Summary
Contents
Subject index
Unique in its integration of theory and application, this comprehensive book explains survey design, implementation, data analysis, and continuing data management, including how to effectively incorporate the latest technology (e.g., SurveyMonkey and Qualtrics). Data management and analysis are demonstrated and explained through statistical software including SPSS, SAS, and STATA. In addition to helping students develop a complete understanding of survey research from start to finish, the authors also address the challenges and issues of specific disciplines.
Data Collection
Data Collection
Introduction
So far, topics have included developing good survey questions, designing the survey, pretesting it, and drawing an appropriate sample. This chapter focuses on the actual data collection process. What you need to successfully collect quality data will depend on several things. First, it will depend on how you are administering the survey: self-administered versus interviewer administered. Next, it will depend on whether you are administering a longitudinal or cross-sectional survey. Also, there are decisions to be made about how often to contact sample members; how to handle refusals, ineligibles, and deaths; and how to audit data collection efforts. You will need to measure the final response rate you have achieved at the conclusion of the survey administration, organize data storage, and determine ...
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