IDEAS home Printed from https://ideas.repec.org/a/sae/somere/v52y2023i4p2050-2082.html
   My bibliography  Save this article

Analyzing factorial survey data with structural equation models

Author

Listed:
  • Bert Weijters
  • Eldad Davidov
  • Hans Baumgartner

Abstract

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.

Suggested Citation

  • Bert Weijters & Eldad Davidov & Hans Baumgartner, 2023. "Analyzing factorial survey data with structural equation models," Sociological Methods & Research, , vol. 52(4), pages 2050-2082, November.
    • Handle: RePEc:sae:somere:v:52:y:2023:i:4:p:2050-2082
    DOI: 10.1177/00491241211043139
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/00491241211043139
    Download Restriction: no
    File URL: https://libkey.io/10.1177/00491241211043139?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Guillermina Jasso, 2012. "Safeguarding Justice Research," Sociological Methods & Research, , vol. 41(1), pages 217-239, February.
    2. Dan Su & Peter M. Steiner, 2020. "An Evaluation of Experimental Designs for Constructing Vignette Sets in Factorial Surveys," Sociological Methods & Research, , vol. 49(2), pages 455-497, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Katrin Auspurg & Annette Jäckle, 2017. "First Equals Most Important? Order Effects in Vignette-Based Measurement," Sociological Methods & Research, , vol. 46(3), pages 490-539, August.
    2. Neugebauer, Martin & Daniel, Annabell, 2021. "Higher Education Non-Completion, Employers, and Labor Market Integration: Experimental Evidence," SocArXiv evm74, Center for Open Science.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:somere:v:52:y:2023:i:4:p:2050-2082. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.