主题分析
独创性
背景(考古学)
损耗
心理学
比例(比率)
监督人
位于
价值(数学)
定性研究
医学教育
教育学
社会学
医学
社会科学
管理
计算机科学
古生物学
人工智能
经济
牙科
物理
机器学习
生物
量子力学
作者
Anna Sverdlik,Lynn McAlpine,Nathan C. Hall
出处
期刊:Studies in graduate and postdoctoral education
[Emerald (MCB UP)]
日期:2021-06-04
卷期号:12 (2): 262-282
被引量:3
标识
DOI:10.1108/sgpe-06-2020-0035
摘要
Purpose The purpose of this study is to better understand the declines in doctoral students’ mental and physical health while pursuing their doctoral degrees, by revealing the major themes of students’ voluntary comments following a survey that primed students to reflect on these topics. Design/methodology/approach The present study used qualitative thematic analysis to uncover themes in doctoral students’ voluntary comments on a large-scale, web-based survey of graduate students’ motivation and well-being. Findings A thematic analysis revealed six major emerging themes: timing in the degree process, work-life balance, health/well-being changes, impostor syndrome, the supervisor and hopelessness. Research limitations/implications The themes uncovered in the present study contribute to the literature by highlighting important underexplored topics (e.g. timing in the degree process, hopelessness) in doctoral education research and they are discussed and situated in the context of existing literature. Practical implications Implications for doctoral supervisors and departments are discussed. Social implications The present study highlights some pressing concerns among doctoral students, as articulated by the students themselves and can contribute to the betterment of doctoral education, thereby reducing attrition, improving the experiences of doctoral students and possibly affording more candidates to achieve a doctoral degree. Originality/value The present study makes the above-mentioned contributions by taking a novel approach and analyzing doctoral students’ voluntary comments ( n = 607) on a large-scale, web-based survey. Thus, while some of the themes were primed by the survey itself, the data represent issues/concerns that students perceived as important enough to comment about after already having completed a lengthy questionnaire.
科研通智能强力驱动
Strongly Powered by AbleSci AI