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Addressing Common Method Bias, Operationalization, Sampling, and Data Collection Issues in Quantitative Research

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dc.contributor.author Memon, Mumtaz Ali
dc.contributor.author Thurasamy, Ramayah
dc.contributor.author Cheah, Jun-Hwa
dc.contributor.author Ting, Hiram
dc.contributor.author Chuah, Francis
dc.contributor.author Cham, Tat-Huei
dc.date.accessioned 2024-04-23T10:37:53Z
dc.date.available 2024-04-23T10:37:53Z
dc.date.issued 2023-06-20
dc.identifier.issn 2590-4221
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/12106
dc.description.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. en_US
dc.language.iso en_US en_US
dc.publisher Elsevier en_US
dc.subject Manuscripts en_US
dc.subject Social sciences en_US
dc.title Addressing Common Method Bias, Operationalization, Sampling, and Data Collection Issues in Quantitative Research en_US
dc.title.alternative Review and Recommendations en_US
dc.type Article en_US


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