This book focuses on quantitative survey methodology, data collection and cleaning methods. Providing starting tools for using and analyzing a file once a survey has been conducted, it addresses fields as diverse as advanced weighting, editing, and imputation, which are not well-covered in corresponding survey books. Moreover, it presents numerous empirical examples from the author's extensive research experience, particularly real data sets from multinational surveys.
1.Introduction
2.Concept of survey and key survey terms
2.1What is survey?
2.2Five populations in surveys
2.3Purpose of populations
2.4Cross-sectional survey micro data
2.5X variables, auxiliary variables in more details
2.6Summary of the terms and the symbols of Chapter 2
2.7Transformations
3.Designing a questionnaire and survey modes
3.1What is questionnaire design?
3.2One or more modes in one survey?
3.3Questionnaire and questioning
3.4Designing questions for the questionnaire
3.5Developing questions for the survey
3.6Satisficing
3.7Straightlining
3.8Examples on questions and scales
4.Sampling principles and missingness mechanisms
4.1Basic concepts, both for probability and non-probability sampling
4.2Missingness mechanisms
4.3Non-probability sampling cases
4.4Probability sampling framework
4.5Sampling and inclusion probabilities
4.6Illustration of the stratified three-stage sampling
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