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A Move Forward: Exploring National Identity Through Non-linear Principal Component Analysis in Germany
[Zeitschriftenartikel]
Abstract In research on national identity, scholars have developed a wide variety of approaches to measure and better understand this ubiquitous yet complex concept. To date, most of these approaches have been theory-driven, while only a very few have been data-driven. In this article, we aim to contribute t... mehr
In research on national identity, scholars have developed a wide variety of approaches to measure and better understand this ubiquitous yet complex concept. To date, most of these approaches have been theory-driven, while only a very few have been data-driven. In this article, we aim to contribute to the latter by introducing a new data-driven method that has not been applied yet - that of non-linear principal component analysis (NLPCA). In contrast to other commonly used methods such as factor analysis, NLPCA distinguishes itself by making relatively few assumptions about the data and by allowing for greater flexibility when discovering underlying dimensions of such a complex concept as national identity. Drawing on the 2013 ISSP National Identity module, our analysis focuses on the case of Germany, also taking into account Western and Eastern Germany. Running an NLPCA, we find four dimensions that cover the multidimensionality of national identity: nationalistic attitudes, national pride and attachment, cosmopolitan beliefs, and membership criteria defining national belonging. This article contributes to the empirical debate on measuring national identity by suggesting a new and flexible methodological approach that better grasps the concept's complexity and which we believe can move empirical research on national identity forward in and beyond Germany.... weniger
Thesaurusschlagwörter
ISSP; Bundesrepublik Deutschland; nationale Identität; Maßnahme; alte Bundesländer; neue Bundesländer; politische Einstellung
Klassifikation
Erhebungstechniken und Analysetechniken der Sozialwissenschaften
politische Willensbildung, politische Soziologie, politische Kultur
Freie Schlagwörter
non-linear principal component analysis; ISSP 2013
Sprache Dokument
Englisch
Publikationsjahr
2023
Seitenangabe
S. 885-903
Zeitschriftentitel
Quality & Quantity, 57 (2023) 1
DOI
https://doi.org/10.1007/s11135-022-01398-6
ISSN
1573-7845
Status
Veröffentlichungsversion; begutachtet (peer reviewed)