IDEAS home Printed from https://ideas.repec.org/a/taf/jriskr/v13y2010i5p571-589.html
   My bibliography  Save this article

Measurement of risk perceptions in social research: a comparative analysis of ordinary least squares, ordinal and multinomial logistic regression models

Author

Listed:
  • Bryan E. Denham

Abstract

Drawing on data gathered in the 2006 Monitoring the Future study of American youth ( n = 2489), this investigation offers a comparative analysis of ordinary least squares (OLS), ordinal and multinomial logistic regression models in examining the effects of multiple factors on perceptions of alcohol risk. The article addresses limitations of OLS models in risk analyses and demonstrates how scholars can avoid making statistical errors when positioning vague quantifiers as ordinal dependent measures. Substantively, the article finds differential effects for (1) sex, (2) perceived attitudes of peers toward alcohol consumption, (3) frequency of intoxication, (4) teacher efforts toward alcohol education, (5) frequency of communicating with friends, and (6) newspaper exposure, as determinants of alcohol risk perceptions. Through statistical results and visual displays, the article reveals how inferences made about these effects stand to vary depending on the regression method chosen.

Suggested Citation

  • Bryan E. Denham, 2010. "Measurement of risk perceptions in social research: a comparative analysis of ordinary least squares, ordinal and multinomial logistic regression models," Journal of Risk Research, Taylor & Francis Journals, vol. 13(5), pages 571-589, July.
    • Handle: RePEc:taf:jriskr:v:13:y:2010:i:5:p:571-589
    DOI: 10.1080/13669870903172386
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13669870903172386
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/13669870903172386?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sisira S. Withanachchi & Ilia Kunchulia & Giorgi Ghambashidze & Rami Al Sidawi & Teo Urushadze & Angelika Ploeger, 2018. "Farmers’ Perception of Water Quality and Risks in the Mashavera River Basin, Georgia: Analyzing the Vulnerability of the Social-Ecological System through Community Perceptions," Sustainability, MDPI, vol. 10(9), pages 1-26, August.
    2. Jiayin Pei & Guang Yu & Xianyun Tian & Maureen Renee Donnelley, 2017. "A new method for early detection of mass concern about public health issues," Journal of Risk Research, Taylor & Francis Journals, vol. 20(4), pages 516-532, April.
    3. John T. Brady, 2012. "Health risk perceptions across time in the USA," Journal of Risk Research, Taylor & Francis Journals, vol. 15(6), pages 547-563, June.

    More about this item

    Statistics

    Access and download statistics

    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:taf:jriskr:v:13:y:2010:i:5:p:571-589. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RJRR20 .

    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.