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Analyzing factorial survey data with structural equation models

Bibliographic Data

ID2331080
AuthorsBert Weijters (0000-0002-8590-0088, Ghent University, corresponding author), Eldad Davidov (0000-0002-3396-969X, University of Cologne), Hans Baumgartner (0000-0003-2246-989X, Department of Marketing, Penn State University, University Park, USA)
Year2023
Volume52
Issue4
Pages2050-2082
Publication date2023-11-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSociological Methods & Research (JOURNAL)
Journal identifiersISSN: 0049-1241 • E-ISSN: 1552-8294
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/00491241211043139
OpenAlexW3214828816
LanguageEN
Citations received3
References cited42

In factorial survey designs, respondents evaluate multiple short descriptions of social objects (vignettes) that experimentally vary different levels of attributes of interest. Analytical methods (including individual-level regression analysis and multilevel models) estimate the weights (or utilities) assigned to the levels of the different attributes by participants to arrive at an overall response to the vignettes. In the current paper, we explain how data from factorial surveys can be analyzed in a structural equation modeling framework using an approach called structural equation modeling for within-subject experiments. We review the use of factorial surveys in social science research, discuss typically used methods to analyze factorial survey data, introduce the structural equation modeling for within-subject experiments approach, and present an empirical illustration of the proposed method. We conclude by describing several extensions, providing some practical recommendations, and discussing potential limitations

Econometrics · Factorial · Factorial experiment · Multilevel model · Regression analysis · Statistics · Structural equation modeling · Survey data collection · Computer Science · Cultural Differences and Values · Mathematics · Social and Intergroup Psychology · Social Power and Status Dynamics

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Unique citing works3
Citations per year1,5
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 3

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