Expectancy-value theory

Expectancy–value theory has been developed in many different fields including education, health, communications, marketing and economics. Although the model differs in its meaning and implications for each field, the general idea is that there are expectations as well as values or beliefs that affect subsequent behavior.

Education model

History and model overview

John William Atkinson developed the expectancy–value theory in the 1950s and 1960s in an effort to understand the achievement motivation of individuals.^[1] In the 1980s, Jacquelynne Eccles expanded this research into the field of education.^[1] According to expectancy–value theory, students' achievement and achievement related choices are most proximally determined by two factors:^[1] expectancies for success, and subjective task values. Expectancies refer to how confident an individual is in his or her ability to succeed in a task whereas task values refer to how important, useful, or enjoyable the individual perceives the task. Theoretical^[1] and empirical^[2][3] work suggests that expectancies and values interact to predict important outcomes such as engagement, continuing interest, and academic achievement. Other factors, including demographic characteristics, stereotypes, prior experiences, and perceptions of others' beliefs and behaviors affect achievement related outcomes indirectly through these expectancies and values. This model has most widely been applied and used in research in the field of education.

Expectancies

Expectancies are specific beliefs individuals have regarding their success on certain tasks they will carry out in the short-term future or long-term future.^[4] An individual's expectancies are related to their behaviors as well as the choices they make. Expectancies are related to ability-beliefs such as self-concept and self-efficacy. Self-concept is a domain specific concept that involves one's beliefs about their own abilities based on their past experiences in the specific domain.^[5] Self-efficacy is the belief that an individual has the ability to successfully engage in a future specific task or series of related tasks ^[6][7]

Subjective task values

According to Eccles and colleagues^[1] subjective task value can be thought of the motivation that allows an individual to answer the question "Do I Want to do This Activity and Why?"^[8] Subjective task values can be broken into four subcategories:^[1] Attainment Value (Importance for identity or self), Intrinsic Value (Enjoyment or Interest), Utility Value (Usefulness or Relevance), and Cost (loss of time, overly-high effort demands, loss of valued alternatives, or negative psychological experiences such as stress). Traditionally, attainment value and intrinsic value are more highly correlated. What's more, these two constructs tend to be related to intrinsic motivation, interest, and task persistence.^[9] Alternatively, utility value has both intrinsic and extrinsic components.^[10] and has been related to both intrinsic and extrinsic outcomes such as course performance and interest.^[11] Other research shows that utility value has time-dependent characteristics as well.^[12] Cost has been relatively neglected in the empirical research;^[8] however, the construct has received some attention more recently.^[13] Feather combined subjective task values with more universal human values^[14] and suggested that the former are just one type of general human motives that help to direct behavior.^[15]

Applications

Developmental trajectories

Researchers have found that expectancies and values can be distinguished as separate types of motivation as early as 6 years old.^[16] Similarly, types of value (e.g., attainment vs. utility) can be distinguished within an academic domain as early as fifth grade.^[16] Generally speaking, Eccles and colleagues^[1] implicate a wide array of different factors that determine an individual's expectancies and values, including:

• the cultural milieu
• socializer's beliefs and behaviors
• differential aptitudes of the individual
• previous achievement-related experiences
• individual perceptions of social beliefs
• individual's interpretations of experiences
• affective memories
• general goals
• self-concepts

Experts agree that student motivation tends to decline throughout their time in school.^[4] Longitudinal research has confirmed this general trend of motivational decline and also demonstrated that motivation is domain specific.^[17] Researchers have also demonstrated that there are gender differences in motivation.^[1] Motivation decline is particularly steep for Math achievement, but less so for reading or sports domains among both boys and girls.^[17] Researchers offer two general explanations for these declines in motivation.^[14] The first is that students' conceptualizations of different domains become more complex and nuanced—they differentiate between subdomains, which results in an appearance of mean-level decrease. In fact, children as young as 11 years old have demonstrated that they can differentiate between academic domains.^[16] The second is that the focus of their environment changes as they age. As students reach higher grades, the focus shifts from learning to achievement. In fact, a large body of research exists showing that shifts from learning to performance as an educational focus can be detrimental to student motivation.^[18]

Interventions

Expectancy–value theory constructs can and have been applied to intervention programs that strive to change motivational beliefs. These interventions are able to increase expectancy^[19] and value^[18] or decrease cost.^[20] Such interventions not only target motivation, but also ultimately increase general student achievement and help to close traditionally problematic achievement gaps.^[11][21] For example, value- focused interventions have been developed to help teachers design their curriculum in ways that allow students to see the connections between the material they learn in the classroom and their own lives.^[11] This intervention is able to boost student's performance and interest, particularly for students who have low initial expectancy. According to the expectancy–value theory, this intervention is effective because it increases students interest in the material.^[11]

Psychology, health, communications, marketing, and economics model

Expectancy–value theory was originally created in order to explain and predict individual's attitudes toward objects and actions. Originally the work of psychologist Martin Fishbein^{[citation needed]}, the theory states that attitudes are developed and modified based on assessments about beliefs and values. Primarily, the theory attempts to determine the mental calculations that take place in attitude development. Expectancy–value theory has been used to develop other theories and is still utilized today in numerous fields of study.

