#5423. Detecting faking responses during empirical research: a study in a developing country environment

August 2026publication date
Proposal available till 15-05-2025
4 total number of authors per manuscript0 $

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Journal’s subject area:
Strategy and Management;
Management Science and Operations Research;
Industrial and Manufacturing Engineering;
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Abstract:
Purpose: Several research studies on Lean Six Sigma (LSS) have been done using the survey methodology. However, the use of surveys often relies on the measurement of variables, which cannot be directly observed, with attendant measurement errors. The purpose of this study is to develop a methodological framework consisting of a combination of four tools for identifying and assessing measurement error during survey research. Design/methodology/approach: This paper evaluated the viability of the framework through an experimental study on the assessment of project management success in a developing country environment. The research design combined a control group, pretest and post-test measurements with structural equation modeling that enabled the assessment of differences between honest and fake survey responses. This paper tested for common method variance (CMV) using the chi-square test for the difference between unconstrained and fully constrained models.
Keywords:
Common method variance (CMV); Lean six sigma; Measurement error; Project success; Repeatability and reproducibility; Response faking; Structural equation modeling; Survey research

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