Procrastination can theoretically be conceived of as a motivational selfregulatory failure and is assumed to be a risk factor of college dropout in the higher education context. It was hypothesized that students' procrastination and college dropout intentions are closely related with their motivational regulation-in terms of the effectiveness of their efforts to self-regulate their motivation and in terms of the strategic knowledge behind the actual regulation attempts (conditional knowledge about the suitability of different motivational regulation strategies in different motivational problem situations). Data from 515 college students, who participated in an online study and stem from a variety of fields of study (58% female; average age of 23.2 years), was analyzed to test the hypothesized relationships. Structural equation modeling indicated that conditional motivational regulation strategy knowledge was positively linked to the effectiveness of motivational regulation, which in turn was negatively linked to academic procrastination and college dropout intentions. Subsequently, academic procrastination was positively related with college dropout intentions. A total negative indirect effect of conditional strategy knowledge on college dropout intentions was mediated by effectiveness of regulation and academic procrastination. The results are in line with the assumption that good competences to regulate one's own motivation are an important protection factor against academic procrastination and college dropout.

Student dropout can be conceptualized as a decision-making process, consisting of different phases. Based on previous literature on student dropout, decision-making, and action-phases, we proposed that the process of developing dropout intentions includes the following phases: non-fit perception, thoughts of quitting/changing, deliberation, information search, and a final decision. In the present cross-sectional study, we empirically investigated if the assumed phases can be distinguished from each other, if the phases follow the presumed order, and whether each phase is associated with certain characteristics. Furthermore, we considered a strict separation between quitting studies completely and changing a major. For this purpose, we analyzed data of N = 1005 students (average age of 23.0 years; 53% female; 47% male) from a German University. By using confirmatory factor analyses, we found the supposed factor structure for the different phases concerning both kinds of dropout, quitting studies, and changing majors. In each process, structural equation modelling indicated positive relations between adjoining phases. The factor values correlated to a substantial amount with an assortment of variables associated with student dropout. On a theoretical level, the conception of different phases of student dropout helps to get a better understanding of regulatory processes in the context of student dropout.

Academic procrastination can theoretically be conceptualized as a failure in motivational selfregulation. It can be assumed that besides the mere use of motivational regulation strategies, fitting motivational regulation strategies with the current motivational problem can also have beneficial effects on academic procrastination. As both academic procrastination and motivational regulation can be conceptualized as over time fluctuating and situation-specific behaviors, not only trait, but also state fractions of these constructs have to be considered. To elucidate the interrelations between academic procrastinatory behavior and motivational regulation, we therefore examined trait use, state use, trait fit, and state fit of motivational regulation strategies. To test their relevance for academic procrastinatory behavior, we conducted two longitudinal and situation-specific diary studies with 128 and 218 university students. Results of growth curve modeling indicate that academic procrastinatory behavior varies between persons, declines during exam preparation, and can be reduced by using wellfitting motivational regulation strategies. Specifically, both trait and state strategy fit were negatively associated with academic procrastinatory behavior, while mere strategy use was not.

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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.