5.3 Quantitative Analysis The first step in quantitative analysis was to perform a factor analysis on the initial factors provided. This would help reduce the number of factors and also group similar factors. Similar group of factors can be called with a common name. Factor analysis was performed on 20 variables believed to influence supply chain effectiveness in the retail industry. Table 5.3.1 KMO and Bartlett's TestKaiser-Meyer-Olkin measure of sampling adequacy. .372Bartlett's test of sphericity ca. Chi-square 296.513 df 190Sig. .000The following table shows Eigen values ​​that represent a proportion of the total variance in all variables described by that factor. In the initial eigenvalue section, components having an eigenvalue greater than 1 are considered, and those less than 1 are ignored as they do not contribute significantly to the total variance. So 7 factors contribute to 76% of the total variability of the original factors. Table 5.3.2 Explanation of the total variance Component Initial eigenvalues ​​Rotation Sums of quadratic loadings Total % of variance Cumulative % Total1 4.279 21.397 21.397 3.3652 2.901 14.505 35.902 2.9993 2.4 56 12.280 48.181 3.2124 1.860 9.302 57.483 2.2655 1.521 7.603 65.086 2.5126 1.136 5.679 70.764 1.6087 1.085 5.427 76.191 1.6288 .864 4.320 80.5119 .747 3.734 84.24510 .684 3.421 87.660.864 4.320 80.5119 .747 3.734 84.24510 .684 3.421 .546 2.728 93.42313 .329 1.646 95.06914 .272 1.359 96.42715 .238 1.188 97.61516 .143 .717 98.33217 .132 .660 98.99318 .118 .589 99.58219 .061 .303 99.88520 .023 .115 100.000Extraction method: principal component analysis.a. When the components are correlated, the sums of the squared loadings cannot be added to get... center of paper... in the group less than 1 crore the mean difference is higher and is positive. Therefore, supplier delivery performance is more significant in the sub-100 crore group. In the case of supplier engagement and collaboration, the average difference between the sub-10 crore group and the sub-1 crore group, the average difference it is higher and it is positive. So, the order lead time is more significant in the less than 10 crore group. In the case of purchase order cycle time, the average difference between the less than 100 crore group and the less than 1 crore group, the average difference is higher and is positive. This also applies to the sub 100 crore and 10 crore group. Therefore, PO cycle time is more significant in the sub-100 crore group. Table 5.3.17 Multiple comparisons Part 2