Minimising Social Desirability Bias in Construction Safety Risk Research

Patrick Xiao Zou, Sheng Xu, Alan Peters, Lieyun Ding, Hanbin Luo

    Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

    Abstract

    Although social desirability bias (SDB) is a threat to non-experimental research method which is widely applied in construction safety risk research, not many of studies looks into how to minimise the effect of SDB in the design and implementation of construction safety risk research. In this paper, we analysed the theoretical basis of SDB from the perspective of psychology, followed by a review of SDB in different applied research fields, the influencing factors, validation scales, and control techniques. Following that, we analysed the nature and characteristics of construction safety risk research, and proposed techniques for minimising SDB, which is focusing on alleviating psychological effects. The techniques proposed in this paper include indirect questions, permissive context, sequencing, confidentiality protection, timing and validation. Examples are provided to demonstrate the use of these techniques. We suggest that the techniques proposed in this paper should also be applicable to construction management research in general.
    Original languageEnglish
    Title of host publicationProceedings of the CIB W099 International Conference on Modelling and Building Health and Safety
    EditorsImelda Krisiani Tjandra, George Ofori, Evelyn Ai-Lin Teo
    Place of PublicationNetherlands
    PublisherIn-house Publishing
    Pages478-487
    Number of pages10
    Volume1
    ISBN (Print)9789810714215
    Publication statusPublished - 2012
    EventCIB W099 International Conference on Modelling and Building Health and Safety - , Singapore
    Duration: 10 Sept 201211 Sept 2012

    Conference

    ConferenceCIB W099 International Conference on Modelling and Building Health and Safety
    Country/TerritorySingapore
    Period10/09/1211/09/12

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