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Computing weights for the German Longitudinal Election Study (GLES) 2009-2013

[working paper]

Gummer, Tobias
Blumenberg, Manuela S.
Vilgis, Constanze

Corporate Editor
GESIS - Leibniz-Institut für Sozialwissenschaften

Keywords
longitudinal study; weighting; panel; data preparation; method; Federal Republic of Germany; election research; data capture

Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods

Document language
English

Publication Year
2017

City
Köln

Page/Pages
51 p.

Series
GESIS Papers, 2017/07

DOI
https://doi.org/10.21241/ssoar.50704

ISSN
2364-3781

Licence
Creative Commons - Attribution-NonCommercial


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© 2007 - 2023 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.