Nominal, Ordinal, and Narrative Appraisal in Macrocausal Analysis
Bibliographic Data
| ID | 2192525 |
|---|---|
| Authors | James Mahoney (0000-0002-4913-4435, John Brown University, corresponding author) |
| Year | 1999 |
| Volume | 104 |
| Issue | 4 |
| Pages | 1154-1196 |
| Publication date | 1999-01-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | American Journal of Sociology (JOURNAL) |
| Journal identifiers | ISSN: 0002-9602 • E-ISSN: 1537-5390 |
| Publisher | University of Chicago Press (PUBLISHER • US) |
| DOI | 10.1086/210139 |
| OpenAlex | W2049965034 |
| Language | EN |
| Citations received | 115 |
| References cited | 66 |
Macrocausal analysis is often characterized as following only a single strategy of causal inference. In fact, however, at least three different techniques are used: nominal, ordinal, and narrative strategies of causal assessment. Focusing on recent works of comparative history, this article presents an evaluation of the strengths and limitations of each strategy. In addition, it considers the trade‐offs involved in combining two or more strategies. Finally, the article discusses the role of scholarly tastes and skills, the research question, and ongoing research cycles in shaping the methodological approach selected by investigators
Causal inference · Cognitive psychology · Econometrics · Economics · Epistemology · Inference · Linguistics · Narrative · Positive economics · Advanced Causal Inference Techniques · Artificial Intelligence · Computer Science · Evaluation and Performance Assessment · Psychology · Qualitative Comparative Analysis Research
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| Unique citing works | 115 |
|---|---|
| Citations per year | 3,03 |
| Citation span | 1988 - 2026 (39) |
| Citation velocity | current |
| Highly cited | Yes |
| Citation types | Neutral: 109 |