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Journal of the Scholarship of Teaching and Learning, v12 n4 p124-135 Dec 2012

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. (Contains 2 figures and 3 tables.)

Descriptors: Doctoral Degrees, Time to Degree, Bayesian Statistics, Network Analysis, Systems Approach, Influences, College Mathematics, Statistics, Graduate Students, Supervisors, Administrators, Foreign Students, Probability, Foreign Countries

Indiana University. 755 West Michigan Street UL 1180D, Indianapolis, IN 46202. Tel: 317-274-5647; Fax: 317-278-2360; e-mail: josotl[at]iupui.edu; Web site: http://www.iupui.edu/~josotl

Autor: Pitchforth, Jegar; Beames, Stephanie; Thomas, Aleysha; Falk, Matthew; Farr, Charisse; Gasson, Susan; Thamrin, Sri Astuti; Mengerse

Fuente: https://eric.ed.gov/?q=a&ft=on&ff1=dtySince_1992&pg=231&id=EJ992131

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