6 | 195 Acknowledgements (Dankwoord) Source: NELLS wave 1 (2009) and wave 2 (2013); N=522 aMultinomial logistic regression analysis; Reference category = continuing sport participation (mostly) in a club setting b+p<0.10; *p<0.05; **p<0.01; ***p<0.001 (two-tailed) cWe examined the influence of each event in a separate analysis (see table C7 to C11), in which we controlled for gender, migration background, age, educational level, and number of sports. We present the merged results from these separate analyses regarding the effects of the life events in chapter 4; see table 4.4) dPresented estimates for the intercepts are B’s instead of Exp(B)’s. Table C8 Continued CONTROLS Female Immigrant Age (wave 1) Educational level (highest) Number of sports (wave 1) Interceptd Minus 2 log likelihood Model chi-square Degrees of freedom Nagelkerke R squared Switching from practising sport (mostly) in a club setting to: 2.438 2.301 1.000 0.961 0.967 -1.166 1309.984 65.747 28 0.127 0.004** 0.003** 0.983 0.416 0.674 0.204 0.000*** Exp(B) Commercial/ alternative settinga sig.b 1.180 1.014 0.987 0.911 0.405 0.606 0.628 0.966 0.436 0.076+ 0.932 0.537 Exp(B) Informal group settinga sig.b Exp(B) 1.506 0.711 1.010 0.947 0.922 -0.847 0.211 0.306 0.532 0.264 0.334 0.358 Individual setting (alone)a sig.b 1.666 1.545 1.000 0.885 0.703 -0.248 0.302 0.318 0.984 0.105 0.025* 0.857 Exp(B Not practising sport at alla sig.b Appendix
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