Direct and indirect effects via networking intentions of TPB predictors on networking behaviours
| Direct effects from OLS regression | Indirect effects (X → M → Y) | ||||
|---|---|---|---|---|---|
| Model 1 | Model 2 | Model 3 | |||
| Variable | B (SE) | B (SE) | B (SE) | Estimate | 95% CI |
| Intercept | 3.17 (0.27) | 1.02 (0.36) | 1.24 (0.34) | ||
| Control variables | |||||
| Gender | −0.01 (0.13) | −0.07 (0.11) | −0.08 (0.10) | ||
| Age | −0.01 (0.01) | −0.01 (0.01) | −0.01 (0.01) | ||
| Supervisor position | 0.41 (0.13) ** | 0.15 (0.11) | 0.16 (0.10) | ||
| TPB predictors | |||||
| Attitudes | 0.06 (0.08) | 0.01 (0.07) | 0.04 | [-0.02, 0.12] | |
| Subjective norms | 0.15 (0.08) | 0.07 (0.07) | 0.08* | [0.03, 0.14] | |
| PBC | 0.50** (0.08) | 0.33** (0.08) | 0.17* | [0.08, 0.28] | |
| Networking intentions | 0.25** (0.05) | ||||
| R2 | 0.07* | 0.40** | 0.46** | ||
| Direct effects from OLS regression | Indirect effects (X → | ||||
|---|---|---|---|---|---|
| Model 1 | Model 2 | Model 3 | |||
| Variable | Estimate | 95% CI | |||
| Intercept | 3.17 (0.27) | 1.02 (0.36) | 1.24 (0.34) | ||
| Gender | −0.01 (0.13) | −0.07 (0.11) | −0.08 (0.10) | ||
| Age | −0.01 (0.01) | −0.01 (0.01) | −0.01 (0.01) | ||
| Supervisor position | 0.41 (0.13) ** | 0.15 (0.11) | 0.16 (0.10) | ||
| Attitudes | 0.06 (0.08) | 0.01 (0.07) | 0.04 | [-0.02, 0.12] | |
| Subjective norms | 0.15 (0.08) | 0.07 (0.07) | 0.08* | [0.03, 0.14] | |
| PBC | 0.50** (0.08) | 0.33** (0.08) | 0.17* | [0.08, 0.28] | |
| Networking intentions | 0.25** (0.05) | ||||
| 0.07* | 0.40** | 0.46** | |||
Note(s): N = 155. TPB predictors, networking intentions and networking assessed at Wave 1, Wave 2 and Wave 3, respectively. Indirect or mediating effects estimates are the product of the effect of a TPB predictor on intentions (X→M) and the effect of intentions on networking behaviours (M → Y). Estimates control for other TPB predictors and control variables
*p < 0.05; **p < 0.01
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