Survey Methodology and Missing Data : Tools and Techniques for Practitioners / Seppo Laaksonen

Von:

Laaksonen, Seppo [VerfasserIn]

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: SpringerLink BücherVerlag: Cham : Springer, [2018]Copyright-Datum: © 2018Beschreibung: Online-Ressource (XII, 224 p. 63 illus., 53 illus. in color, online resource)ISBN:

9783319790114

Schlagwörter:

Andere physische Formen: 9783319790107 | Erscheint auch als: Survey methodology and missing data. Druck-Ausgabe Cham : Springer, 2018DDC-Klassifikation:

519.5 23

RVK: RVK: MR 2000 | QH 244LOC-Klassifikation:

QA276-280

DOI: DOI: 10.1007/978-3-319-79011-4Online-Ressourcen:

Zusammenfassung: 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 surveysZusammenfassung: 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 --PPN: PPN: 1028037937Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SMA | ZDB-2-SXMS

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