Table 2. Testing the effect of participant characteristics and behaviour on the proportion of participants to help at the first opportunity, P(A).
Effect | Estimate | s.e. | z value | p value |
---|---|---|---|---|
intercept | 2.55 | 1.25 | 2.04 | 4.10 × 10−2 |
cost | −0.03 | 0.04 | −0.59 | 0.55 |
gender (male) | 0.49 | 0.18 | 2.78 | 5.49 × 10−3 |
age | −0.02 | 0.01 | −2.54 | 1.10 × 10−2 |
training 1 | −0.01 | 0.12 | −0.10 | 0.92 |
training 2 | −0.43 | 0.17 | −2.53 | 1.14 × 10−2 |
Binomial GLM (logit link function). Response variable: Boolean indicating whether event A occurred. The table shows the estimate, standard error and statistical test results for the explanatory variables in the model. To give an example for interpreting this table: male participants were more likely to help at the first opportunity (increased P(A)) and this effect was unlikely to have arisen by chance (p = 5.49 × 10−3).