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Causal Process “Observation†: Oxymoron or (Fine) Old Wine

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  • Beck, Nathaniel

Abstract

The issue of how qualitative and quantitative information can be used together is critical. Brady, Collier, and Seawright (BCS) have argued that “causal process observations†can be adjoined to “data set observations.†This implies that qualitative methods can be used to add information to quantitative data sets. In a symposium in Political Analysis, I argued that such qualitative information cannot be adjoined in any meaningful way to quantitative data sets. In that symposium, the original authors offered several defenses, but, in the end, BCS can be seen as recommending good, but hopefully standard, research design practices that are normally thought of as central in the quantitative arena. It is good that BCS remind us that no amount of fancy statistics can save a bad research design.

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  • Beck, Nathaniel, 2010. "Causal Process “Observation†: Oxymoron or (Fine) Old Wine," Political Analysis, Cambridge University Press, vol. 18(4), pages 499-505.
  • Handle: RePEc:cup:polals:v:18:y:2010:i:04:p:499-505_01
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    Cited by:

    1. Parker Hevron, 2018. "Judicialization and Its Effects: Experiments as a Way Forward," Laws, MDPI, vol. 7(2), pages 1-21, May.
    2. Alejandro Avenburg & John Gerring & Jason Seawright, 2023. "How do social scientists reach causal inferences? A study of reception," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(1), pages 257-275, February.
    3. Peter Lorentzen & M Taylor Fravel & Jack Paine, 2017. "Qualitative investigation of theoretical models: the value of process tracing," Journal of Theoretical Politics, , vol. 29(3), pages 467-491, July.
    4. Jon Nyhlén & Gustav Lidén, 2014. "Methods for analyzing decision-making: a framework approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(5), pages 2523-2535, September.

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