发展科学
定性研究
多元方法论
心理学
定量研究
过程(计算)
混合(物理)
定性性质
研究设计
定性分析
数据科学
管理科学
计算机科学
发展心理学
数学教育
社会学
社会科学
物理
量子力学
机器学习
经济
操作系统
作者
Hirokazu Yoshikawa,Thomas S. Weisner,Ariel Kalil,Niobe Way
标识
DOI:10.1037/0012-1649.44.2.344
摘要
Multiple methods are vital to understanding development as a dynamic, transactional process. This article focuses on the ways in which quantitative and qualitative methodologies can be combined to enrich developmental science and the study of human development, focusing on the practical questions of "when" and "how." Research situations that may be especially suited to mixing qualitative and quantitative approaches are described. The authors also discuss potential choices for using mixed quantitative- qualitative approaches in study design, sampling, construction of measures or interview protocols, collaborations, and data analysis relevant to developmental science. Finally, they discuss some common pitfalls that occur in mixing these methods and include suggestions for surmounting them.
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