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edu no longer supports Internet Explorer. To browse Academia. edu and the wider internet faster and more securely, please take a few seconds to upgrade your browser, phd thesis clustering. Log In with Facebook Log In with Google Sign Up with Apple. Remember me on this computer. Enter the email address you signed up with and we'll email you a reset link. Need an account? Click here to sign up. Download Phd thesis clustering PDF. Benoît Galand. Download PDF Download Full PDF Package This paper.
A short summary of this paper. Download PDF. Download Full PDF Package, phd thesis clustering. Translate PDF. declercq uclouvain. be Louvain-la-Neuve, Belgium Mariane Phd thesis clustering Université Catholique de Louvain, mariane, phd thesis clustering. frenay uclouvain. be Louvain-la-Neuve, Belgium Assaad Azzi Université Libre de Bruxelles, aazzi ulb. be Bruxelles, Belgium Olivier Klein Université Libre de Bruxelles, olivier. klein ulb.
be Bruxelles, Belgium Benoit Galand Université Catholique de Louvain, benoit. galand uclouvain. Background Grounded in the self-determination theory, the paper investigated needs phd thesis clustering faction and the doctoral completion process.
Methodology Two complementary methods were used. First, k-mean clustering was used to classify doctoral students according to their feelings of competence, auton- omy and relatedness. Second, the completion process of these five profiles was investigated through multi-group path analyses. Contribution This paper provided a motivational perspective on doctoral completion process that highlighted significant individual differences.
Accepting Editor Cynthia P, phd thesis clustering. Cite as: De Clercq, M. Inter- national Journal of Doctoral Studies, 16, When you copy and redistribute this paper in full or in part, you need to provide proper attribution to it to ensure that others can later locate this work and to ensure that others do not accuse you of plagiarism.
You may and we encour- age you to adapt, remix, transform, and build upon the material for any non-commercial purposes. This license does not permit you to use this material for commercial purposes. Investigation of PhD Students Motivation Profiles Findings Five profiles were identified corresponding to different combinations of satis- faction of their innate psychological needs.
The results phd thesis clustering revealed significant differences in the completion process from one motivation profile to another. Recommendations The doctoral supervision needs to consider the specificities of the patterns of for Practitioners motivation among doctoral students. Recommendations A more important investigation of motivational patterns is required to fully un- for Researchers derstand the doctoral completion process.
Future Research The effect of motivation and context on student satisfaction and professional efficiency could be further explored. As doctoral students are an important part of the faculty workforce e. In this regard, a growing number of researchers have tried to understand this wide-reaching issue by investigating the determinants of doctoral completion. To date, several factors have been found to be associated with doctoral completion, such as gender Groenvynck et al. Nevertheless, these studies suffer from three important limitations that we wanted to overcome in the present study.
First, most studies that have investigated doctoral completion are qualitative, limit- ing the generalizability of the findings De Clercq et al. Second, the small number of quanti- tative studies suffer from methodological weaknesses e.
An important limitation lies in the lack of multivariate approaches to doctoral degree completion. Un- derstanding this complex phenomenon, however, requires the consideration of multiple factors in interaction. Third, the motivation layer of the process is still underdeveloped and deserves further consideration Lynch et al.
Using a multivariate approach, the current research aimed at providing new insights to gain a better picture of the interplay between motivational and psychologi- cal factors at stake in doctoral completion. The first studies to address this question endorsed a qualitative design Brailsford, ; Gardner, phd thesis clustering, Brailsford identified a variety of intrinsic and extrinsic motives for starting doctoral phd thesis clustering. In this qualitative perspective, Devos et al.
From a quantita- tive perspective, Ivankova and Stick found that motivation was a significant predictor of doc- toral persistence. These results were corroborated by Masonphd thesis clustering, who demonstrated a positive ef- fect of motivation on student persistence and satisfaction, phd thesis clustering. From these findings, we can argue that motivational factors are critical for both starting and continuing doctoral studies.
