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Bericht zur Datenqualität der GLES: CAPI-Querschnitt 2009, 2013 und 2017 im Vergleich
[working paper]
Corporate Editor
GESIS - Leibniz-Institut für Sozialwissenschaften
Keywords
survey research; cross-sectional study; data capture; data quality; election research; election to the Bundestag; Federal Republic of Germany
Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Free Keywords
German Longitudinal Election Study (GLES)
Document language
German
Publication Year
2020
City
Köln
Page/Pages
46 p.
Series
GESIS Papers, 2020/12
ISSN
2364-3781
Status
Published Version; reviewed