Combining objective and subjective indicator variables /

Many researchers work with survey data and many work with observational data, but combining the two is less common. Among other things, doing so allows the researcher to compare objective and subjective measures. However, it can introduce its own set of challenges, as the researcher must choose appr...

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Bibliographic Details
Main Author:	Rogers, Jonathan, active 2019 (Author)
Format:	eBook
Language:	English
Published:	London : SAGE Publications Ltd, 2019.
Series:	SAGE Research Methods. Cases.
Subjects:	Tea Party movement > Case studies. United States > Economic conditions > Case studies. Objectivity > Case studies. Subjectivity > Case studies. Evaluation Studies as Topic Research Design Tea Party (Mouvement) > Études de cas. États-Unis > Conditions économiques > Études de cas. Objectivité > Études de cas. Economic history. Objectivity. Subjectivity. Tea Party movement. United States. Case studies.
Online Access:	Connect to the full text of this electronic book

Description
Summary:	Many researchers work with survey data and many work with observational data, but combining the two is less common. Among other things, doing so allows the researcher to compare objective and subjective measures. However, it can introduce its own set of challenges, as the researcher must choose appropriate objective measures at an appropriate level (e.g., local, regional, or national). I approached this problem when studying the relationship between economic evaluations, economic conditions, and support for the Tea Party. This case study reports how I found that support for the Tea Party predicts negative evaluations but actually living in an area with high unemployment does not predict support.
Physical Description:	1 online resource.
Bibliography:	Includes bibliographical references and index.
ISBN:	9781526466495 152646649X