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Survey methodology and missing datat...
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Laaksonen, Seppo.
Survey methodology and missing datatools and techniques for practitioners /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Survey methodology and missing databy Seppo Laaksonen.
Reminder of title:
tools and techniques for practitioners /
Author:
Laaksonen, Seppo.
Published:
Cham :Springer International Publishing :2018.
Description:
xii, 224 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
SurveysMethodology.
Online resource:
http://dx.doi.org/10.1007/978-3-319-79011-4
ISBN:
9783319790114$q(electronic bk.)
Survey methodology and missing datatools and techniques for practitioners /
Laaksonen, Seppo.
Survey methodology and missing data
tools and techniques for practitioners /[electronic resource] :by Seppo Laaksonen. - Cham :Springer International Publishing :2018. - xii, 224 p. :ill., digital ;24 cm.
Introduction -- Concept of survey and key survey terms -- Designing a questionnaire and survey modes -- Sampling principles and missingness mechanisms -- Design effects at sampling phase -- Sampling design data file -- Missingness, its reasons and treatment -- Weighting adjustments due to unit missingness -- Special cases in weighting -- Statistical editing -- Introduction to statistical imputation -- Imputation methods for single variables -- Summary and key tasks of survey data cleaning -- Basic survey data analysis.
This book focuses on quantitative survey methodology, data collection and cleaning methods. Providing starting tools for using and analyzing a file once a survey has been conducted, it addresses fields as diverse as advanced weighting, editing, and imputation, which are not well-covered in corresponding survey books. Moreover, it presents numerous empirical examples from the author's extensive research experience, particularly real data sets from multinational surveys.
ISBN: 9783319790114$q(electronic bk.)
Standard No.: 10.1007/978-3-319-79011-4doiSubjects--Topical Terms:
182595
Surveys
--Methodology.
LC Class. No.: HA31.2 / .L335 2018
Dewey Class. No.: 001.433
Survey methodology and missing datatools and techniques for practitioners /
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tools and techniques for practitioners /
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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.
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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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Mathematics and Statistics (Springer-11649)
based on 0 review(s)
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電子館藏
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000000159875
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1圖書
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EB HA31.2 L111 2018 2018
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1 records • Pages 1 •
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http://dx.doi.org/10.1007/978-3-319-79011-4
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