Steep Slope Analysis

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Interpretation The graph 1shows the extraction of the components on the steep slope. The first 5 components are the part of steep slop. The components on the shallow slope contribute little to the solution. The components nine to nineteen are the part of shallow slop. The big drop occurs between the sixth and ninth components, so first 5 components are used for further analysis. The scree plot confirms the choice of six components. Table 5 Component Matrixa Component 1 2 3 4 5 6 7 8 9 Hours .612 -.243 .319 -.152 .105 .341 .142 -.043 -.085 Happy .721 -.052 .265 .000 .118 .155 -.062 -.177 -.272 Work .336 .302 -.156 -.557 .286 .256 -.224 .095 .063 Safety .514 -.198 .343 .305 .162 .259 .041 .275 -.029 Shift .297 -.547 .204 .332 -.101 -.197 -.184 -.092 .368 …show more content…

9 components extracted. InterpretationThis Component matrix indicates how each item in the analysis correlates with each of the five retained factors. Negative and positive correlation carry the same weight. This chart gives you an idea how the items correlate with factors. Table 6 Rotated Component Matrix Component 1 2 3 4 5 6 7 8 9 Hours .777 -.111 .157 .160 .094 .002 .185 -.056 .045 Happy .762 .309 .090 .145 .050 .087 .142 -.033 -.060 Work .132 .011 .084 .846 -.047 .064 -.014 -.041 -.042 Safety .549 -.001 -.146 -.039 .264 .104 .478 -.190 .128 Shift .230 .046 -.026 -.342 .043 -.193 .561 .483 .081 Ideas .233 .161 .148 .085 -.041 -.001 .727 -.043 .158 Support -.009 .064 .035 .588 -.005 .132 -.011 .094 .574 Help .032 .257 .133 -.064 .107 -.018 .151 -.109 .840 Refreshment .032 .255 .151 -.034 .691 .185 .022 -.018 .391 Parking .187 -.025 .047 .023 -.057 .187 .161 -.848 .043 Welfare .210 .239 .740 .056 .015 -.206 -.005 .026 .104 Medical .056 -.043 .734 .345 .116 -.216 .120 -.119 .000 Performance .091 -.043 .014 .008 .826 -.230 -.017 .184 -.053 Bonus .474 -.022 .047 .092 .487 -.129 -.052 .475 -.011 Salaries .642 .227 -.058 .082 .354 -.264 .291 .114 -.005 Fair .186 .629 .148 .604 .225 .051 .108 .149

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