Social Desirability Responding: Conceptual Dimensions, Impacts and Challenges in Measurement

Main Article Content

Vinita Kaewkua

Abstract

In research that measures affective domains using self-reports as the primary data collection inventory, self-reports are often found to be either under- or over-reported especially in some matters that are considered sensitive, such as taboo matters, revealing illegal behavior, or expressing antisocial attitudes, etc. The main problem with this inaccurate self-reporting is that social desirability has a serious impact on the validity and reliability of the data. The key components of social desirability responding include impression management and self-deception. Although several social desirability scales exist, such as the Marlowe-Crowne (MC) scale and the Balanced Inventory of Desirable Responding (BIDR), recent meta-research questions the reliability and validity of these scales. It was found that the social desirability score does not explicitly measure bias or specific characteristics, but rather combines both dimensions. Therefore, it is imperative that researchers be aware of this social desirability and employ appropriate techniques to minimize response errors and bias. This article aims to provide readers with knowledge and understanding about social desirability responding in the following topics: 1) Concepts about social desirability responding; 2) The impact of social desirability on data validity and analysis; 3) Empirical evidence of data distortion in various fields; 4) Tools and strategies for measuring and controlling social desirability; 5) The conceptual debate on form versus substance; 6) Researcher limitations in dealing with social desirability; 7) Recommendations for the use of social desirability scales and 8) Challenges in measuring social desirability.

Article Details

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Academic Article

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