5.3 Quantitative AnalysisThe first step of the quantitative analysis was to perform a factor analysis on the given initial factors. This would reduce the number of factors and also group similar factors together. A similar group of factors can be called by a common name. Factor analysis was carried out on 20 variables considered to affect supply chain efficiency in the retail sector. Table 5.3.1 KMO and Bartlett Test Kaiser-Meyer-Olkin measure of sampling adequacy. .372Bartlett's test of sphericity Approx. Chi square 296.513 df 190Sig. .000The following table shows eigenvalues ​​that represent a proportion of the total variance of all variables described by this factor. In the initial eigenvalue section, components with an eigenvalue greater than 1 are considered and those less than 1 are ignored as they do not contribute significantly to the total variance. Thus, 7 factors contribute to 76% of the total variability of the original factors. 6 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 87.66611 .606 3.028 90.69412 .546 2.728 93.42313 .329 1.646 95.06914 .272 1.359 96.42715 .238 1.188 1516 .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 charges cannot be added to get...... middle of paper ...... for the group below 1 crore the mean difference is the highest and is positive. Thus, the delivery performance of suppliers is most significant in the less than 100 crore group. In the case of supplier involvement and collaboration, the average difference between the less than 10 crore group and the group less than 1 crores, the average difference is the highest and is positive. So, the delivery time of orders is highest in the group below 10 crores.  In the case of Purchase Order Cycle Time, the average difference between the group below 100 crores and the group below 1 crores, the average difference is the highest and is positive. This is also true for groups under 100 crore and 10 crore. So the PO cycle time is highest in the sub 100 crore group. Table 5.3.17 Multiple comparisons part 2