Survey Methodology and Missing Data Tools and Techniques for Practitioners
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...
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| Format: | eBook |
| Language: | English |
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Cham
Springer International Publishing
2018, 2018
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| Edition: | 1st ed. 2018 |
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| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
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