Department of Biostatistics, Dr. M.V. Govindaswamy Centre, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, 560 029, India.
BMC Med Educ. 2024 May 8;24(1):512. doi: 10.1186/s12909-024-05487-y.
Knowledge of statistics is highly important for research scholars, as they are expected to submit a thesis based on original research as part of a PhD program. As statistics play a major role in the analysis and interpretation of scientific data, intensive training at the beginning of a PhD programme is essential. PhD coursework is mandatory in universities and higher education institutes in India. This study aimed to compare the scores of knowledge in statistics and attitudes towards statistics among the research scholars of an institute of medical higher education in South India at different time points of their PhD (i.e., before, soon after and 2-3 years after the coursework) to determine whether intensive training programs such as PhD coursework can change their knowledge or attitudes toward statistics.
One hundred and thirty research scholars who had completed PhD coursework in the last three years were invited by e-mail to be part of the study. Knowledge and attitudes toward statistics before and soon after the coursework were already assessed as part of the coursework module. Knowledge and attitudes towards statistics 2-3 years after the coursework were assessed using Google forms. Participation was voluntary, and informed consent was also sought.
Knowledge and attitude scores improved significantly subsequent to the coursework (i.e., soon after, percentage of change: 77%, 43% respectively). However, there was significant reduction in knowledge and attitude scores 2-3 years after coursework compared to the scores soon after coursework; knowledge and attitude scores have decreased by 10%, 37% respectively.
The study concluded that the coursework program was beneficial for improving research scholars' knowledge and attitudes toward statistics. A refresher program 2-3 years after the coursework would greatly benefit the research scholars. Statistics educators must be empathetic to understanding scholars' anxiety and attitudes toward statistics and its influence on learning outcomes.
统计学知识对于研究学者来说非常重要,因为他们需要提交一篇基于原创研究的论文,这是博士课程的一部分。由于统计学在科学数据的分析和解释中起着重要作用,因此在博士课程开始时进行密集培训是必不可少的。印度的大学和高等教育机构都要求修读博士课程。本研究旨在比较印度南部一所医学高等教育机构的研究学者在博士课程不同时间点(即课程前、课程后不久和 2-3 年后)的统计学知识得分和对统计学的态度,以确定密集培训计划(如博士课程)是否可以改变他们对统计学的知识或态度。
通过电子邮件邀请了 130 名在过去三年内完成博士课程的研究学者参加这项研究。课程模块已经评估了他们在课程前和课程后不久的统计学知识和态度。课程后 2-3 年的统计学知识和态度使用 Google 表单进行评估。参与是自愿的,也征求了知情同意。
课程后知识和态度得分显著提高(即课程后不久,百分比变化分别为 77%和 43%)。然而,与课程后不久的分数相比,课程后 2-3 年的知识和态度分数显著降低;知识和态度分数分别下降了 10%和 37%。
研究得出结论,课程计划有助于提高研究学者对统计学的知识和态度。在课程后 2-3 年进行复习计划将极大地有益于研究学者。统计学教育者必须理解学者对统计学的焦虑和态度及其对学习成果的影响。