History

Dr. Martin Fishbein is credited with developing the expectancy–value theory (EVT) in the early to mid-1970s.^{[citation needed]} It is sometimes referred to as Fishbein's expectancy–value theory or simply expectancy–value model. The primary work typically cited by scholars referring to EVT is Martin Fishbein and Icek Ajzen's 1975 book called Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. The seed work of EVT can be seen in Fishbein's doctoral dissertation, A Theoretical and Empirical Investigation of the Interrelation between Belief about an Object and the Attitude toward that Object (1961, UCLA) and two subsequent articles in 1962 and 1963 in the journal Human Relations. Fishbein's work drew on the writings of researchers such as Ward Edwards, Milton J. Rosenberg, Edward Tolman, and John B. Watson.

Concepts

EVT has three basic components. First, individuals respond to novel information about an item or action by developing a belief about the item or action. If a belief already exists, it can and most likely will be modified by new information. Second, individuals assign a value to each attribute that a belief is based on. Third, an expectation is created or modified based on the result of a calculation based on beliefs and values. For example, a student finds out that a professor has a reputation for being humorous. The student assigns a positive value to humor in the classroom, so the student has the expectation that their experience with the professor will be positive. When the student attends class and finds the professor humorous, the student calculates that it is a good class. EVT also states that the result of the calculation, often called the "attitude", stems from complex equations that contain many belief/values pairs. Fishbein and Ajzen (1975) represented the theory with the following equation where attitudes (a) are a factorial function of beliefs (b) and values (v).

Theory of reasoned action: Formula In its simplest form, the TRA can be expressed as the following equation: ${\displaystyle BI{=}(AB)W_{1}+(SN)W_{2}}$ 

where: ${\displaystyle BI}$  = behavioral intention

${\displaystyle AB}$  = one's attitude toward performing the behavior

${\displaystyle W}$  = empirically derived weights

${\displaystyle SN}$  = one's subjective norm related to performing the behavior

(Source: Hale, 2002)

Current usage

In the late 1970s and early 1980s, Fishbein and Ajzen expanded expectancy–value theory into the theory of reasoned action (TRA). Later Ajzen posited the theory of planned behavior (TPB) in his book Attitudes, Personality, and Behavior (1988). Both TRA and TPB address predictive and explanatory weaknesses with EVT and are still prominent theories in areas such as health communication research, marketing, and economics. Although not used as much since the early 1980s, EVT is still utilized in research within fields as diverse as audience research (Palmgreen & Rayburn, 1985) advertising (Shoham, Rose, & Kahle 1998; Smith & Vogt, 1995), child development (Watkinson, Dwyer, & Nielsen, 2005), education (Eklof, 2006; Ping, McBride, & Breune, 2006), health communication (Purvis Cooper, Burgoon, & Roter, 2001; Ludman & Curry, 1999), and organization communication (Westaby, 2002).

