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Correcting for bias using multidimensional measures of Socially Desirable Response

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  • Meyer, Stefan
  • Santos, Paulo

Abstract

We use multidimensional measures of socially desirable response (SDR) to reduce the bias introduced by respondents’ need for approval from interviewer (Impression Management — IM) or to perceive oneself favorably (Self-Deceptive Enhancement — SDE). Using data from a field experiment, we show that (1) SDE explains misreporting of compliance status, (2) controlling for SDE effectively eliminates the bias resulting from using wrongly reported compliance and (3) controlling for IM does not correct for the bias introduced by SDR.

Suggested Citation

  • Meyer, Stefan & Santos, Paulo, 2020. "Correcting for bias using multidimensional measures of Socially Desirable Response," Economics Letters, Elsevier, vol. 196(C).
    • Handle: RePEc:eee:ecolet:v:196:y:2020:i:c:s0165176520303463
    DOI: 10.1016/j.econlet.2020.109574
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    References listed on IDEAS

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    1. Claire M. Hart & Timothy D. Ritchie & Erica G. Hepper & Jochen E. Gebauer, 2015. "The Balanced Inventory of Desirable Responding Short Form (BIDR-16)," SAGE Open, , vol. 5(4), pages 21582440156, December.
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    Cited by:

    1. An Huang & Paulo Santos, 2022. "Improving the reliability and validity of data on Big Five personality traits in developing countries," Monash Economics Working Papers 2022-04, Monash University, Department of Economics.

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    More about this item

    Keywords

    Socially Desirable Response; Impression management; Self-deceptive enhancement; Field experiment; Compliance;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments

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