Validating the Balanced Inventory of Desirable Reporting in a low literacy adolescent population in Burkina Faso

Socially desirable responses to survey questions may be universal, but scales to capture the phenomenon are unvalidated in low-education and resource-limited settings. We therefore conducted a validation of the 16-item Balanced Inventory of Desirable Reporting (BIDR) short form in a two-round health survey of 1291 12-20 year-olds in rural Burkina Faso in 2017 and 2018. Confirmatory factor analysis (CFA) of the scale's designed dimensionality found poor fit (CFI = 0.50, TLI = 0.42, RMSEA = 0.10, SRMR = 0.08). Exploratory factor analysis of Wave 1 data suggested a novel 11-item, 2-factor structure, with all but two of the original scale's Self Deceptive Enhancement items discarded. CFA in Wave 2 using this novel structure gave poor fit indices (CFI = 0.62, TLI = 0.51, RMSEA = 0.10, SRMR = 0.07), test-retest reliability was low (ICC(A,1) = 0.06, Pearson's r = 0.06, R<sup>2</sup> = 0.004) and internal consistency was unsatisfactory (α and ω < 0.70) across waves for both scales. Measurement invariance was confirmed for age but not gender. This failure of BIDR implementation may reflect issues with item translation and delivery, locally appropriate content or use of reverse-coding in a low-education sample. It is possible, but less likely, that it reflects non-universality of the SDR construct. Our work highlights the importance of validating instruments in new study populations.

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Journal
Scientific Reports
Published
2025-11-10
DOI
https://doi.org/10.1038/s41598-025-23145-1
Primary Topic
Psychometric Methodologies and Testing
Type
article
Field-Weighted Citation Impact
0.00

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article

Validating the Balanced Inventory of Desirable Reporting in a low literacy adolescent population in Burkina Faso

Till Bärnighausen, Ali Sié, Mamadou Bountogo, Guy Harling et al.
Scientific Reports
Psychometric Methodologies and Testing
article

Validating the Balanced Inventory of Desirable Reporting in a low literacy adolescent population in Burkina Faso

Till Bärnighausen, Ali Sié, Mamadou Bountogo, Guy Harling, Karolin Kirchgaesser
article en

Abstract

Socially desirable responses to survey questions may be universal, but scales to capture the phenomenon are unvalidated in low-education and resource-limited settings. We therefore conducted a validation of the 16-item Balanced Inventory of Desirable Reporting (BIDR) short form in a two-round health survey of 1291 12-20 year-olds in rural Burkina Faso in 2017 and 2018. Confirmatory factor analysis (CFA) of the scale's designed dimensionality found poor fit (CFI = 0.50, TLI = 0.42, RMSEA = 0.10, SRMR = 0.08). Exploratory factor analysis of Wave 1 data suggested a novel 11-item, 2-factor structure, with all but two of the original scale's Self Deceptive Enhancement items discarded. CFA in Wave 2 using this novel structure gave poor fit indices (CFI = 0.62, TLI = 0.51, RMSEA = 0.10, SRMR = 0.07), test-retest reliability was low (ICC(A,1) = 0.06, Pearson's r = 0.06, R<sup>2</sup> = 0.004) and internal consistency was unsatisfactory (α and ω < 0.70) across waves for both scales. Measurement invariance was confirmed for age but not gender. This failure of BIDR implementation may reflect issues with item translation and delivery, locally appropriate content or use of reverse-coding in a low-education sample. It is possible, but less likely, that it reflects non-universality of the SDR construct. Our work highlights the importance of validating instruments in new study populations.

Scientific ReportsVol. 15(1)
University of the Witwatersrand (ZA), Heidelberg University (DE), University Hospital Heidelberg (DE), Agincourt Health and Socio-Demographic Surveillance System (ZA), Africa Health Research Institute (ZA), Mortimer Market Centre (GB), Harvard Global Health Institute (US), Centre de Recherche en Santé de Nouna (BF), University College London (GB), University of KwaZulu-Natal (ZA)
Alexander von Humboldt-Stiftung, Wellcome Trust, Bundesministerium für Bildung und Forschung
Openalex Percentile: Top 61%
Psychometric Methodologies and Testing
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