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

Benjamin Ohms

No 43tg6_v1, SocArXiv from Center for Open Science

Abstract: This paper presents a detailed methodological approach to a quantitative study investigating heuristics and biases in employee decision-making in Singaporean workplaces. Building upon the research gaps identified in a systematic literature review of Ohms (2025b), which highlighted the limited focus on non-investment contexts and the Singaporean workplace, this study designs a mono-quantitative cross-sectional survey. The methodology further builds upon the research framework and hypotheses outlined in a publication of Ohms (2025a). The study then uses these publications to define participant sampling, research instrument development, and data analysis. Emphasis is placed on critical data validation steps, including detecting and handling univariate and multivariate outliers, assessing data normality for Likert scale responses, and evaluating consistency through reliability testing. Also, the paper details the identification and robust treatment of heteroscedasticity in regression analyses by applying HC3 standard errors. Ethical considerations are also discussed. This study aims to guide researchers undertaking similar behavioural economics and management studies, illustrating a robust approach to ensuring data quality and analytical rigour in complex social science research.

Date: 2025-09-05
New Economics Papers: this item is included in nep-sea
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://osf.io/download/68baa606ccb0ffd771a6bfc7/

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:osf:socarx:43tg6_v1

DOI: 10.31219/osf.io/43tg6_v1

Access Statistics for this paper

More papers in SocArXiv from Center for Open Science
Bibliographic data for series maintained by OSF ().