随机对照试验
背景(考古学)
荟萃分析
多样性(控制论)
面子(社会学概念)
定性研究
教育研究
研究设计
干预(咨询)
工程伦理学
心理学
医学教育
管理科学
计算机科学
数据科学
医学
数学教育
社会学
社会科学
护理部
人工智能
经济
古生物学
外科
工程类
内科学
生物
出处
期刊:Medical Teacher
[Taylor & Francis]
日期:2012-04-10
卷期号:34 (6): 468-473
被引量:79
标识
DOI:10.3109/0142159x.2012.671978
摘要
Education researchers seek to understand what works, for whom, in what circumstances. Unfortunately, educational environments are complex and research itself is highly context dependent. Faced with these challenges, some have argued that qualitative methods should supplant quantitative methods such as randomized controlled trials (RCTs) and meta-analysis. I disagree. Good qualitative and mixed-methods research are complementary to, rather than exclusive of, quantitative methods. The complexity and challenges we face should not beguile us into ignoring methods that provide strong evidence. What, then, is the proper role for RCTs and meta-analysis in medical education? First, the choice of study design depends on the research question. RCTs and meta-analysis are appropriate for many, but not all, study goals. They have compelling strengths but also numerous limitations. Second, strong methods will not compensate for a pointless question. RCTs do not advance the science when they make confounded comparisons, or make comparison with no intervention. Third, clinical medicine now faces many of the same challenges we encounter in education. We can learn much from other fields about how to handle complexity in RCTs. Finally, no single study will definitively answer any research question. We need carefully planned, theory-building, programmatic research, reflecting a variety of paradigms and approaches, as we accumulate evidence to change the art and science of education.
科研通智能强力驱动
Strongly Powered by AbleSci AI