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Description
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.
Table of Contents
Introduction.- Concept of survey and key survey terms.- Designing a questionnaire and survey modes.- Sampling principles and missingness mechanisms.- Design effects at sampling phase.- Sampling design data file.- Missingness, its reasons and treatment.- Weighting adjustments due to unit missingness.- Special cases in weighting.- Statistical editing.- Introduction to statistical imputation.- Imputation methods for single variables.- Summary and key tasks of survey data cleaning.- Basic survey data analysis.-