Keep going or just let it go? Consequential validity of attainability feedback in tertiary education. Do expectancy and value matter?
Author(s):
Conference:
ECER 2017
Format:
Paper

Session Information

Paper Session

Time:
2017-08-23
15:30-17:00
Room:
K5.14
Chair:
Diana Aguiar Vieira

Contribution

Choosing a suitable career and/or tertiary education program is often a daunting task. During the career choice process, adolescentsmay need to compromise on a career goal because of environmental (e.g., distance, availability of study program…) or personal (e.g., intellectual, motivational…) constraints. This idea of compromising between aspirations and reality is well-embedded in theories of occupational choice such as the Theory of Circumscription and Compromise (Gottfredson, 1981) and Career Construction Theory (Savickas, 2006). It is also a central premise of goal-setting models (e.g., Bandura’s social cognitive theory (1991) and Carver & Scheier’s control model (1990)), which state that goal-setting is guided by a feedback loop in which there is a continual evaluation of the attainability of goals. Either the individual tries to change the situation to conform more closely with the goal (goal engagement) or the individual adjusts the goal to meet the constraints (goal disengagement).

This goal management is addressed in two major theories of developmental regulation, the dual-process framework (Brandtstädter & Rothermund, 2002) and the Motivational theory of life-span development (MTD, Jutta Heckhausen, Wrosch, & Schulz, 2010). Both theories provide a framework to understand the dynamic processes by which goals are adapted.

Two important factors are said to influence the ease of disengagement (Brandtstädter and Rothermund, 2002).First, the subjective attainability of a goal and, second, its personal importance and centrality. These factors are in line with the expectancy-value theory of achievement motivation (see e.g., Eccles & Wigfield, 2002) in which achievement choices are a function of the expectancy of success and the value of the goal. During the career choice process, especially the expectancy of success is problematic. Students on the verge of making career and/or educational choices lack previous experiences within the job or higher education context, which hinders the evaluation of attainability. As such, realistic goal-setting becomes difficult. Therefore, students are in need of feedback on the attainability of their choices. Yet, when receiving this type of information, do students actually follow-up on it? Some students seem to persist in engaging with a career goal in spite of feedback that the goal is unattainable.

Different goal-setting models predict opposing reactions to feedback. According to social cognitive theory (Bandura, 1991) negative feedback decreases people’s confidence and thus their success expectations which leads them to disengage from the goal. From a control theoretical perspective (Carver & Scheier, 1990) on the other hand, negative feedback encourages further goal pursuit by signaling that more effort is needed. 

Thus, reactions to feedback do not seem to be universal. Therefore, individual and situational differences are important (Eva et al., 2012). Perhaps expectancy and value variables influence the reaction to attainability feedback. This study seeks to shed light on the influence of expectancy and value on the reaction to attainability feedback for career goal management. Who will disengage from a career goal after receiving (negative) attainability feedback and who will continue to strive for it?

The processes and factors that influence goal disengagement are still unclear (Heckhausen et al., 2010). Especially studies in ecologically valid settings are lacking (Tomasik & Silbereisen, 2012). Moreover, there is limited research into disengagement from career goals during the study choice process (Creed & Blume, 2013). Also, we know little about the role that feedback plays in career development (Creed, Wamelink, & Hu, 2015), and more specifically the factors that determine the acceptance of such feedback.

This study aims to fill this void by examining the effect of inter-individual differences in the acceptance of (negative) attainability feedback on goal disengagement during the study choice process. As such, it is a study of consequential validity. 

Method

At the start of the academic year students were tested on very basic and program specific skills that are necessary prerequisites to pass in higher education (e.g., basic reasoning skills, basic mathematical knowledge) as well as on non-cognitive variables such as expectancy of success (College Academic Self-efficacy Scale (Owen & Froman, 1988)) and autonomous motivation (Self-Regulation Questionnaire (Vansteenkiste, Sierens, Soenens, Luyckx, & Lens, 2009)). Three weeks into the academic year students received a personal feedback report. This report entailed detailed scores on each of the tested skills along with elaborate information on remedial courses that tap into these skills and thus might aid in passing their first year at university. The report also encompassed a personal chance of success for the specific study program (expressed as high, average, low) which was previously validated (Fonteyne, Duyck, & De Fruyt, 2016). A low chance of success indicates that a student has 95% chance of failing the first year. After two months all students were invited to fill out a follow-up questionnaire with the purpose of evaluating the effect of the feedback reports. During this follow-up, career goal management strategies were measured. For goal engagement, both the assimilation scale (Haratsis, Creed, & Hood, 2015) and the selective primary control subscale were used (J. Heckhausen, Schulz, & Wrosch, 1998). For goal disengagement, the accommodation scale (Haratsis et al., 2015) and the Goal disengagement and re-engagement scale (Wrosch, Scheier, Miller, Schulz, & Carver, 2003) were administered. The effect of expectancy and value variables on career goal management is evaluated for each feedback group (low-average-high chance of success of passing) using multilevel modeling techniques.

