Career coach preferences of medical students: coaching specialist or specialistic coach?

BMC Medical Education

Table 2 Results of path models predicting coach choice

Variables	Model 1												Model 2
	Column 1			Column 2			Column 3			Column 4			Column 5			Column 6			Column 7			Column 8
	Coach choice			Trust			Safety			Understanding			Coaching skills			Career information			Networking possibilities			Coach choice
	B	SE	β	B	SE	β	B	SE	β	B	SE	β	B	SE	β	B	SE	β	B	SE	β	B	SE	β
Occupational background (1 = physician)	0.97*	0.38	.30	-0.27	0.24	-.16	-0.32	0.21	-.21	0.88**	0.19	.48	-0.61**	0.15	-.47	0.46*	0.21	.26	0.85**	0.23	.42	0.58	0.37	.18
Experience with medical students (1 = considerable)	0.54	0.35	.17	0.00	0.18	.00	-0.19	0.17	-.12	-0.10	0.20	-.05	-0.08	0.13	-.06	0.12	0.21	.06	0.05	0.22	.02	0.61	0.36	.19
Occupational background x experience with medical students	-0.58	0.52	-.15	0.22	0.29	.11	0.27	0.26	.15	0.28	0.25	.13	0.26	0.21	.17	-0.02	0.29	-.01	0.16	0.30	.07	-0.86	0.47	-.23
Trust																						-0.26	0.15	-.14
Safety																						0.23	0.16	.11
Understanding																						0.50*	0.22	.28
Coaching skills																						0.55**	0.20	.22
Career information																						0.57**	0.19	.32
Networking possibilities																						0.03	0.15	.02
R²			.06			.02			.02			.33			.14			07			.21			.34

Unstandardized estimates (B), standard errors (SE), standardized coefficients (β) are presented. Column 1 reports results of Model 1, including direct relations between the manipulated variables and their interaction and coach choice. Column 2 until 7 report results of Model 2 including the same relations as Model 1 plus relations between the manipulated variables and their interaction with coach expectations, and relations between coach expectations and coach choice. Both models yielded a perfect fit with the data (Model 1: χ2/df = N/A, p < .001, SRMR = .00, CFI = 1, RMSEA = .00; Model 2: χ2/df = N/A, p < .001, SRMR = .00, CFI = 1, RMSEA = .00)
^*P < .05, **P < .01

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