Global Journal of Medical Research, E: Gynecology and Obstetrics, Volume 23 Issue 3

Table 02: Measurement Models’ Findings (Convergent Validity and Internal Consistency Reliability) c) Common Method Variance The researchers conducted Harman’s single- factor test on the questionnaire items to check whether there is any common method variance (CMV). The 30 survey questions were placed onto a single factor. The additional factor was not a component of our study framework; it was just added for analytical purposes and eliminated subsequently. According to Table 01, fewer than 50% (34.56%) of the variance could be explained by a common component, indicating that the items did not contain CMV (Eichhorn, 2014). Along with this, Hong et al. (2023) claimed that if the VIFs results are equal to or lower than 3.3 (see Table 02), then we could recommend that the findings are not affected by the common method bias. The researchers have applied Fornell & Larcker’s (1981) discriminant validity test to measure the relationships or validity among the proposed constructs in this study. The discriminant validity is thoroughly examined by taking into account the square roots of AVE values and the correlations between the components (Chiu & Wang, 2008). The statistics for discriminant validity in table-03 demonstrate that convergent validity and discriminant validity both support the correlations between the components. Global Journal of Management and Business Research ( E ) XXIII Issue III Version I Year 2023 9 © 2023 Global Journals Evaluating the Satisfaction of Passengers towards Metro Rail Services- Bangladesh Perspective