See also

• Theory of planned behavior

References

Education model

1. Eccles, J. (1983). Expectancies, values, and academic behaviors. In J. T. Spence (Ed.), Achievement and achievement motives: Psychological and sociological approaches (pp. 75-146). San Francisco, CA: W. H. Freeman.
2. Nagengast, B., Marsh, H. W., Scalas, L. F., Xu, M. K., Hau, K. T., & Trautwein, U. (2011). Who took the "×" out of expectancy–value theory? A psychological mystery, a substantive-methodological synergy, and a cross-national generalization. Psychological Science, 22(8), 1058-1066.
3. Trautwein, U., Marsh, H. W., Nagengast, B., Lüdtke, O., Nagy, G., & Jonkmann, K. (2012). Probing for the multiplicative term in modern expectancy–value theory: A latent interaction modeling study. Journal of educational psychology, 104(3), 763-777.
4. Eccles, J. S. & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53, 109-132.
5. Bong, M. & Skaalvik, E.M. (2003). Academic self-concept and self-efficacy: How different are they really?. Educational Psychology Review, 15(1), 1-40.
6. Bandura, 1993
7. Bandura, (2012)
8. Wigfield. A., Cambria. J., "Student's achievement values, goal orientations, and interest: Definitions, development, and relations to achievement outcomes, " Developmental Review 30, 2010, 1-35.
9. Hulleman, C. S., Durik, A. M., Schweigert, S. B., & Harackiewicz, J. M. (2008). Task values, achievement goals, and interest: An integrative analysis. Journal of Educational Psychology, 100(2), 398-416
10. Simons, J., Dewitte, S., & Lens, W. (2004). The role of different types of instrumentality in motivation, study strategies, and performance: know why you learn, so you'll know what you learn! The British journal of educational psychology, 74(Pt 3), 343-60. doi:10.1348/0007099041552314
11. Hulleman, C. S., & Harackiewicz, J. M. (2009). Promoting interest and performance in high school science classes. Science, 326(5958), 1410-1412
12. Husman, J., & Lens, W. (1999). The role of the future in student motivation. Educational Psychologist, 34(2), 113-125
13. Luttrell, V. R., Callen, B. W., Allen, C. S., Wood, M. D., Deeds, D. G., & Richard, D. C. (2010). The mathematics value inventory for general education students: Development and initial validation. Educational and Psychological measurement, 70(1), 142-160.
14. Wigfield, A., Tonks, S., & Eccles, J. S. (2004). Expectancy–value theory in cross-cultural perspective. In D. M. McInerney & S. Van Etten (Eds.), Research on sociocultural influences on motivation and learning, volume 4: Big theories revisited (pp. 165-198). Greenwich, CT: Information Age Publishing.
15. Kurt, Dr Serhat (2023-11-21). "Expectancy-value Theory". Education Library. Retrieved 2023-11-21.
16. Wigfield, A., & Cambria, J. (2010). Expectancy–value theory: Retrospective and prospective. Advances in motivation and achievement, 16, 35-70
17. Jacobs, J. E., Lanza, S., Osgood, D. W., Eccles, J. S., & Wigfield, A. (2002). Changes in children's self-competence and values: Gender and domain differences across grades one through twelve. Child development, 73(2), 509-527
18. Hulleman, C. S., Schrager, S. M., Bodmann, S. M., & Harackiewicz, J. M. (2010). A meta-analytic review of achievement goal measures: Different labels for the same constructs or different constructs with similar labels?. Psychological bulletin, 136(3), 422.
19. Blackwell, L. S., Trzesniewski, K. H., & Dweck, C. S. (2007). Implicit theories of intelligence predict achievement across an adolescent transition: A longitudinal study and an intervention. Child development, 78(1), 246-263.
20. Ramirez, G., & Beilock, S. L. (2011). Writing about testing worries boosts exam performance in the classroom. science, 331(6014), 211-213.
21. Good, C., Aronson, J., & Inzlicht, M. (2003). Improving Adolescents' Standardized Test Performance: An Intervention to Reduce the Effects of Stereotype Threat. Journal of Applied Developmental Psychology, 24, 645-662.

Health, communications, marketing, and economics model

• Ajzen, I. (1988). Attitudes, personality, and behavior (U.S. ed.). Chicago, IL: Dorsey Press.
• Bandura, A. (1993). Perceived self-efficacy in cognitive development and functioning. Educational psychologist, 28(2), 117-148.
• Bandura, A. (2012). On the functional properties of perceived self-efficacy revisited. Journal of Management, 38, 9–44. https://doi.org/10.1177/0149206311410606.
• Eklof, H. (2006). Development and validation of scores from an instrument measuring student test-taking motivation. Educational & Psychological Measurement, 66, 643-656.
• Fishbein, M. (1961). A theoretical and empirical investigation of the interrelation between belief about and object and the attitude toward that object (pp. 162): University of California, Los Angeles. Unpublished dissertation.
• Fishbein, M. (1963). An investigation of relationships between beliefs about an object and the attitude toward that object. Human Relations, 16, 233-240.
• Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior : an introduction to theory and research. Reading, Mass.: Addison-Wesley Pub.
• Fishbein, M., & Raven, B. (1962). The AB scales: An operational definition of belief and attitude. Human Relations, 15, 35-44.
• Ludman, E. J., & Curry, S. J. (1999). Implementation of outreach telephone counseling to promote mammography participation. Health Education & Behavior, 26, 689.
• Palmgreen, P., & Rayburn, J. (1985). An Expectancy–value Approach to Media Gratifications, in: "Rosengren, Karl Erik / Wenner, Lawrence A. / Palmgreen, Philip: Media Gratifications Research" (Beverly Hills, 1985, pp. 61–72).
• Ping, X., McBride, R. E., & Bruene, A. (2006). Fourth-grade students' motivational changes in an elementary physical education running program. Research Quarterly for Exercise & Sport, 77, 195-207.
• Purvis Cooper, C., Burgoon, M., & Roter, D. L. (2001). An expectancy–value analysis of viewer interest in television prevention news stories. Health Communication, 13, 227-240.
• Shoham, A., Rose, G. M., & Kahle, L. R. (1998). Marketing of risky sports: From intention to action. Journal of the Academy of Marketing Science, 26, 307-321.
• Smith, R. E., & Vogt, C. A. (1995). The effects of integrating advertising and negative word-of-mouth communications on message processing and response. Journal of Consumer Psychology, 4, 133.
• Watkinson, E. J., Dwyer, S., & Nielsen, A. B. (2005). Children theorize about reasons for recess engagement: Does expectancy–value theory apply? Adapted Physical Activity Quarterly, 22, 179.

External links

• Icek Ajzen's webpage
• Teachers Toolbox