Expected Outcomes

We expect very little goal disengagement in the high chance of success group. In the low chance of success group we expect more goal disengagement and we expect that disengagement will be more likely when self-efficacy and motivation are relatively low, which is in accordance with social cognitive theory. When self-efficacy and value are high it is possible that there is continued engagement and more effort towards goal attainment, which corresponds to predictions made by control theorists. In the average chance of success group results might parallel those from the low chances group. Yet, differential effects of expectancy and value variables in this group will be evaluated. The current study differs in two important ways. First, little is known on how to give feedback in order to promote disengagement from goals instead of persistence. Although the benefits of goal disengagement have been demonstrated (see Heckhausen et al., 2010), the question of how giving feedback can encourage people to let go of unattainable goals has not been addressed. Second, the effect of feedback in a career choice context has received scant attention. Therefore, this study is new in that it examines whether beginning students disengage from career goals following negative feedback. If the acceptance of attainability feedback varies in function of expectancy and value variables, this has practical implications. For example, it can aid the development of personalized feedback strategies.

References

Bandura, A. (1991). Social cognitive theory of self-regulation. Organizational Behavior and Human Decision Processes, 50(2), 248-287. Brandtstädter, J., & Rothermund, K. (2002). The life-course dynamics of goal pursuit and goal adjustment: A two-process framework. Developmental Review, 22(1), 117-150. Carver, C. S., & Scheier, M. F. (1990). Origins and functions of positive and negative affect: A control-process view. Psychological review, 97(1), 19. Creed, P. A., & Blume, K. (2013). Compromise, Well-Being, and Action Behaviors in Young Adults in Career Transition. Journal of Career Assessment, 21(1), 3-19. Creed, P. A., Wamelink, T., & Hu, S. (2015). Antecedents and consequences to perceived career goal-progress discrepancies. Journal of Vocational Behavior, 87, 43-53. doi:10.1016/j.jvb.2014.12.001 Eccles, J., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual review of psychology, 53(1), 109-132. Eva, K. W., Armson, H., Holmboe, E., Lockyer, J., Loney, E., Mann, K., & Sargeant, J. (2012). Factors influencing responsiveness to feedback: on the interplay between fear, confidence, and reasoning processes. Advances in Health Sciences Education, 17(1), 15-26. doi:10.1007/s10459-011-9290-7 Fonteyne, L., Duyck, W., & De Fruyt, F. (2016). Program-Specific Prediction of Academic Achievement on the basis of Cognitive and Non-cognitive Factors. Manuscript submitted for publication. Gottfredson, L. S. (1981). Circumscription and Compromise - A Developmental Theory of Occupational Aspirations. J Couns Psychol, 28(6), 545-579. doi:10.1037//0022-0167.28.6.545 Haratsis, J. M., Creed, P. A., & Hood, M. (2015). Measuring assimilative and accommodative resources in young adults: Development and initial validation of suitable scales. Personality and Individual Differences, 81, 61-66. doi:10.1016/j.paid.2014.12.011 Heckhausen, J., Schulz, R., & Wrosch, C. (1998). Developmental Regulation in Adulthood: Optimization in Primary and Secondary Control – A Multiscale questionnaire (OPS-Scales) Retrieved from Berlin, Germany: Heckhausen, J., Wrosch, C., & Schulz, R. (2010). A motivational theory of life-span development. Psychological review, 117(1), 32. Owen, S., & Froman, R. (1988). Development of a college academic self-efficacy scale. Paper presented at the National Council on Measurement in Education, New Orleans, LA. Savickas, M. L. (2006). Career construction theory. Paper presented at the Proceedings of the 15 th Annual Careers Conference. Tomasik, M. J., & Silbereisen, R. K. (2012). Beneficial effects of disengagement from futile struggles with occupational planning: A contextualist-motivational approach. Developmental Psychology, 48(6), 1785. Vansteenkiste, M., Sierens, E., Soenens, B., Luyckx, K., & Lens, W. (2009). Motivational profiles from a self-determination perspective: the quality of motivation matters. Journal of Educational Psychology, 101(3), 671-688. doi:10.1037/a0015083 Wrosch, C., Scheier, M. F., Miller, G. E., Schulz, R., & Carver, C. S. (2003). Adaptive self-regulation of unattainable goals: Goal disengagement, goal reengagement, and subjective well-being. Personality and Social Psychology Bulletin, 29(12), 1494-1508.

Author Information

Lot Fonteyne (submitting)
Ghent University
Ghent
Stijn Schelfhout (presenting)
Ghent University
Liedekerke
Ghent University, Belgium
Ghent University, Belgium

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