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Combining objective and subjective indicator variables / Jonathan Rogers.

SAGE Research Methods Cases Part II Available online

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Format:
Book
Author/Creator:
Rogers, Jonathan, active 2019, author.
Series:
SAGE Research Methods. Cases.
SAGE Research Methods. Cases
Language:
English
Subjects (All):
Tea Party movement--Case studies.
Tea Party movement.
Objectivity--Case studies.
Objectivity.
Subjectivity--Case studies.
Subjectivity.
United States--Economic conditions--Case studies.
United States.
Physical Description:
1 online resource.
Place of Publication:
London : SAGE Publications Ltd, 2019.
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.
Notes:
Includes bibliographical references and index.
Description based on XML content.
ISBN:
1-5264-6649-X
9781526466495
OCLC:
1084577409

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