- 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
Controlling field interview quality is a major challenge in survey research. Even in high-quality surveys, interviewers often make mistakes that ultimately result in added error in results, including visiting the wrong locations, skipping questions or entire pages, failing to read the complete wording of the questions, or even committing fraud while filling out responses. Survey research conducted in developing countries has to deal with these problems more frequently than research conducted in advanced industrial countries. Computer assisted personal interview (CAPI) systems provide an ideal opportunity for improving the quality of the data by eliminating many sources of error and allowing unprecedented control of the field process. The Latin American Public Opinion Project’s (LAPOP) experience using ADGYS, an Android-based CAPI system, provides useful information on how this technology reduces interviewer-related error, offers opportunities to control the field process, and ultimately significantly improves the reliability and validity of survey data.
Mitchell A. Seligson is the Centennial Professor of Political Science and Professor of Sociology at Vanderbilt University and serves as a member of the General Assembly of the Inter-American Institute of Human Rights. He is the founder and Senior Advisor of the Latin American Public Opinion Project (LAPOP), which conducts the AmericasBarometer surveys that currently cover 27 countries in the Americas.
Daniel E. Moreno Morales is Executive Director and founding member of Ciudadanía, Comunidad de Estudios Sociales y Acción Pública, a local research NGO in Bolivia. He holds a PhD in Political Science from Vanderbilt University. He is an expert in public opinion and has worked on areas such as ethnic and national identity, citizenship, democratic values, and quality of democracy.
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