Department of Social Psychology, Nankai University, Tianjing, P.R. China.
Center for Magnetic Resonance Research, University of Minnesota at Twin Cities, Minneapolis, MN, USA.
Psychol Health Med. 2021 Apr;26(4):395-407. doi: 10.1080/13548506.2020.1738019. Epub 2020 Mar 11.
The popularity of research topics in clinical psychology has always been changing over time. In this study, we use Latent Dirichlet Allocation (LDA), a well-established statistical modeling approach in machine learning, to extract hot research topics in published review articles in clinical psychology. In Study 1, we use LDA to extract existing topics between 1981 to 2018 from the review articles published on three premium journals in clinical psychology. Results provide stable information about all topics and their proportions. In Study 2, we use a dynamic variant of LDA to identify the development of hot topics from 2007 to 2018. Results show that , and constantly stay as hot topics all over the 12 years. We also find that has a clear rising trend since 2007. Our results provide a comprehensive summary of the popularity of research topics in clinical psychology in the last couple of years, and the results here can help clinical researchers form a structured view of past research and plan future research directions.
临床心理学研究主题的流行度一直随时间而变化。在本研究中，我们使用潜在狄利克雷分配（Latent Dirichlet Allocation，LDA），这是机器学习中一种成熟的统计建模方法，从临床心理学发表的综述文章中提取热门研究主题。在研究 1 中，我们使用 LDA 从临床心理学三个顶级期刊发表的综述文章中提取 1981 年至 2018 年之间的现有主题。结果提供了关于所有主题及其比例的稳定信息。在研究 2 中，我们使用 LDA 的动态变体来识别 2007 年至 2018 年热门主题的发展。结果表明，认知行为疗法、正念和焦虑症一直是 12 年来的热门主题。我们还发现，创伤后应激障碍自 2007 年以来呈明显上升趋势。我们的研究结果全面总结了过去几年临床心理学研究主题的流行度，这里的结果可以帮助临床研究人员形成对过去研究的结构化认识，并规划未来的研究方向。
