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.
Implementing a Survey
In the previous section, making decisions on the administration of a given survey, developing the questionnaire, and assessing the validity and reliability of the questionnaire were presented. This section will focus on creating the sample and conducting the survey.
Chapter 7, “Selecting a Sample: Probability Sampling,” will focus on traditional probability sampling techniques. The chapter will start by introducing the reader to basic sampling terminology and proceed to a brief discussion of sampling theory. Next, it will introduce four probability sampling techniques: simple random sampling, stratified sampling, cluster sampling, and multistage stratified sampling. Variations such as systematic random sampling and proportional versus disproportionate stratified sampling will be discussed. In addition, the chapter will address issues such as choosing a sample size, oversampling ...
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