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Curtailing data biases in business research: Introducing a hybrid approach

Published online by Cambridge University Press:  26 February 2018

Muhammad Aftab Alam  and
Omar Khalid Bhatti
Muhammad Aftab Alam*
Affiliation:
Department of Marketing and Management, Macquarie University, Sydney, NSW, Australia
Omar Khalid Bhatti
Affiliation:
College of Business, Antaliya Bilm University, Antalya, Turkey
*
Corresponding author: m.alam@mq.edu.au
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Abstract

This study elucidates the falsity of business research in relying on either respondents or informants alone for data collection, and argues that with the biased data, business research cannot provide unbiased solutions. We compare 400 reports (200 respondents and 200 informants) on the workplace deviance and assess the goodness of both the techniques. Analysis of variance and posthoc (descriptive discriminant analysis) indicate significant disparities between the two approaches across all items. In the informant’s role, people tend to overreport, whereas in the respondent’s part they underreport an undesirable behavior. Further, we find that conventional techniques for assessing the construct’s validity and common-method bias neither assures realistic measurement nor eliminate the response bias. Drawing on the theory of psychological projection, we propose a hybrid approach that curtails some of the main biases in data and measurement. Qualitative confirmation through informal interviews with managers in the investigated firms validates the proposed method.

Keywords

databiasinformantrespondentmethodresearch
Type
Research Article
Information
Journal of Management & Organization , Volume 28 , Issue 4 , July 2022 , pp. 909 - 923
Copyright
Copyright © Cambridge University Press and Australian and New Zealand Academy of Management 2018

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