Table 1.
Characteristics of the two-dimension of the principal component analysis (factorial loading of selected items, eigenvalues, % of variance explained and Cronbach’s alpha values on each dimension are provided), varimax rotation
| List of significants items | Factorial loading of items selected on each dimension | |
|---|---|---|
| Dimension 1 | Dimension 2 | |
| Eigenvalue | Eigenvalue | |
| 3.381 | 1.610 | |
| % of explained variance (37.57 %) | % of explained variance (17.89 %) | |
| Cronbach’s | Cronbach’s | |
| α = 0.78 | α = 0.75 | |
| Owning a motorcycle in the household | 0.663 | |
| Owning a TV in the household | 0.815 | |
| Owning a stereo in the household | 0.775 | |
| Owning a mobile phone in the household | 0.681 | |
| Manufacturing equipment from the floor of the house | 0.783 | |
| Manufacturing equipment from the roof of the house | 0.729 | |
| Owning cattle for commerce in the household | 0.896 | |
| Owning cattle for consumption in the household | 0.875 | |