Table 2. Results of the general linear model testing the combined effects of the eight personal and business characteristics on Queensland commercial fishers’ social resilience score. Only significant variables have been included in the final model.†

Parameter df B SE F p
Intercept 1 4.28 0.29 213.7 <0.0001
Age 1 -0.01 0.005 4.25 0.04
Experience 1 -0.016 0.004 13.18 0.0004
Percentage of income from fishing 1 -0.005 0.004 6.12 0.02
Model statistics: n = 109; F = 16.15; p <0.0001; r²= 0.32
Non-significant variables excluded from the final model were: education level (df = 6; F = 0.65; p = 0.69), household size (df = 1; F = 0.41; p = 0.52), sector (df = 2; F =1.28 ; p = 0.28), target diversity, (df = 1; F = 2.53; p = 0.11), business type (df = 1; F = 0.18; p = 0.67), number of primary vessels operated (df = 1; F = 0.21; p = 0.65); number of family members in the fishing industry (df = 1; F = 3.2; p = 0.08), number of dependent children (df = 1; F = 0.01; p = 0.94), and home ownership (df = 2; F = 0.76; p = 0.46).