Understanding time as socio-historical context: analyzing social change within the framework of multilevel analysis
Abstract: From a methodological and sociological perspective, analyzing social change is best done by using repeated cross-sectional data and by including individual level variables, time, and time-dependent macro variables. Furthermore, interest often focuses on whether the effects of explanatory variables change over time, e.g. the impact of education on one’s social position. We argue that multilevel models with time as context best meet these requirements. However, the methods for applying a multilevel approach to study time-dependent social processes are relatively poorly developed and therefore rarely used. Instead, most social change related analyses of repeated cross-sectional data, such as APC models or changing effect models, include time as an individual level variable and thereby neglect the contextual characteristics of time and changes at the macro level. In contrast, pooled time series analysis does not take account of individuals and micro level effects. Thus, the aim of this
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource, 29 S.
- Sprache
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Englisch
- Anmerkungen
-
Veröffentlichungsversion
begutachtet (peer reviewed)
- Erschienen in
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GK SOCLIFE Working Papers Series ; Bd. 14
- Ereignis
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Veröffentlichung
- (wo)
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Köln
- (wann)
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2012
- Urheber
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Boehle, Mara
Wolf, Christof
- Beteiligte Personen und Organisationen
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Careja, Romana
Research Training Group SOCLIFE
- URN
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urn:nbn:de:0168-ssoar-315288
- Rechteinformation
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Open Access unbekannt; Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:53 MEZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Boehle, Mara
- Wolf, Christof
- Careja, Romana
- Research Training Group SOCLIFE
Entstanden
- 2012
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