A Quantitative Approach to Investigating Cognitive Biases in Workplace Decision- Making in Singapore

This paper presents a detailed methodological approach to a quantitative study investigatingheuristics and biases in employee decision-making in Singaporean workplaces. Buildingupon the research gaps identified in a systematic literature review of Ohms (2025b), whichhighlighted the limited focus on non-investment contexts and the Singaporean workplace, thisstudy designs a mono-quantitative cross-sectional survey. The methodology further buildsupon the research framework and hypotheses outlined in a publication of Ohms (2025a). Thestudy then uses these publications to define participant sampling, research instrumentdevelopment, and data analysis. Emphasis is placed on critical data validation steps,including detecting and handling univariate and multivariate outliers, assessing datanormality for Likert scale responses, and evaluating consistency through reliability testing.Also, the paper details the identification and robust treatment of heteroscedasticity inregression analyses by applying HC3 standard errors. Ethical considerations are alsodiscussed. This study aims to guide researchers undertaking similar behavioural economicsand management studies, illustrating a robust approach to ensuring data quality and analyticalrigour in complex social science research.