Exploring psychosocial risk factors for dropout in adolescent female soccer

Figures & data

Figure 1. A decision CRT used to identify predictors of dropout.

The CRT shows predictors and combination of predictors associated with the percentage (%) and number (n) of players that had continued within (No) and dropped out of (Yes) their team over the past year.

Table 1. Descriptive statistics and correlations of study variables.

Variable	n	M(SD)		1		2		3		4		5		6		7
1. Competence	518	2.94(0.91)
2. Ego	516	3.25(1.19)		.279***
3. Task	517	4.40(0.60)		.147**		.127**
4. Performance	517	1.58(0.72)		.024		.294***		−.118**
5. Mastery	518	4.21(0.74)		.079		−.116**		.270***		−.563***
6. Age	513	13.42(1.77)		.026		.210***		−.077		.411***		−.367***
7. Other sports	469	0.74(0.78)		.075		−.079		−.097*		.102*		.160***		−.318***
8. Socio economy	508	4.41(0.71)		.05		.05		.13*		−.05		.10*		−.15**		.08

Competence, perceived sport competence; Ego, ego orientation; Task, task orientation, Performance, perceived performance climate; Mastery, perceived mastery climate; Other sports, number of other sports (except soccer); Socio economy, socioeconomic status; *, p < .05; **, p < .01; ***, p < .001.