Research Journal of Social Science & Management - RJSSM - The ...

Table 12 Extraction and Rotation Loadings for Uganda
Component Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings
Total % of Variance Cumulative % Total % of Variance Cumulative %
1 2.888 28.879 28.879 2.357 23.571 23.571
2 1.776 17.764 46.643 1.806 18.060 41.631
3 1.171 11.707 58.350 1.549 15.491 57.123
4 1.039 10.385 68.735 1.161 11.613 68.735
Rwanda had an adjustment in its rotated factors 1, 2 and 3 as shown in Table 13. The adjustment
between the extraction and rotated factor matrices lead to the effect of the percentage of variance
among factors and hence the rotation affects the interpretation of the adjusted factors. However the
rotation maintains the cumulative percentage of variation explained by the extracted components or
factors, but that variation is now spread more evenly over the factors.
Table 13 Extraction and Rotation Loadings for Rwanda
Component Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings
Total % of Variance Cumulative % Total % of Variance Cumulative %
1 1.916 19.162 19.162 1.880 18.803 18.803
2 1.762 17.619 36.781 1.650 16.497 35.299
3 1.221 12.210 48.990 1.369 13.691 48.990
The Rotated Component Matrix
The rotated component matrix contains component loadings which are the correlations between the
variable and the component. Because these were correlations, possible values range from -1 to +1.
Rotated component matrix for Tanzania shows the number of variables such as number of
bedrooms/rooms, literacy, toilet and employment status forms the first component. The second
component/factor is made up of urban-rural status, water supply and electricity. Further the third
component has variables such as age and educational attainment, while the fourth component had
number of own children in HH as shown in Table 14.
Table 14 Rotated Component Matrix for Tanzania
Component
Variables
1 2 3 4
Number of rooms 0.916 0.163 -0.026 0.002
Literacy 0.790 0.252 0.367 0.035
Toilet -0.748 0.205 0.107 -0.024
Employment status 0.673 0.258 -0.062 -0.255
Urban-rural status -0.089 0.822 0.096 -0.091
Water supply -0.264 -0.719 -0.024 -0.002
Electricity -0.535 -0.558 -0.110 0.003
Age -0.094 0.092 -0.834 0.163
Educational attainment -0.092 0.270 0.817 0.090
Number of own children in HH -0.052 -0.062 -0.070 0.966
In Uganda the four components were retained and have the rotated component matrix as shown in
Table 15. The first component had variables such as water supply, electricity and urban-rural status.
Variables which formed the second component were literacy, age and educational attainment. The
third component had the variables such as toilets and number of rooms while the fourth component had
employment status and number of own children in HH.
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