混合方法实施研究中定性数据收集与分析的目的抽样法
Purposeful Sampling for Qualitative Data Collection and Analysis in Mixed Method Implementation Research.
作者信息
Palinkas Lawrence A, Horwitz Sarah M, Green Carla A, Wisdom Jennifer P, Duan Naihua, Hoagwood Kimberly
机构信息
School of Social Work, University of Southern California, 669 W. 34th Street, Los Angeles, CA, 90089-0411, USA,
出版信息
Adm Policy Ment Health. 2015 Sep;42(5):533-44. doi: 10.1007/s10488-013-0528-y.
Abstract
Purposeful sampling is widely used in qualitative research for the identification and selection of information-rich cases related to the phenomenon of interest. Although there are several different purposeful sampling strategies, criterion sampling appears to be used most commonly in implementation research. However, combining sampling strategies may be more appropriate to the aims of implementation research and more consistent with recent developments in quantitative methods. This paper reviews the principles and practice of purposeful sampling in implementation research, summarizes types and categories of purposeful sampling strategies and provides a set of recommendations for use of single strategy or multistage strategy designs, particularly for state implementation research.
摘要
立意抽样在定性研究中被广泛用于识别和选择与感兴趣现象相关的信息丰富的案例。尽管有几种不同的立意抽样策略，但标准抽样似乎在实施研究中使用最为普遍。然而，结合抽样策略可能更适合实施研究的目标，并且更符合定量方法的最新发展。本文回顾了实施研究中立意抽样的原则和实践，总结了立意抽样策略的类型和类别，并为单策略或多阶段策略设计的使用提供了一套建议，特别是针对州实施研究。
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