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https://doi.org/10.12758/mda.2017.07
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Simultaneous Feedback Models with Macro-Comparative Cross-Sectional Data
[Zeitschriftenartikel]
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... mehr
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 if not desirable using such data. This methodological excursus covers the 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.... weniger
Thesaurusschlagwörter
Umfrageforschung; vergleichende Forschung; Querschnittuntersuchung; Schätzung; Korrelation; Regression
Klassifikation
Erhebungstechniken und Analysetechniken der Sozialwissenschaften
Freie Schlagwörter
simultaneous feedback model; cross-sectional data; macro-comparative research; structural equation modeling; reciprocal causality; Mplus; Stata; R (lavaan)
Sprache Dokument
Englisch
Publikationsjahr
2018
Seitenangabe
S. 265-307
Zeitschriftentitel
Methods, data, analyses : a journal for quantitative methods and survey methodology (mda), 12 (2018) 2
Heftthema
Comparative Survey Analysis: Models, Techniques, and Applications
ISSN
2190-4936
Status
Veröffentlichungsversion; begutachtet (peer reviewed)