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.

Types of Surveys

Introduction

In determining the scale of the survey project to undertake, there are a number of considerations. You might produce a survey to collect the data necessary to answer your research questions, or you may be interested in participating in a larger survey that collects data on a number of topics and is, in turn, used by multiple researchers to address various research questions. Regardless, the way the survey is administered needs to be addressed: Will you interview individuals in person, by phone, by mail, over the Internet, or in some combination of these? In addition, will respondents self-administer the questionnaire, or will staff administer the questionnaire? A survey is the overall systematic procedure to collect data from different individuals. A questionnaire ...

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