Case Selection via Matching
Datos Bibliográficos
| ID | 2330747 |
|---|---|
| Autores | Richard A Nielsen (Massachusetts Institute of Technology, autor de correspondencia) |
| Año | 2016 |
| Volumen | 45 |
| Número | 3 |
| Páginas | 569-597 |
| Fecha de publicación | 2016-08-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Sociological Methods & Research (JOURNAL) |
| Identificadores de la revista | ISSN: 0049-1241 • E-ISSN: 1552-8294 |
| Editorial | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/0049124114547054 |
| OpenAlex | W2045767888 |
| Idioma | EN |
| Citas recibidas | 46 |
| Referencias citadas | 43 |
This article shows how statistical matching methods can be used to select 'most similar' cases for qualitative analysis. I first offer a methodological justification for research designs based on selecting most similar cases. I then discuss the applicability of existing matching methods to the task of selecting most similar cases and propose adaptations to meet the unique requirements of qualitative analysis. Through several applications, I show that matching methods have advantages over traditional selection in 'most similar' case designs: They ensure that most similar cases are in fact most similar; they make scope conditions, assumptions, and measurement explicit; and they make case selection transparent and replicable
Case selection · Data mining · Machine learning · Matching (statistics) · Scope (computer science) · Selection (genetic algorithm) · Statistics · Systems engineering · Task (project management) · Advanced Causal Inference Techniques · Computer Science · Evaluation and Performance Assessment · Mathematics · Qualitative Comparative Analysis Research
Designing multi‐site studies for external validity
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| Obras citantes distintas | 46 |
|---|---|
| Citas por año | 1,05 |
| Intervalo de citas | 1982 - 2026 (45) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 42 |