Yet, as asserted by Lynch et al, phd thesis clustering. These authors claimed that SDT can provide a rich framework to identify the complex nature of motivation in doctoral studies and proximal correlates. A feeling of competence taps the need for the individual to feel able to deal with academic tasks Wigfield et al, phd thesis clustering. This variable comes near the conceptualization of self-efficacy beliefs widely studied in the context of higher education.
According to SDT, this variable can be assessed through a feeling of self- determination or personal interest in learning tasks and academic courses Weinstein et al, phd thesis clustering. A feeling of relatedness encompasses the perception of closeness and friendships with peers Vansteenkiste et al.
It taps the basic need to be connected, accepted, and valued by others. The study phd thesis clustering by Mason emphasized the relevance of these phd thesis clustering for the PhD student by highlighting that feelings of competence, autonomy and relatedness were related to persis- tence and well-being.
The study done by Litalien and Guay also corroborated the impact of the feeling of competence and autonomous motivation on intention to persist and actual completion.
SDT also postulates that the experience of autonomy, competence and relatedness is linked to the contextual provision of structure, autonomy, and involvement. According to Devos et al. Autonomy support can be defined as the amount of freedom given by supervisors to doctoral students in order to determine their own doctoral thesis Devos et al.
The qualitative work of these authors highlighted the relevance of the three types of supervisor support for the PhD student: provision of structure, autonomy, and involve- ment. These results were supported by quantitative studies that compared different sources of sup- port supervisor, students, and family on doctoral persistence De Clercq et al.
This research demonstrated that supervisor support was the most important source of support for PhD student persistence. The literature provides preliminary findings about the impact of doctoral motivation on completion. Yet several authors make a plea for a more thoughtful understanding of the role of motivation De Clercq et al. Two complementary phd thesis clustering can be then endorsed.
This study phd thesis clustering this perspective through a person-centered approach to these three self-perceptions. Second, there is a need for a more multivariate investigation of doctoral completion.
This study therefore endorses a multivariate framing of the doctoral completion process, encompassing contextual provision of structure, autonomy, and involvement.
A P ERSON -C ENTERED APPROACH TO DOCTORAL S TUDENT M OTIVATION Several authors endorsed a person-centered analysis of SDT among different groups. These include high school students Vansteenkiste et al. More precisely, the recent work of Gillet et al. This research high- lighted five stable profiles among university students: 1 the Globally Satisfied with a high level of competence, autonomy, and relatedness; 2 the Globally Satisfied and Highly Connected; 3 the Moderately Satisfied; 4 the Globally Dissatisfied and Relatedness Deficient; and 5 the Globally Dissatisfied, Highly Con- nected and Competent Deficient.
This variety of profiles highlighted the wide diversity of motivation pro- file. Yet it is still unclear today how these profiles relate to student perceptions, behaviors, phd thesis clustering, and persis- tence.
Moreover, no person-oriented approach to doctoral students has yet been endorsed. Such a SDT person-centered approach has been suggested by the qualitative study done by Devos et al. A C ONCEPTUAL F RAMING OF TH E DOCTORAL C OMPLETION P ROCESS To date, the doctoral completion process has not been clearly framed. This lack of clear modeling impedes understanding of the interplay between the most important factors in doctoral completion.
However, based on the literature on doctoral completion and on SDT, conceptual framing can be proposed. This model is illustrated in Figure 1.
Figure 1. However, several authors have suggested that the impact of supervisor support on doctoral completion is not direct but rather mediated by student psychological variables De Clercq et al.
Recent quantitative works Cornér et al. Recent works Marais et al. These authors instead highlighted the major im- phd thesis clustering of perceived progress in the thesis on the doctoral completion process Marais et al.
These results were in line with those of Cornwall et al. These results also agreed with the qualitative findings of Devos et al. These authors also highlighted another important factor, namely appropriation of the doctoral project Devos et al. Finally, several studies suggested that intention to persist is the most proximal predictor of doctoral student persistence and completion. This variable can be defined as the phd thesis clustering of the resolution to complete PhD studies.
This proximal impact of the intention on actual persistence is also supported, from a theoretical point of view, by the model of student departure Tinto,and planned behavior theory Ajzen,
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