“I Choose so I am”. Choice of a University Major in Flanders.
Conference:
ECER 2012
Format:
Paper

Session Information

22 SES 05 B, Employability and Transition to Work of Higher Education Graduates

Parallel Paper Session

Time:
2012-09-19
11:00-12:30
Room:
FFL - Aula 2
Chair:
Gutiérrez-Esteban Prudencia

Contribution

Introduction

The choice of post-secondary major is a salient juncture in students’ educational career and can be easily described as a ‘major’ career decision with far-reaching implications for their educational and professional futures (Galotti, 1999). In an era of unbridled opportunities and choice alternatives, students at the doorstep of university face the important challenge of choosing a major that will direct their professional career to a large extent. In the present paper we will shed light on the factors associated with the choice process and the type  of major chosen in university.

Theoretical framework

The Eccles’ et al model of achievement related choice (2005) offers an integrative framework for examining the choice of university major. The model roughly consists of five larger clusters of determinants that influence students’ choices in both a proximal and distal way: (1) stable student characteristics such as gender and personality; (2) socio-cultural milieu, gender roles and socializer’s beliefs; (3) previous achievement-related experiences and perceptions of these experiences; (4) a student’s (long-short term) goals, (academic) self beliefs and expectations of success; and (5) subjective task values (e.g., interests, utility value and relative cost).

Objectives

The aim of the present study is threefold. First, we will provide some descriptive information on (a) students’ experiences of their choice process and (b) students’ motives to make the transition to higher education (b). Are students convinced of what major to choose at the end of secondary education? Are they affected by significant others (e.g., parents, peers) in their choice process?

In a next phase we will perform an in-depth exploration of the factors that are related to the type of major students choose in university. More specifically, we will investigate the joint effect of several clusters of determinants, partially reflecting the five building blocks of the Eccles’ et al. model of achievement related choice, that is: gender, SES, achievement in Dutch and Math, prior subject uptake in secondary education, academic self-concept, future aspirations and their interest pattern.

Undoubtedly, the choice of a university major is an important decisional threshold but the story does not end here. Therefore, in the final section we will analyze the factors associated with failure/success in the first year at university supplemented with a descriptive analysis of the choice made in the second year of higher education after failure in the first year. Do failed students repeat the same major or do they redirect their educational career towards another professional field?

Data

Data of the LOSO-project (the Dutch acronym for Longitudinal Research in Secondary Education; Van Damme et al., 2002) were used to answer the research questions. In the present study we focused on a subsample of 2284 students who opted for a university major. In order to attain the second research goal, we narrowed down the large number of university majors to a (statistically) manageable set by clustering  them into eight unordered categories: Engineering, Economics , Medical and Paramedical Sciences, Psychology and Educational Sciences, Law and Criminology, Sciences, Social and Political Sciences and Literature/History/Arts. 


Method

In order to adequately tackle the missing data challenge (inherently bound to longitudinal research), we used Multiple Imputation (MI) with five imputations. Because the overall percentage of missing data was low (11%), m=5 imputations suffice in order to prevent significant power fall-off (Graham, Olchowski & Gilreath, 2007). Given the unordered categorical nature of the dependent variable at stake, we used a multinomial logistic regression approach. This approach enables us to estimate the effect of a predictor on the odds of choosing a particular major in comparison with a reference category (in the present study the major literature/History/Arts served as the reference category). Based on theoretical arguments (directly following a backward reading of the Eccles’ et al. model of achievement related choice) and methodological considerations (stepwise forward entry method wherein different subsets of variables are entered in the model based on their statistical significance), three separate models are tested successively. First, the pattern of subjects chosen in secondary education serves as a first cluster of explanatory variables. Next, the pattern of occupational interests are added to the equation and finally, in the last step, the additional effect of gender, SES, achievement, academic self-concept and future aspirations is tested.

Expected Outcomes

Our results show a persuasive pattern between subjects chosen in secondary school and students’ interest pattern on the one hand and the type of major chosen on the other. Additionally, prior achievement, gender and future aspirations significantly contribute to the choice of a major. For example, students opting for an economics major are, stereotypically, students with more economics subjects chosen in secondary school, higher math grades, a higher interest in business and who attach great value to their future salary and career opportunities. Furthermore, the notion of a gender stereotypical choice still holds in that female and male students are more oriented towards social and engineering/science majors respectively and this gender-effect mainly goes through different interest patterns. With respect to success/failure, the results of binary logistic regression show that a higher achievement, more math and classical languages chosen in secondary school and a higher SES are important buffers against failure in the first year in university. Additionally, our results show that a quarter of the students who failed the first year re-orient their educational career in the direction of another professional field thus implying a wrong major choice. Practical implications for teachers and educational guidance counselors are discussed.

References

Eccles, J.S. (2005). Subjective task values and the Eccles et al. model of achievement related choices. In: Handbook of competence and motivation, Eds. A.J. Elliot & C.S. Dweck (pp. 105- 121). New York: Guilford Press. Galotti, K. M. (1999). Making a “major” real-life decision: College students choosing an academic major. Journal of Educational Psychology, 91, 379-387. Graham, J.W., Olchowski A.E., & Gilreath, T.D. (2007). How many imputations are really needed? Some practical clarifications of multiple imputation theory. Prevention Science, 8, 206-213. Van Damme, J., De Fraine B., Van Landeghem G., Opdenakker M. C. & Onghena, P. (2002). A new study on educational effectiveness in secondary education in Flanders: An introduction. School Effectiveness and School Improvement, 13, 383–397.

Author Information

Maarten Pinxten (presenting / submitting)
University of Leuven
Psychology and Educational Sciences
Leuven
Centre for Educational Effectiveness and Evaluation, University of Leuven, Belgium
Centre for Methodology in Educational Research, University of Leuven, Belgium
Centre for Educational Effectiveness and Evaluation, University of Leuven, Belgium

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