Explaining Bias in Membership Numbers
An Empirical Analysis of Noneconomic Interest Groups in Germany
(Sprache: Englisch)
Since noneconomic interest groups are important for a fair and equal interest intermediation process in Western democracies, studying the bias in their membership numbers is crucial to explain the discrepancies in the representation of different interests...
Voraussichtlich lieferbar in 3 Tag(en)
versandkostenfrei
Buch (Kartoniert)
54.99 €
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenlose Rücksendung
- Ratenzahlung möglich
Produktdetails
Produktinformationen zu „Explaining Bias in Membership Numbers “
Klappentext zu „Explaining Bias in Membership Numbers “
Since noneconomic interest groups are important for a fair and equal interest intermediation process in Western democracies, studying the bias in their membership numbers is crucial to explain the discrepancies in the representation of different interests in the political process. This book provides important insights into the determinants of group membership by capturing factors from different analytical levels, establishing an unprecedented analysis of the membership development of noneconomic interest groups in Germany over 29 years.
Inhaltsverzeichnis zu „Explaining Bias in Membership Numbers “
Noneconomic Interest Groups, Membership, and the Question of Bias.- Explaining Interest Group Membership.- The Measurement of Membership.- Analysis of Endogenous and Exogenous Groups.- Implications and Outlook: Group Membership, Mobilization, and Bias.
Autoren-Porträt von Marie Elisabeth Zeidler
Marie Elisabeth Zeidler is a research and teaching fellow at the Department of Social Sciences at Humboldt-Universität zu Berlin, Germany.
Bibliographische Angaben
- Autor: Marie Elisabeth Zeidler
- 2018, 1st ed. 2019, XVII, 231 Seiten, Maße: 14,8 x 21 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3658230916
- ISBN-13: 9783658230913
- Erscheinungsdatum: 02.08.2018
Sprache:
Englisch
Kommentar zu "Explaining Bias in Membership Numbers"
Schreiben Sie einen Kommentar zu "Explaining Bias in Membership Numbers".
Kommentar verfassen