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Integrated Inferences: Causal Models for Qualitative and Mixed-Method Research (Strategies for Social Inquiry)

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Description:There is a growing consensus in the social sciences on the virtues of research strategies that combine quantitative with qualitative tools of inference. Integrated Inferences develops a framework for using causal models and Bayesian updating for qualitative and mixed-methods research. By making, updating, and querying causal models, researchers are able to integrate information from different data sources while connecting theory and empirics in a far more systematic and transparent manner than standard qualitative and quantitative approaches allow. This book provides an introduction to fundamental principles of causal inference and Bayesian updating and shows how these tools can be used to implement and justify inferences using within-case (process tracing) evidence, correlational patterns across many cases, or a mix of the two. The authors also demonstrate how causal models can guide research design, informing choices about which cases, observations, and mixes of methods will be most useful for addressing any given question.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Integrated Inferences: Causal Models for Qualitative and Mixed-Method Research (Strategies for Social Inquiry). To get started finding Integrated Inferences: Causal Models for Qualitative and Mixed-Method Research (Strategies for Social Inquiry), you are right to find our website which has a comprehensive collection of manuals listed.
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ISBN: 1316761843

Description: There is a growing consensus in the social sciences on the virtues of research strategies that combine quantitative with qualitative tools of inference. Integrated Inferences develops a framework for using causal models and Bayesian updating for qualitative and mixed-methods research. By making, updating, and querying causal models, researchers are able to integrate information from different data sources while connecting theory and empirics in a far more systematic and transparent manner than standard qualitative and quantitative approaches allow. This book provides an introduction to fundamental principles of causal inference and Bayesian updating and shows how these tools can be used to implement and justify inferences using within-case (process tracing) evidence, correlational patterns across many cases, or a mix of the two. The authors also demonstrate how causal models can guide research design, informing choices about which cases, observations, and mixes of methods will be most useful for addressing any given question.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Integrated Inferences: Causal Models for Qualitative and Mixed-Method Research (Strategies for Social Inquiry). To get started finding Integrated Inferences: Causal Models for Qualitative and Mixed-Method Research (Strategies for Social Inquiry), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Integrated Inferences: Causal Models for Qualitative and Mixed-Method Research (Strategies for Social Inquiry)

Integrated Inferences: Causal Models for Qualitative and Mixed-Method Research (Strategies for Social Inquiry)

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