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One single common factor
| i1 | i2 | i3 | i4 | |
|---|---|---|---|---|
| i1 | 1.00 | 0.64 | 0.64 | 0.64 |
| i2 | 0.64 | 1.00 | 0.64 | 0.64 |
| i3 | 0.64 | 0.64 | 1.00 | 0.64 |
| i4 | 0.64 | 0.64 | 0.64 | 1.00 |
Two uncorrelated common factors
| i1 | i2 | i3 | i4 | |
|---|---|---|---|---|
| i1 | 1.00 | 0.64 | 0.00 | 0.00 |
| i2 | 0.64 | 1.00 | 0.00 | 0.00 |
| i3 | 0.00 | 0.00 | 1.00 | 0.64 |
| i4 | 0.00 | 0.00 | 0.64 | 1.00 |
Two correlated common factors
| i1 | i2 | i3 | i4 | |
|---|---|---|---|---|
| i1 | 1.00 | 0.64 | 0.41 | 0.41 |
| i2 | 0.64 | 1.00 | 0.41 | 0.41 |
| i3 | 0.41 | 0.41 | 1.00 | 0.64 |
| i4 | 0.41 | 0.41 | 0.64 | 1.00 |
In Confirmatory Factor Analysis, relationships among factors may be specified, giving rise to the ability to test higher-order structures. For example, the correlation between specific factors F1 and F2 could be accounted for by a higher-order general factor F.
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