Case Selection Techniques in Case Study Research: A Menu of Qualitative and Quantitative Options

Чтобы использовать цитирование, отправку по электронной почте, сохранение и экспорт, сначала выберите элементы результатов.

У вас может быть доступ к полной статье.

Попробуйте войти через свое учреждение и проверьте, есть ли у него доступ к полному тексту.

Content area

Полный текст

Headnote

How can scholars select cases from a large universe for in-depth case study analysis? Random sampling is not typically a viable approach when the total number of cases to be selected is small. Hence attention to purposive modes of sampling is needed. Yet, while the existing qualitative literature on case selection offers a wide range of suggestions for case selection, most techniques discussed require in-depth familiarity of each case. Seven case selection procedures are considered, each of which facilitates a different strategy for within-case analysis. The case selection procedures considered focus on typical, diverse, extreme, deviant, influential, most similar, and most different cases. For each case selection procedure, quantitative approaches are discussed that meet the goals of the approach, while still requiring information that can reasonably be gathered for a large number of cases.

Keywords: case study; case selection; qualitative methods; multimethod research

(ProQuest: . denotes formula omitted.)

Case selection is the primordial task of the case study researcher, for in choosing cases, one also sets out an agenda for studying those cases. This means that case selection and case analysis are intertwined to a much greater extent in case study research than in large-W cross-case analysis. Indeed, the method of choosing cases and analyzing those cases can scarcely be separated when the focus of a work is on one or a few instances of some broader phenomenon.

Yet choosing good cases for extremely small samples is a challenging endeavor (Gerring 2007, chaps. 2 and 4). Consider that most case studies seek to elucidate the features of a broader population. They are about something larger than the case itself, even if the resulting generalization is issued in a tentative fashion (Gerring 2004). In case studies of this sort, the chosen case is asked to perform a heroic role: to stand for (represent) a population of cases that is often much larger than the case itself. If cases consist of countries, for example, the population might be understood as a region (e.g., Latin America), a particular type of country (e.g., oil exporters), or the entire world (over some period of time). Evidently, the problem of representativeness cannot be ignored if the ambition of the case study is to reflect on a broader population of cases.