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Survey methodology and missing datat...

Laaksonen, Seppo.

Survey methodology and missing datatools and techniques for practitioners /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Survey methodology and missing databy Seppo Laaksonen.
其他題名:	tools and techniques for practitioners /
作者:	Laaksonen, Seppo.
出版者:	Cham :Springer International Publishing :2018.
面頁冊數:	xii, 224 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	SurveysMethodology.
電子資源:	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 datatools 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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300 $a xii, 224 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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.
520 $a 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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