30.06.2013 Views

View/Open

View/Open

View/Open

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

Table 22: Eigenvalue and Total Variance Explained<br />

Component<br />

Initial Eigenvalues<br />

Total % of Variance Cumulative %<br />

1 7.462 33.920 33.920<br />

2 4.104 18.657 52.577<br />

3 2.204 10.019 62.596<br />

4 1.499 6.812 69.409<br />

5 .924 4.200 73.608<br />

6 .757 3.443 77.051<br />

7 .597 2.714 79.765<br />

Note: Principal Component Analysis extraction method<br />

Further, the graphical scree plot analysis as in Figure 2 (below) shows only four sharp<br />

slopes (curves) denoting the four distinct factors. This indicates that each scale used in<br />

this research denotes to one unique factor. Finally, consistent with findings in other<br />

studies, the scales used in the present study had a high internal consistency (measure<br />

based on the correlations between different items on the same test) (See Table 23).<br />

Table 23: Reliability Scores<br />

SCALE α VALUE<br />

1 LMX .89<br />

2 AOC .93<br />

3 TI .89<br />

4 Supervisor LMX .89<br />

The rotated component matrix of all the measures is presented in Table 24.<br />

77

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!