Table 4. The results of the general linear model, with quasi-Poisson distribution errors, are given to account for the variance in taking flyers, by profiles, garden variables and the number of activities in which each attendee participated (n = 69).
Variables | Estimate ± S.E | Df | P-value |
Intercept | 0.26±0.56 | 1 | 0.639 |
Gender (Male) | −0.36±0.57 | 1 | 0.466 |
Age | 0.02±0.01 | 1 | 0.015 |
Income | −0.36±0.09 | 1 | <0.001 |
Qualifications | −0.02±0.09 | 1 | 0.818 |
Childhood (City) | 4 | 0.074 | |
Childhood (Town) | −1.06±0.47 | ||
Childhood (Small town) | −1.21±0.63 | ||
Childhood (Village) | −0.32±0.58 | ||
Childhood (Farm) | −0.60±0.73 | ||
Holidays (No relation to nature) | 2 | 0.846 | |
Holidays (open-air) | −0.15±0.44 | ||
Holidays (In natural environment) | −0.26±0.46 | ||
Plants at home (Yes) | 1.24±0.76 | 1 | 0.108 |
Pets at home (Yes) | 0.67±0.29 | 1 | 0.027 |
Interact with nature (Yes) | −0.06±0.35 | 1 | 0.870 |
Children's recreation (Yes) | −0.16±0.37 | 1 | 0.661 |
Number of activities attended | 0.34±0.08 | 1 | <0.001 |
For non-significant variables, coefficients±SE and p-values are presented at the step of exclusion from the model. Adjusted effect size±standard errors, degrees of freedom and p-values for minimal models (all significant terms included), whereas coefficients and p-values of non-significant terms are obtain by fitting each term separately into the minimal model.