Simultaneous feedback models with macro-comparative cross-sectional data


Breznau, Nate


DOI: https://doi.org/10.12758/mda.2017.07
URL: https://mda.gesis.org/index.php/mda/article/view/2...
Additional URL: https://www.ssoar.info/ssoar/bitstream/handle/docu...
Document Type: Article
Year of publication: 2018
The title of a journal, publication series: Methoden, Daten, Analysen : MDA
Volume: 12
Issue number: 2
Page range: 265-308
Place of publication: Mannheim
Publishing house: GESIS
ISSN: 1864-6956 , 2190-4936
Publication language: English
Institution: Außerfakultäre Einrichtungen > Mannheim Centre for European Social Research - Research Department A
Subject: 300 Social sciences, sociology, anthropology
Abstract: Social scientists often work with theories of reciprocal causality. Sometimes theories suggest that reciprocal causes work simultaneously, or work on a time-scale small enough to make them appear simultaneous. Researchers may employ simultaneous feedback models to investigate such theories, although the practice is rare in cross-sectional survey research. This paper discusses the certain conditions that make these models possible and possibly desirable using such data. This methodological excursus covers construction of simultaneous feedback models using a structural equation modeling perspective. This allows the researcher to test if a simultaneous feedback theory fits survey data, test competing hypotheses and engage in macro-comparisons. This paper presents methods in a manner and language amenable to the practicing social scientist who is not a statistician or matrix mathematician. It demonstrates how to run models using three popular software programs (MPlus, Stata and R), and an empirical example using International Social Survey Program data.

Dieser Eintrag ist Teil der Universitätsbibliographie.




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Breznau, Nate (2018) Simultaneous feedback models with macro-comparative cross-sectional data. Methoden, Daten, Analysen : MDA Mannheim 12 2 265-308 [Article]


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