Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2023
License: CC BY NC ND
Data sources: ZENODO
ZENODO
Article . 2023
License: CC BY NC ND
Data sources: Datacite
ZENODO
Article . 2023
License: CC BY NC ND
Data sources: Datacite
versions View all 2 versions
addClaim

Social Inquiry and Bayesian Inference: An "Objective" Vision for Mixed Method Research?

Authors: Bouchat, Sirus;

Social Inquiry and Bayesian Inference: An "Objective" Vision for Mixed Method Research?

Abstract

Social Inquiry and Bayesian Inference takes as its premise the idea that Bayesian inference has the power to redefine methodology in political science. Putting itself in the company of works like Rethinking Social Inquiry (Brady and Collier 2010), Fairfield and Charman (2022) position the book as an intervention into the reified divide between qualitative and quantitative research, seeking to elevate Bayesian inference as the unifying framework through which to reposition qualitative research on par with quantitative approaches. The specter of “subjectivity,” however, haunts the project throughout, both limiting its capacity to achieve its goals of defining a unifying framework for social scientific analysis, and leaving fundamental questions about research best practices in a Bayesian approach largely unaddressed.

Keywords

Qualitative Methods

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green