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11 - Mixing Models

from Part II - Model-Based Causal Inference

Published online by Cambridge University Press:  13 October 2023

Macartan Humphreys
Affiliation:
Wissenschaftszentrum Berlin für Sozialforschung
Alan M. Jacobs
Affiliation:
University of British Columbia, Vancouver
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Summary

This chapter shows how we can integrate inferences across models. We provide four examples of situations in which, by combining models, researchers can learn more than they could from any single model. Examples include situations in which researchers seek to integrate inferences from experimental and observational data, learn across settings, or integrate inferences from multiple studies.

Type
Chapter
Information
Integrated Inferences
Causal Models for Qualitative and Mixed-Method Research
, pp. 281 - 298
Publisher: Cambridge University Press
Print publication year: 2023

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  • Mixing Models
  • Macartan Humphreys, Wissenschaftszentrum Berlin für Sozialforschung, Alan M. Jacobs, University of British Columbia, Vancouver
  • Book: Integrated Inferences
  • Online publication: 13 October 2023
  • Chapter DOI: https://doi.org/10.1017/9781316718636.014
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  • Mixing Models
  • Macartan Humphreys, Wissenschaftszentrum Berlin für Sozialforschung, Alan M. Jacobs, University of British Columbia, Vancouver
  • Book: Integrated Inferences
  • Online publication: 13 October 2023
  • Chapter DOI: https://doi.org/10.1017/9781316718636.014
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.

  • Mixing Models
  • Macartan Humphreys, Wissenschaftszentrum Berlin für Sozialforschung, Alan M. Jacobs, University of British Columbia, Vancouver
  • Book: Integrated Inferences
  • Online publication: 13 October 2023
  • Chapter DOI: https://doi.org/10.1017/9781316718636.014
Available formats
×