Factors affecting timely completion of a PhD: a complex systems approach

<em>Completing a PhD on time is a complex process, influenced by many interacting factors. In this paper we take a Bayesian Network approach to analyzing the factors perceived to be important in achieving this aim. Focusing on a single research group in Mathematical Sciences, we develop a conc...

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Main Authors: Jegar Pitchforth, Stephanie Beames, Aleysha Thomas, Matthew Falk, Charisse Farr, Susan Gasson, Sri Astuti Thamrin, Kerrie Mengersen
Format: Article
Language:English
Published: Indiana University Office of Scholarly Publishing 2012-12-01
Series:Journal of the Scholarship of Teaching and Learning
Subjects:
Online Access:http://josotl.indiana.edu/article/view/3144
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spelling doaj-aaae648f27764093b8ded21f1486eecc2020-11-25T00:39:16ZengIndiana University Office of Scholarly PublishingJournal of the Scholarship of Teaching and Learning1527-93162012-12-01124124135Factors affecting timely completion of a PhD: a complex systems approachJegar PitchforthStephanie BeamesAleysha ThomasMatthew FalkCharisse FarrSusan GassonSri Astuti ThamrinKerrie Mengersen<em>Completing a PhD on time is a complex process, influenced by many interacting factors. In this paper we take a Bayesian Network approach to analyzing the factors perceived to be important in achieving this aim. Focusing on a single research group in Mathematical Sciences, we develop a conceptual model to describe the factors considered to be important to students and then quantify the network based on five individual perspectives: the students, a supervisor and a university research students centre manager. The resultant network comprised 37 factors and 40 connections, with an overall probability of timely completion of between 0.6 and 0.8. Across all participants, the four factors that were considered to most directly influence timely completion were personal aspects, the research environment, the research project, and incoming skills. </em>http://josotl.indiana.edu/article/view/3144bayesian network, graduation, skills, environment, personal, project
collection DOAJ
language English
format Article
sources DOAJ
author Jegar Pitchforth
Stephanie Beames
Aleysha Thomas
Matthew Falk
Charisse Farr
Susan Gasson
Sri Astuti Thamrin
Kerrie Mengersen
spellingShingle Jegar Pitchforth
Stephanie Beames
Aleysha Thomas
Matthew Falk
Charisse Farr
Susan Gasson
Sri Astuti Thamrin
Kerrie Mengersen
Factors affecting timely completion of a PhD: a complex systems approach
Journal of the Scholarship of Teaching and Learning
bayesian network, graduation, skills, environment, personal, project
author_facet Jegar Pitchforth
Stephanie Beames
Aleysha Thomas
Matthew Falk
Charisse Farr
Susan Gasson
Sri Astuti Thamrin
Kerrie Mengersen
author_sort Jegar Pitchforth
title Factors affecting timely completion of a PhD: a complex systems approach
title_short Factors affecting timely completion of a PhD: a complex systems approach
title_full Factors affecting timely completion of a PhD: a complex systems approach
title_fullStr Factors affecting timely completion of a PhD: a complex systems approach
title_full_unstemmed Factors affecting timely completion of a PhD: a complex systems approach
title_sort factors affecting timely completion of a phd: a complex systems approach
publisher Indiana University Office of Scholarly Publishing
series Journal of the Scholarship of Teaching and Learning
issn 1527-9316
publishDate 2012-12-01
description <em>Completing a PhD on time is a complex process, influenced by many interacting factors. In this paper we take a Bayesian Network approach to analyzing the factors perceived to be important in achieving this aim. Focusing on a single research group in Mathematical Sciences, we develop a conceptual model to describe the factors considered to be important to students and then quantify the network based on five individual perspectives: the students, a supervisor and a university research students centre manager. The resultant network comprised 37 factors and 40 connections, with an overall probability of timely completion of between 0.6 and 0.8. Across all participants, the four factors that were considered to most directly influence timely completion were personal aspects, the research environment, the research project, and incoming skills. </em>
topic bayesian network, graduation, skills, environment, personal, project
url http://josotl.indiana.edu/article/view/3144
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