health behaviors. In this study by Chase, dietitians’ intentions to promote whole grain foods was studied. It was found that the strongest indicator of intention of dietitians to promote whole grain foods was the construct of normative beliefs with 97% of dietitians indicating that health professionals should promote whole grains and 89% wanted to comply with this belief. However, knowledge and self-efficacy of instituting this belief was faulted with only 60% of dietitians being able to correctly identify a whole grain product from a food label, 21% correctly identifying current recommendations and 42% of dietitians did not know there was a recommendation for whole grain consumption. Although the response rate to complete mailed surveys for this study was low (39%), the results provided preliminary data on the strong effect of normative beliefs on dietitian intentions to promote whole grain and the need for nutrition need for additional education for practising dietitians focusing on increase knowledge and self-efficacy for promoting whole grains.
In a recent article, Kautonen et al. tested the Theory of Planned Behavior in the context of entrepreneurship. Their study found support for the intention-behavior link, that is, positive entrepreneurial intentions leads to startup behavior.
- Ajzen, Icek (1991). "The theory of planned behavior". Organizational Behavior and Human Decision Processes 50 (2): 179–211. doi:10.1016/0749-5978(91)90020-T.
- Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl & J. Beckmann (Eds.), Action control: From cognition to behavior. Berlin, Heidelber, New York: Springer-Verlag. (pp. 11-39).
- Fishbein, M. & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
- Sheppard, B.H., Hartwick, J. & Warshaw, P.R. (1988). The theory of reasoned action: A meta-analysis of past research with recommendations for modifications and future research. Journal of Consumer Research, 15, 325–343.
- Bandura, A. (1977). Self-efficacy: toward a unifying theory of behavioral change. Psychological review 84 (2): 191.
- Bandura, A. (1994). Self‐efficacy. John Wiley & Sons, Inc.
- Bandura, A., Adams, N. E., Hardy, A. B., & Howells, G. N. (1980). Tests of the generality of self-efficacy theory. Cognitive Therapy and Research, 4(1), 39-66.
- Annesi, J. J. (2005). Correlations of Depression and Total Mood Disturbance with Physical Activity and Self-Concept in Preadolescents Enrolled in an After-School Exercise Program 1. Psychological reports, 96(3c), 891-898.
- Gyurcsik, N. C., & Brawley, L. R. (2000). Mindful Deliberation About Exercise: Influence of Acute Positive and Negative Thinking1. Journal of Applied Social Psychology, 30(12), 2513-2533.
- Rodgers, W. M., & Brawley, L. R. (1996). The influence of outcome expectancy and self‐efficacy on the behavioral intentions of novice exercisers. Journal of Applied Social Psychology, 26(7), 618-634.
- Stanley, M. A., & Maddux, J. E. (1986). Cognitive processes in health enhancement: Investigation of a combined protection motivation and self-efficacy model. Basic and Applied Social Psychology, 7(2), 101-113.
- Amjad, N., & Wood, A.M. (2009). Identifying and changing the normative beliefs about aggression which lead young Muslim adults to join extremist anti-Semitic groups in Pakistan. Aggressive Behavior, 35, 514–519
- Ajzen, I. (2001). Nature and operation of attitudes. Annual review of psychology, 52(1), 27-58.
- Ajzen, I. (2002). Perceived Behavioral Control, Self-Efficacy, Locus of Control, and the Theory of Planned Behavior. Journal of Applied Social Psychology, 32, 665-683.
- Fishbein, M., & Cappella, J. N. (2006). The role of theory in developing effective health communications. Journal of Communication, 56(s1), S1-S17.
- Ajzen, I. (2002). Residual effects of past on later behavior: Habituation and reasoned action perspectives. Personality and social psychology review, 6(2), 107-122.
- Bandura, A. (1997). Self-efficacy: The exercise of control (see article). New York: Freeman.
- Ajzen, I., & Fishbein, M. (1975). A Bayesian analysis of attribution processes. Psychological Bulletin, 82(2), 261.
- Noar, S. M., & Zimmerman, R. S. (2005). Health Behavior Theory and cumulative knowledge regarding health behaviors: are we moving in the right direction?. Health education research, 20(3), 275-290.
- Ajzen, I. (1989). Attitude structure and behavior. Attitude structure and function, 241-274.
- Dutta-Bergman, M. J. (2005). Theory and Practice in Health Communication Campaigns: A Critical Interrogation. Health Communication 18:2 pages 103-122
- Sniehotta, F.F. (2009). An experimental test of the Theory of Planned Behavior. Applied Psychology: Health and Well-Being, 1(2), 257–270.
- Albarracin, D., Johnson, B. T., Fishbein, M., & Muellerleile, P. A. (2001). Theories of reasoned action and planned behavior as models of condom use: a meta-analysis. Psychological bulletin, 127(1), 142.
- Sheeran, P., & Taylor, S. (1999). Predicting Intentions to Use Condoms: A Meta‐Analysis and Comparison of the Theories of Reasoned Action and Planned Behavior1. Journal of Applied Social Psychology, 29(8), 1624-1675.
- Ajzen, I., & Driver, B. L. (1992). Application of the theory of planned behavior to leisure choice. Journal of leisure research.
- Nguyen, M. N., Potvin, L., & Otis, J. (1997). Regular exercise in 30-to 60-year-old men: Combining the stages-of-change model and the theory of planned behavior to identify determinants for targeting heart health interventions. Journal of Community Health, 22(4), 233-246.
- Conner, M., Kirk, S. F., Cade, J. E., & Barrett, J. H. (2003). Environmental influences: factors influencing a woman’s decision to use dietary supplements. The Journal of nutrition, 133(6), 1978S-1982S.
- Koger, S. & Winter, D. N. N. (2010). The Psychology of Environmental Problems. New York: Psychology Press.
- Stern, P. C. (2005). "Understanding individuals' environmentally significant behavior", Environmental Law Reporter: News and Analysis, 35, 10785–10790.
- Liou, D., & Bauer, K. D. (2007). Exploratory investigation of obesity risk and prevention in Chinese Americans. Journal of nutrition education and behavior, 39(3), 134-141.
- Sweitzer, S.J. et al. (2011) Psychosocial Outcomes of “Lunch is in the Bag”, a Parent Program for Packing Healthful Lunches for Preschool children. J Nutr Ed Behav. 43:536-542.
- McConnon. A. et al. (2012). Application of the Theory of Planned Behaviour to weight control in an overweight cohort. Results from a pan-European dietary intervention trial (DiOGenes). Appetite. 58:313-318.
- Chase, K., Reicks, M., & Jones, J. (2003). Applying the theory of planned behavior to promotion of whole-grain foods by dietitians. J Am Diet Assoc. 103:1639-1642.
- Kautonen, T., Van Gelderen, M., & Tornikoski, E. T. (2013). Predicting entrepreneurial behaviour: a test of the theory of planned behaviour. Applied Economics, 45(6), 697-707.
- Armitage, C.J. & Conner, M. (2001). Efficacy of the theory of planned behavior: a meta-analytic review. British Journal of Social Psychology, 40, 471–499.
- Ajzen, I. & Fishbein, M. (2005). The influence of attitudes on behavior. In Albarracin, D.; Johnson, B.T.; Zanna M.P. (Eds.), The handbook of attitudes, Lawrence Erlbaum Associates.