Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
Hostname: page-component-76fb5796d-vvkck Total loading time: 0 Render date: 2024-04-27T17:55:25.182Z Has data issue: false hasContentIssue false

10 - Iterative Research

from Part IV - Bayesian Implications for Research Design

Published online by Cambridge University Press:  28 July 2022

Tasha Fairfield  and
Andrew E. Charman
Tasha Fairfield
Affiliation:
London School of Economics and Political Science
Andrew E. Charman
Affiliation:
University of California, Berkeley
Get access

Summary

This chapter explicates the Bayesian foundations of iterative research, where scholars move back and forth between theory revision, data collection, and data analysis. In this style of research, attention to likelihood ratios guards against common forms of confirmation bias, while Occam factors help to control ad hoc hypothesizing.

Keywords

Inductive researchtheory refinementhypothesis revisionlinear-deductive modelold evidenceconfirmation biasad hoc hypothesizingtransparencypreregistraiontheory testing
Type
Chapter
Information
Social Inquiry and Bayesian Inference
Rethinking Qualitative Research
 , pp. 463 - 506
Publisher: Cambridge University Press
Print publication year: 2022

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

  • Iterative Research
  • Tasha Fairfield, London School of Economics and Political Science, Andrew E. Charman, University of California, Berkeley
  • Book: Social Inquiry and Bayesian Inference
  • Online publication: 28 July 2022
  • Chapter DOI: https://doi.org/10.1017/9781108377522.016
Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

  • Iterative Research
  • Tasha Fairfield, London School of Economics and Political Science, Andrew E. Charman, University of California, Berkeley
  • Book: Social Inquiry and Bayesian Inference
  • Online publication: 28 July 2022
  • Chapter DOI: https://doi.org/10.1017/9781108377522.016
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Iterative Research
  • Tasha Fairfield, London School of Economics and Political Science, Andrew E. Charman, University of California, Berkeley
  • Book: Social Inquiry and Bayesian Inference
  • Online publication: 28 July 2022
  • Chapter DOI: https://doi.org/10.1017/9781108377522.016
Available formats
×