Table 3

Regression of networking intentions on TPB predictors and results from relative weights analysis (RWA)

VariableOLS regressionRelative weights analysis
Model 1
B (SE)
Model 2
B (SE)
Raw weight95% CI testaRescaled weight
Intercept2.88 (0.40)−0.87 (0.54)   
Gender0.15 (0.20)0.04 (0.16)0.002[-0.02:0.03]1%
Age0.01 (0.01)−0.01 (0.01)0.003[-0.02:0.02]2%
Supervisor position0.31 (0.19)−0.06 (0.16)0.007[-0.01:0.04]1%
TPB predictors
 Attitudes 0.18 (0.12)0.079[0.02:0.15]20%
 Subjective norms 0.32** (0.11)0.098[0.04:0.18]24%
 PBC 0.66** (0.11)0.213[0.12:0.33]53%
R20.020.40**   

Note(s): N = 155. TPB predictors and networking intentions assessed at Waves 1 and 2, respectively. Raw weights refer to variance attributable to a predictor as a decomposition of R2 (i.e. except for rounding errors, raw weights sum up to R2 of model 2). Rescaled weights refer to the percentage of variance attributable to a variable (deviations due to rounding error)

a

Confidence interval refers to Bootstrap (BCa) confidence interval test of significance. If zero is not included, the weight is not significant

**p < 0.01

Source(s): Authors' own work

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