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Simultaneous feedback models with macro-comparative cross-sectional data
Breznau, Nate
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DOI:
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https://doi.org/10.12758/mda.2017.07
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URL:
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https://mda.gesis.org/index.php/mda/article/view/2...
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Weitere URL:
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https://www.ssoar.info/ssoar/bitstream/handle/docu...
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Dokumenttyp:
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Zeitschriftenartikel
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Erscheinungsjahr:
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2018
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Titel einer Zeitschrift oder einer Reihe:
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Methoden, Daten, Analysen : MDA
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Band/Volume:
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12
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Heft/Issue:
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2
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Seitenbereich:
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265-308
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Ort der Veröffentlichung:
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Mannheim
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Verlag:
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GESIS
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ISSN:
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1864-6956 , 2190-4936
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Sprache der Veröffentlichung:
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Englisch
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Einrichtung:
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Außerfakultäre Einrichtungen > MZES - Arbeitsbereich A
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Fachgebiet:
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300 Sozialwissenschaften, Soziologie, Anthropologie
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Abstract:
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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.
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 | Dieser Eintrag ist Teil der Universitätsbibliographie. |
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