The intraindividual process of study dropout, from forming dropout intention to deregistration, is of motivational nature. Yet typical studies investigate interindividual differences, which do not inform about intraindividual processes. Our study focused on the intraindividual process of forming dropout intention, and applied expectancy-value theory to analyze its motivational underpinnings. To expand research, we considered associations of intraindividual deviations in expectancy, intrinsic value, attainment value, utility value, and cost to intraindividual deviations in dropout intention. A total of 326 undergraduate students of law and mathematics rated motivational variables and dropout intention three times from semester start to the final exam period. Multilevel regression analyses revealed that intraindividual changes in intrinsic value, attainment, and cost, but not in expectancy and utility, related to intraindividual changes in dropout intention. Further, we considered students' demographics as moderators. Only age moderated the association between intrinsic value and dropout intention. Our results stress the crucial role of certain value components, including cost, for emerging dropout intention.
Student dropout is a multi-causal process. Different theoretical models on student dropout consider dysfunctional study behavior (e.g., academic procrastination) and low study satisfaction as possible determinants of students’ dropout intentions during their university studies. However, these models neglect contemporary conceptualizations that assume reverse relationships between dropout intentions and other determinants of the dropout process. Until now, empirical evidence on these assumptions is scant. The present three-wave longitudinal study explored the reciprocal relationships between academic procrastination, study satisfaction, and dropout intentions over one semester. To this end, we used data of N = 326 undergraduate students enrolled in mathematics and law. Our latent cross-lagged panel model replicated existing empirical cross-sectional findings between the variables (i.e., academic procrastination, study satisfaction, and dropout intentions). Regarding the longitudinal relations, as expected, the cross-lagged effects showed that higher dropout intentions significantly related to subsequent higher academic procrastination and lower study satisfaction. Unexpectedly, academic procrastination did not significantly relate to subsequent dropout intentions. Additionally, higher study satisfaction significantly associated with subsequent higher dropout intentions—possibly due to unfulfilled expectations. Further, higher study satisfaction significantly related to subsequent higher procrastination—possibly due to more confidence among satisfied students. Our results broaden the view on dropout intentions as part of the dynamic interplay of student dropout determinants and the need to refine dropout models’ assumptions accordingly. Practically, realistic expectations seem important to reduce dropout intentions. Further, student counselors should have a closer look at the reasons for academic procrastination to develop individual solutions for this dysfunctional behavior.
Auf der Basis eines multidimensionalen Verständnisses von Studienmotivation wird ein Zusammenspiel motivationaler Variablen verschiedener Phasen des Studiums im Hinblick auf akademische Erfolgskriterien angenommen. Jedoch gibt es hierzu bislang keine empirische Evidenz. In der vorliegenden Studie wurde das Ziel verfolgt, das intraindividuelle Zusammenspiel intrinsischer und extrinsischer Studienwahlmotivation als Variablen der Studienvorphase sowie des akademischen Selbstkonzepts und der akademischen Selbstwirksamkeit als Variablen der Phase im Studium in Form motivationaler Profile von Studierenden aufzudecken. Ferner wurden Unterschiede zwischen Studierenden verschiedener motivationaler Profile hinsichtlich demografischer Merkmale, Bildungsmerkmalen, Lernverhalten (Anstrengung und Prokrastination) und Befinden (Studienzufriedenheit, Studienabbruchintention) ermittelt. An der Studie nahmen N = 1,426 Studierende der Studienbereiche MINT, Rechtswissenschaft, Wirtschaftswissenschaft und Erziehungswissenschaft teil. Mittels der Analyse latenter Profile wurden fünf motivationale Profile ermittelt. Männliche Studierende, jüngere Studierende und Studierende jüngerer Semester waren in Profilen mit höheren Ausprägungen der motivationalen Variablen stärker vertreten. Insgesamt wiesen Studierende in Profilen mit höherer im Vergleich zu moderater Studienmotivation ein günstigeres Studierverhalten und geringere Studienabbruchintentionen auf. Der Beitrag stützt die Relevanz, die motivationalen Prozessen für günstiges Lernverhalten und Studienabbruch zugeschrieben wird. Auch wenn ein Großteil der Studierenden in diesem Beitrag eine hohe Studienmotivation berichtete, legen die Befunde nahe, Maßnahmen zur Förderung von Studienmotivation für Subgruppen von Studierenden in der Hochschulpraxis anzubieten.
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