All Else Equal in Theory and Data (Big or Small)
The forms of explanation that dominate political science research in the formal-theory and causal-inference traditions are closely connected. Specifically, each explanation makes essential use of different but related types of all-else-equal claims. The emergence of "big data" already has...
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| Veröffentlicht in: | PS, political science & politics political science & politics, 2015-01, Vol.48 (1), p.89-94 |
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| container_title | PS, political science & politics |
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| creator | Ashworth, Scott Berry, Christopher R. Mesquita, Ethan Bueno de |
| description | The forms of explanation that dominate political science research in the formal-theory and causal-inference traditions are closely connected. Specifically, each explanation makes essential use of different but related types of all-else-equal claims. The emergence of "big data" already has begun to alter the landscape of empirical social science by making new sources of information (and, thus, new phenomena) amenable to quantitative analysis. However, neither the value of explanations rooted in all-else-equal claims nor the challenges associated with providing them will be altered in the least by big data. |
| doi_str_mv | 10.1017/S1049096514001802 |
| format | Article |
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| ispartof | PS, political science & politics, 2015-01, Vol.48 (1), p.89-94 |
| issn | 1049-0965 1537-5935 |
| language | eng |
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| source | Worldwide Political Science Abstracts; JSTOR; Cambridge University Press Journals Complete |
| subjects | Beliefs Causality Data analysis Inferences Landscape Political science Political Science Research Quantitative Methods Regression (Statistics) Social Sciences Symposium: Big Data, Causal Inference, and Formal Theory: Contradictory Trends in Political Science? |
| title | All Else Equal in Theory and Data (Big or Small) |
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