Survey Methodology and Missing Data Tools and Techniques for Practitioners /

• Κύριος συγγραφέας: Laaksonen, Seppo (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Θέματα: Statistics .; Sociology-Research.; Econometrics.; Psychometrics.; Statistics for Social Sciences, Humanities, Law.; Research Methodology.; Statistics for Life Sciences, Medicine, Health Sciences.

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 correspon...

Πίνακας περιεχομένων:

• 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
• .