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Survey Methodology and Missing Data: Tools and Techniques for Practitioners

Autor Seppo Laaksonen
en Limba Engleză Hardback – 18 iul 2018
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. 
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Specificații

ISBN-13: 9783319790107
ISBN-10: 3319790102
Pagini: 203
Ilustrații: XII, 224 p. 63 illus., 53 illus. in color.
Dimensiuni: 155 x 235 x 24 mm
Greutate: 0.51 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland

Cuprins

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.-  

Notă biografică

Seppo Laaksonen is a professor of statistics at the University of Helsinki, Finland, and has worked at various survey institutes including Statistics Finland, Eurostat and The Finnish Center for Social and Health Research. The former scientific secretary (2001-2003) and vice president of the International Association of Survey Statisticians (2007-2009), he has been a member of the sampling expert team of the European Social Survey since 2001. He has also been involved in a number of European research projects and is a consultant for surveys in Moldova, Ethiopia, Slovenia, the United Kingdom and Hungary.

Textul de pe ultima copertă

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.

Caracteristici

Offers researchers and practitioners a comprehensive introduction to survey methodology Presents survey data collection and cleaning methods Explains new advanced survey methodologies and tools Provides concrete empirical examples from real survey data sets Covers statistical editing, imputation, nonresponse and nonresponse adjustments