When less is more - Selection problems in large-N and small-N cross-national comparisons

被引:106
|
作者
Ebbinghaus, B [1 ]
机构
[1] Univ Mannheim, Fac Social Sci, D-68131 Mannheim, Germany
关键词
comparative methods; cross-national comparison; qualitative case studies; quantitative analysis; selection bias; welfare state research;
D O I
10.1177/0268580905052366
中图分类号
C91 [社会学];
学科分类号
030301 ; 1204 ;
摘要
The problem of case selection is a crucial but often overlooked issue in comparative cross-national research. The article discusses methodological shortcomings and potential solutions in selecting cases. All comparative research of social entities, whether quantitative or qualitative, faces the problem of contingency, the fact that the potential pool of cases has been pre-selected by historical and political processes. In large-N cross-national studies the use of inference statistics is problematic since random selection is rarely given and the cases represent a highly stratified set. In small-N case studies, however, the selection of cases is a deliberate choice based on the theory-driven comparative method. The epistemological and methodological problems of both comparative approaches are discussed and evaluated.
引用
收藏
页码:133 / 152
页数:20
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