样品(材料)
计算机科学
利用
叙述的
多元方法论
概念模型
采样(信号处理)
数据科学
管理科学
心理学
计量经济学
数学
数学教育
工程类
语言学
化学
哲学
计算机安全
滤波器(信号处理)
色谱法
数据库
计算机视觉
作者
Claire Burke Draucker,Susan M. Rawl,Emilee Vode,Lisa Carter‐Harris
标识
DOI:10.1177/0193945920914647
摘要
The purposes of this methods article are to (a) discuss how integration can occur through a connecting approach in explanatory sequential mixed methods studies, (b) describe a connecting strategy developed for a study testing a conceptual model to predict lung cancer screening, and (c) describe three analytic products developed by subsequent integration procedures enabled by the connecting strategy. Connecting occurs when numeric data from a quantitative strand of a study are used to select a sample to be interviewed for a subsequent qualitative strand. Because researchers often do not fully exploit numeric data for this purpose, we developed a multi-step systematic sampling strategy that produced an interview sample of eight subgroups of five persons ( n = 40) whose profiles converged with or diverged from the conceptual model in specified ways. The subgroups facilitated the development of tailored interview guides, in-depth narrative summaries, and exemplar case studies to expand the quantitative findings.
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