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How do you reduce sampling bias, question response errors, and obtain good response rates from a mail survey? Aimed at improving the quality of mail survey data collection. Mail Surveys answers these questions and more while also offering insights and tips into conducting mail surveys.
Areas such as problems to avoid in mail surveys, what types of rating scales to use, whether to select open-ended versus close-ended questions, screening questions and skip instructions, question and response order effects, sampling strategies, and ways to reduce nonresponse errors from prenotification to incentives are explored throughout the text. Through the use of clear exposition and interesting examples, Mangione carefully delineates those situations that are most appropriate for a mail survey.
- Students and researchers who want to improve the writing of mail survey questions as well as mail survey design will want this volume.
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Includes bibliographical references (p. 117-123) and index.
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- Created April 1, 2008
- 14 revisions
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July 18, 2024 | Edited by MARC Bot | import existing book |
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April 1, 2008 | Created by an anonymous user | Imported from Scriblio MARC record |