Table 1.
Variable | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
---|---|---|---|---|---|---|---|
1. Email demands | − | .68** | .63** | −.15 | −.03 | −.07 | .40** |
2. Job tension | .55** | − | .88** | −.14 | .05 | −.13 | .27** |
3. Work-family conflict | .45** | .78** | − | −.08 | .08 | −.15 | .28** |
4. Trait self-regulation | − | − | − | − | .09 | .08 | −.20* |
5. Age | − | − | − | − | − | -.03 | .00 |
6. Gender | − | − | − | − | − | − | −.35** |
7. Organizational membership | − | − | − | − | − | − | − |
Mean | 3.61 | 3.86 | 3.44 | 5.10 | 45.20 | .50 | .56 |
Standard deviation | 1.30 | 1.59 | 1.71 | 0.64 | 10.03 | .50 | .50 |
ICC (1) | .80 | .91 | .90 | − | − | − | − |
ICC (2) | .95 | .98 | .98 | − | − | − | − |
Listwise n at within-individual level = 701; n at between-individual level = 134; within-individual level correlations are below the diagonal, and between-individual level correlations are above the diagonal. Variables 1 to 3 are aggregated to the individual level in order to compute their between-individual level correlations with other variables; σ2 is the within-individual variance, and τ is the between-individual variance; the intraclass correlation (ICC) is computed as “τ/(τ + σ2).” Gender was coded as follows: female = 0, male = 1. Organizational membership was coded as follows: state agency = 0, global HRM firm = 1
*p < .05. **p < .01; two-tailed