IDEAS home Printed from https://ideas.repec.org/a/sae/somere/v50y2021i4p1515-1551.html
   My bibliography  Save this article

Bayesian Two-level Model for Repeated Partially Ordered Responses: Application to Adolescent Smoking Behavior Analysis

Author

Listed:
  • Xiaoqing Wang
  • Haotian Wu
  • Xiangnan Feng
  • Xinyuan Song

Abstract

Given the questionnaire design and the nature of the problem, partially ordered data that are neither completely ordered nor completely unordered are frequently encountered in social, behavioral, and medical studies. However, early developments in partially ordered data analysis are very limited and restricted only to cross-sectional data. In this study, we propose a Bayesian two-level regression model for analyzing repeated partially ordered responses in longitudinal data. The first-level model is defined for partially ordered observations of interest that are taken at each time point nested within individuals, while the second-level model is defined for individuals to assess the effects of their characteristics on the first-level model. A full Bayesian approach with the Markov chain Monte Carlo algorithm is developed for statistical inference. Simulation studies demonstrate the satisfactory performance of the developed methodology. The methodology is then applied to a longitudinal study on adolescent smoking behavior.

Suggested Citation

  • Xiaoqing Wang & Haotian Wu & Xiangnan Feng & Xinyuan Song, 2021. "Bayesian Two-level Model for Repeated Partially Ordered Responses: Application to Adolescent Smoking Behavior Analysis," Sociological Methods & Research, , vol. 50(4), pages 1515-1551, November.
  • Handle: RePEc:sae:somere:v:50:y:2021:i:4:p:1515-1551
    DOI: 10.1177/0049124119826149
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0049124119826149
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0049124119826149?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. Dusenbury, L. & Kerner, J.F. & Baker, E. & Botvin, G. & James-Ortiz, S. & Zauber, A., 1992. "Predictors of smoking prevalence among New York Latino youth," American Journal of Public Health, American Public Health Association, vol. 82(1), pages 55-58.
    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. Capella, Michael L. & Webster, Cynthia & Kinard, Brian R., 2011. "A review of the effect of cigarette advertising," International Journal of Research in Marketing, Elsevier, vol. 28(3), pages 269-279.
    2. Celia Patricia Kaplan & Joan F. Hilton & Sora Park-Tanjasiri & Eliseo J. PÉrez-Stable, 2001. "The Effect of Data Collection Mode on Smoking Attitudes and Behavior in Young African American and Women," Evaluation Review, , vol. 25(4), pages 454-473, August.

    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:50:y:2021:i:4:p:1515-1551. 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.