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180802 ||| eng |
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|a 9783319790114
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100 |
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|a Laaksonen, Seppo
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245 |
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|a Survey Methodology and Missing Data
|h Elektronische Ressource
|b Tools and Techniques for Practitioners
|c by Seppo Laaksonen
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250 |
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|a 1st ed. 2018
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260 |
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|a Cham
|b Springer International Publishing
|c 2018, 2018
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300 |
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|a XII, 224 p. 63 illus., 53 illus. in color
|b online resource
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505 |
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|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 --
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653 |
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|a Psychometrics
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653 |
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|a Sociology / Methodology
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653 |
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|a Biostatistics
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653 |
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|a Social sciences / Statistical methods
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653 |
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|a Econometrics
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653 |
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|a Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
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653 |
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|a Biometry
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653 |
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|a Sociological Methods
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041 |
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7 |
|a eng
|2 ISO 639-2
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989 |
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|b Springer
|a Springer eBooks 2005-
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028 |
5 |
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|a 10.1007/978-3-319-79011-4
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856 |
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|u https://doi.org/10.1007/978-3-319-79011-4?nosfx=y
|x Verlag
|3 Volltext
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|a 300.727
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520 |
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|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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