For today's applied statisticians and data scientists, collaboration is a reality. Statisticians (and data scientists) may collaborate with domain experts across academic fields, industry sectors, and governmental and non-governmental organizations. Thus, statisticians must develop skills and techniques for collaboration. To this end, we advance a framework called the Qualitative-Quantitative-Qualitative (QQQ, pronounced "Q-Q-Q") approach to systematize the content of statistical collaborations. The QQQ approach explicitly emphasizes the importance of the qualitative context of a project, as well as the qualitative interpretation of quantitative findings. We explain the QQQ approach and each of its components as applied to statistics and data science consultations and collaborations. We provide guidance for implementing each stage of the approach and present data evaluating the effectiveness of teaching the QQQ approach to beginning collaborators.
翻译:对于当今的应用统计学家和数据科学家来说,协作是一种现实,统计学家(和数据科学家)可以与学术领域、工业部门、政府和非政府组织的域专家合作,因此统计人员必须发展合作技能和技巧,为此,我们推行一个称为定性定量定性(Q-Q-QQ)方法的框架,使统计协作的内容系统化。该方法明确强调项目质量背景的重要性,以及对定量调查结果的定性解释。我们解释了用于统计和数据科学磋商与合作的 方法及其每个组成部分。我们为该方法的每个阶段的实施提供指导,并提出数据,评估对初始合作者采用的方法的教学效果。