Correlation matrix and the discriminant validity
| IMC | CP | MP | FP | |
|---|---|---|---|---|
| IMC | 0.840 | |||
| CP | 0.589 | 0.887 | ||
| MP | 0.489 | 0.773 | 0.876 | |
| FP | 0.485 | 0.709 | 0.731 | 0.892 |
| IMC | CP | MP | FP | |
|---|---|---|---|---|
| IMC | 0.840 | |||
| CP | 0.589 | 0.887 | ||
| MP | 0.489 | 0.773 | 0.876 | |
| FP | 0.485 | 0.709 | 0.731 | 0.892 |
Note(s): IMC = integrated marketing communications, CP = customer performance, MP = market performance, FP = financial performance. Mean, the average score for all items included in this measure, SD= standard deviation. Diagonal elements are the square root of the average variance extracted (AVE) between the constructs and their measures. Off-diagonal elements are correlations between constructs. For discriminant validity, diagonal elements should be larger than off-diagonal
Source(s): Own elaboration
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