Table 2.
Reliability, Convergent Validity And Discriminant Validity
| Construct | 1 | 2 | 3 | 4 | α | CR | AVE | MSV | ASV |
|---|---|---|---|---|---|---|---|---|---|
| 1. WA | 0.78 | 0.90 | 0.92 | 0.61 | 0.19 | 0.15 | |||
| 2. EE | 0.43 | 0.75 | 0.80 | 0.84 | 0.56 | 0.18 | 0.16 | ||
| 3. EXR | −0.44 | −0.43 | 0.77 | 0.87 | 0.88 | 0.59 | 0.19 | 0.13 | |
| 4. ETT | −0.29 | −0.33 | 0.11 | 0.71 | 0.84 | 0.84 | 0.51 | 0.11 | 0.07 |
Note: n = 225.
Abbreviations: WA, work alienation; EE, emotional exhaustion; EXR, explorative learning; ETT, exploitative learning; MSV, maximum variance shared; ASV, average variance shared; AVE, average variance extracted, Bolded values on the diagonals of columns 2 to 5 are the square root values of AVE; CR, composite reliability; α, Cronbach alpha.