journal article May 31, 2023

ADDRESSING COMMON METHOD BIAS, OPERATIONALIZATION, SAMPLING, AND DATA COLLECTION ISSUES IN QUANTITATIVE RESEARCH: REVIEW AND RECOMMENDATIONS

View at Publisher Save 10.47263/jasem.7(2)01
Abstract
When editing regular and special issues of numerous journals, we have observed several recurring shortcomings in the manuscripts, particularly in relation to methodology. Many of these manuscripts are often found lacking in providing critical methodological information or justifying the use of the selected methods, thus resulting in desk rejection at the preliminary stage or major revision in the review process. Although the theoretical and managerial aspects of manuscripts are essential to publication consideration, methodological flaws can be detrimental. It is therefore of no surprise that failures to address methodological concerns are some of the common reasons for a manuscript to be rejected from publication, even after going through several rounds of revision. The purpose of this editorial is to provide clear guidelines on effectively reporting the methodological section in a quantitative manuscript in the fields of business and social sciences. Specifically, we present a set of recommendations on implementing and reporting operationalization, instrument validation, sampling techniques, questionnaire administration, and common method bias. Researchers, whether students or academics, should consider these guidelines to ensure methodological rigor in their research projects.
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50
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0
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Details
Published
May 31, 2023
Vol/Issue
7(2)
Pages
1-14
Cite This Article
Mumtaz Ali Memon, Ramayah Thurasamy, Jun-Hwa Cheah, et al. (2023). ADDRESSING COMMON METHOD BIAS, OPERATIONALIZATION, SAMPLING, AND DATA COLLECTION ISSUES IN QUANTITATIVE RESEARCH: REVIEW AND RECOMMENDATIONS. Journal of Applied Structural Equation Modeling, 7(2), 1-14. https://doi.org/10.47263/jasem.7(2)01
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