- The Oxford Handbook of Polling and Survey Methods
- Introduction to Polling and Survey Methods
- Total Survey Error
- Longitudinal Surveys: Issues and Opportunities
- Mixing Survey Modes and Its Implications
- Taking the Study of Political Behavior Online
- Sampling for Studying Context: Traditional Surveys and New Directions
- Questionnaire Science
- Exit Polling Today and What the Future May Hold
- Sampling Hard-to-Locate Populations: Lessons from Sampling Internally Displaced Persons (IDPs)
- Reaching Beyond Low-Hanging Fruit: Surveying Low-Incidence Populations
- Improving the Quality of Survey Data Using CAPI Systems in Developing Countries
- Survey Research in the Arab World
- The Language-Opinion Connection
- Issues in Polling Methodologies: Inference and Uncertainty
- Causal Inference with Complex Survey Designs: Generating Population Estimates Using Survey Weights
- Aggregating Survey Data to Estimate Subnational Public Opinion
- Latent Constructs in Public Opinion
- Measuring Group Consciousness: Actions Speak Louder Than Words
- Cross-National Surveys and the Comparative Study of Electoral Systems: When Country/Elections Become Cases
- Graphical Visualization of Polling Results
- Graphical Displays for Public Opinion Research
- Survey Experiments: Managing the Methodological Costs and Benefits
- Using Qualitative Methods in a Quantitative Survey Research Agenda
- Integration of Contextual Data: Opportunities and Challenges
- Measuring Public Opinion with Social Media Data
- Expert Surveys as a Measurement Tool: Challenges and New Frontiers
- The Rise of Poll Aggregation and Election Forecasting
Abstract and Keywords
This chapter takes steps toward promoting the effective use of graphical displays in journal articles and research monographs on public opinion and survey research. It provides specific advice and guidelines about determining when a graph would be useful for communicating quantitative information; features to consider in selecting a graph for displaying data or analytic results; and characteristics and details associated with specific types of graphs that help to maximize the information they convey to their audience. The overall objective is to encourage survey researchers and public opinion scholars to use graphs in an effective manner, making them useful tools for conveying information about the data and analyses that comprise the central components of empirical research efforts.
Saundra K. Schneider is a Professor in the Department of Political Science at Michigan State University and the Director of the Inter-university Consortium for Political and Social Research Program in Quantitative Methods of Social Research at the University of Michigan. Her main research interests are public policy and methodology, with a focus on state-level program spending, health care policymaking, and public attitudes toward governmental disaster relief.
William G. Jacoby is a Professor in the Department of Political Science at Michigan State University. His main professional interests are mass political behavior (public opinion, political attitudes, and voting behavior) and quantitative methodology (measurement theory, scaling methods, statistical graphics, and modern regression).
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