Detecting Causal Chains in Small-n Data
Bibliographic Data
| ID | 2407429 |
|---|---|
| Authors | Michael Baumgartner (0000-0003-1536-2816, Osnabrück University, corresponding author) |
| Year | 2013 |
| Volume | 25 |
| Issue | 1 |
| Pages | 3-24 |
| Publication date | 2013-02-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | CAM (JOURNAL) |
| Journal identifiers | ISSN: 1087-8513 • E-ISSN: 1552-3969 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/1525822x12462527 |
| OpenAlex | W2111089979 |
| Language | EN |
| Citations received | 25 |
| References cited | 11 |
The first part of this article shows that qualitative comparative analysis (QCA)-also in its most recent form as in Ragin (2008) -does not correctly analyze data generated by causal chains. The incorrect modeling of data originating from chains essentially stems from QCA's reliance on Quine-McCluskey optimization to eliminate redundancies from sufficient and necessary conditions. Baumgartner (2009a , 2009b ) has introduced a Boolean methodology, termed coincidence analysis (CNA), which is related to QCA, yet, contrary to the latter, does not eliminate redundancies by means of Quine-McCluskey optimization. The second part of the article applies CNA to chain-generated data. It turns out that CNA successfully detects causal chains in small-[Formula: see text] data
Algorithm · Coincidence · Machine learning · Qualitative comparative analysis · Advanced Causal Inference Techniques · Computer Science · Mathematics · Qualitative Comparative Analysis Research · Theoretical Computer Science
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| Unique citing works | 25 |
|---|---|
| Citations per year | 2,08 |
| Citation span | 2014 - 2026 (13) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 24 |