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Survey methodology and missing data ...
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SpringerLink (Online service)
Survey methodology and missing data = tools and techniques for practitioners /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Survey methodology and missing data/ by 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:
Surveys - Methodology. -
電子資源:
http://dx.doi.org/10.1007/978-3-319-79011-4
ISBN:
9783319790114
Survey methodology and missing data = tools 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
Standard No.: 10.1007/978-3-319-79011-4doiSubjects--Topical Terms:
595429
Surveys
--Methodology.
LC Class. No.: HA31.2 / .L335 2018
Dewey Class. No.: 001.433
Survey methodology and missing data = 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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