Abstract

Background

Social desirability bias is one of the oldest forms of response bias studied in social sciences. While individuals may feel the need to fake good or bad answers in response to sensitive or intrusive questions, it remains unclear how rampant such a bias is in epidemiological research pertaining to self-reported lifestyle indicators in a multicultural Asian context. The main purpose of the current study is, therefore, to examine the sociodemographic correlates and impact of social desirability responding on self-reported physical activity and dietary habits at an epidemiological scale in a non-western multi-cultural Asian setting.

Methods

Prior to the main analyses, confirmatory and exploratory factor analyses were conducted to determine the factorial validity of a western derived concept of social desirability. Multiple regression analyses were conducted on cross-sectional data (n = 2995) extracted from a nationwide survey conducted between 2019 and 2020.

Results

A unique factor structure of social desirability was found and was therefore used for subsequent analyses. Multiple regression analyses revealed older age groups, the Indian ethnic group, those with past or present marriages, and having no income, had a significantly greater tendency to act on the bias.

Conclusion

The construct of social desirability bias was fundamentally different in a multicultural context than previously understood. Only a small proportion of variance of self-report lifestyle scores was explained by social desirability, thus providing support for data integrity.

Details

Title
Measuring social desirability bias in a multi-ethnic cohort sample: its relationship with self-reported physical activity, dietary habits, and factor structure
Author
Wen Lin Teh; Abdin, Edimansyah; Asharani, P V; Fiona Devi Siva Kumar; Roystonn, Kumarasan; Wang, Peizhi; Shafie, Saleha; Chang, Sherilyn; Jeyagurunathan, Anitha; Janhavi Ajit Vaingankar; Chee Fang Sum; Lee, Eng Sing; van Dam, Rob M; Subramaniam, Mythily
Pages
1-10
Section
Research
Publication year
2023
Publication date
2023
Publisher
BioMed Central
e-ISSN
14712458
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2788466125
Copyright
© 2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.