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Attitudinal Stability on Short- and Long-Term Issues: A Data-Driven Learning Guide
Principal Investigator(s): Inter-university Consortium for Political and Social Research
Summary: Data-Driven Learning Guides are a collection of instructional exercises that can be used to enhance teaching of core concepts in the social sciences. This learning guide investigates differences in the stability of attitudes (i.e. consistency in a single attitude over time) about short and long term political issues. Short term issues are issues that have been important to politics for a relatively short period of time, while long term issues are those that have been central to politics and camp... (more info)
Access Notes
These data are not available from ICPSR. Users should consult the data owners directly (via Attitudinal Stability on Short- and Long-Term Issues) for details on obtaining the data and documentation.
Study Description
Scope of Study
Summary: Data-Driven Learning Guides are a collection of instructional exercises that can be used to enhance teaching of core concepts in the social sciences. This learning guide investigates differences in the stability of attitudes (i.e. consistency in a single attitude over time) about short and long term political issues. Short term issues are issues that have been important to politics for a relatively short period of time, while long term issues are those that have been central to politics and campaigns for years or decades. Research questions that can be explored using this learning guide include: how attitudinal stability on short term issues compares to attitudinal stability on long term issues, what factors may contribute to attitudinal stability, and what types of issues are particularly stable and what types are less stable. Correlation coefficients, comparisons of correlations, and T-statistics are used in the analyses.
Subject Terms: attitudes, instructional materials, political issues, politics, social sciences
Geographic Coverage: United States
Data Collection Notes:
Other Data-Driven Learning Guides covering such topics as aging, gender, race, social class, politics, and health are available on ICPSR's Online Learning Center .
Related Publications
- List all ~17 citations associated with this study
