Export für Ihre Literaturverwaltung

Übernahme per Copy & Paste
Bibtex-Export
Endnote-Export

       

Weiterempfehlen

Bookmark and Share


Understanding time as socio-historical context: analyzing social change within the framework of multilevel analysis

[Forschungsbericht]

Boehle, Mara; Wolf, Christof

Zitationshinweis

Bitte beziehen Sie sich beim Zitieren dieses Dokumentes immer auf folgenden Persistent Identifier (PID):http://nbn-resolving.de/urn:nbn:de:0168-ssoar-315288

Weitere Angaben:
Körperschaftlicher Herausgeber Research Training Group SOCLIFE
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 paper is to overcome these shortcomings by adopting a new approach to social change studies. We describe the application of multilevel analysis with years as contextual units on a step-by-step basis and emphasize the substantive advantages of each model for the study of social change.
Thesaurusschlagwörter social change; multi-level analysis; cross-sectional study; method; research; time
Klassifikation Erhebungstechniken und Analysetechniken der Sozialwissenschaften
Freie Schlagwörter repeated cross-sections; multilevel analysis
Sprache Dokument Englisch
Publikationsjahr 2012
Erscheinungsort Köln
Seitenangabe 29 S.
Schriftenreihe GK SOCLIFE Working Papers Series, 14
Status Veröffentlichungsversion; begutachtet (peer reviewed)
Lizenz Deposit Licence - Keine Weiterverbreitung, keine Bearbeitung
top