Developing a student-doctoral education fit analytical model to assess performance

Ann-Marie Ward; Niamh Brennan

doi:10.1080/03075079.2018.1545758

Developing a student-doctoral education fit analytical model to assess performance

Ann-Marie Ward, Niamh Brennan

Research output: Contribution to journal › Article › peer-review

15 Citations (Scopus)

107 Downloads (Pure)

Abstract

Understanding factors that cause students problems throughout their doctoral education is of benefit to doctoral educators striving to improve doctoral completion rates. In this paper, Baker and Pifer’s (2015, “Antecedents and Outcomes: Theories of Fit and the Study of Doctoral Education.” Studies in Higher Education 40 (2): 296–310.) multidimensional framework of student-doctoral fit is extended to create a more nuanced framework comprising student-doctoral environment fit (including the sub-dimensions: student-organisation fit, student-private environment fit and student-people fit), student-vocation fit (including the sub-dimensions: student-motivation fit and student-learning environment fit) and student-doctoral culture fit (including the sub-dimensions: student-learning identity fit, student-(academic)writing fit and student-personal characteristics fit). We then operationalise the framework to create a doctoral student education fit analytical framework for providing insights on the association between fit and doctoral student performance. Our analytical model provides a springboard for fieldwork to examine student-doctoral education fit and doctoral student performance.

Original language	English
Pages (from-to)	1448-1460
Number of pages	13
Journal	Studies in Higher Education
Volume	45
Issue number	7
Early online date	15 Nov 2018
DOIs	https://doi.org/10.1080/03075079.2018.1545758
Publication status	Published (in print/issue) - 2 Jul 2020

Bibliographical note

Funding Information:
This work was supported by the Chartered Accountants Ireland Educational Trust. We acknowledge helpful comments on earlier drafts of the paper from participants at the following conferences/seminars: European Accounting Association Annual Congress 2016, British Accounting & Finance Association Accounting Education SIG Conference 2016, British Accounting & Finance Association Annual Conference 2017 and the Irish Accounting and Finance Association Conference 2017.

Publisher Copyright:
© 2018, © 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

Analytical framework
doctoral education
doctoral student performance
fit theory

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1080/03075079.2018.1545758Licence: CC BY-NC-ND

Final published versionFinal published version, 1.55 MBLicence: CC BY-NC-ND

Cite this

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Developing a student-doctoral education fit analytical model to assess performance

Abstract

Bibliographical note

Keywords

UN SDGs

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Anne-Marie Ward

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Developing a student-doctoral education fit analytical model to assess performance

Abstract

Bibliographical note

Keywords

UN SDGs

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Anne-Marie Ward

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