Improving Data Quality in Face-to-Face Survey Research
| Autor: | Pablo Parás, Elizabeth J. Zechmeister, Michael Robbins, Carolyn Logan |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
021110 strategic
defence & security studies Face to face survey Sociology and Political Science business.industry media_common.quotation_subject Best practice 05 social sciences 0211 other engineering and technologies 02 engineering and technology Public relations Investment (macroeconomics) Field (computer science) 0506 political science Politics Data quality Political science 050602 political science & public administration Survey data collection Quality (business) business media_common |
| Zdroj: | PS: Political Science & Politics. 53:46-50 |
| ISSN: | 1537-5935 1049-0965 |
| DOI: | 10.1017/s1049096519001161 |
| Popis: | Data quality in survey research remains a paramount concern for those studying mass political behavior. Because surveys are conducted in increasingly diverse contexts around the world, ensuring that best practices are followed becomes ever more important to the field of political science. Bringing together insights from surveys conducted in more than 80 countries worldwide, this article highlights common challenges faced in survey research and outlines steps that researchers can take to improve the quality of survey data. Importantly, the article demonstrates that with the investment of the necessary time and resources, it is possible to carry out high-quality survey research even in challenging environments in which survey research is not well established. |
| Databáze: | OpenAIRE |
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