Table 8.

Results of regression analyses for motivation to lead factors.

Variables	(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)
	AFF-MTL	AFF-MTL	SN-MTL	SN-MTL	NC-MTL	NC-MTL	PS-MTL	PS-MTL
Intercept	−0.51	−0.61	0.46	0.94*	0.20*	−0.37	−0.74*	−0.88**
	(0.58)	(0.61)	(0.30)	(0.36)	(0.55)	(0.47)	(0.35)	(0.29)
Gender	−0.33	−0.16	−0.65***	−0.27	0.40**	0.14	0.58***	0.23
	(0.17)	(0.24)	(0.14)	(0.18)	(0.16)	(0.19)	(0.12)	(0.16)
Age	0.05*	0.05	0.01	−0.02	−0.04	−0.02	0.00	0.02
	(0.03)	(0.03)	(0.01)	(0.01)	(0.02)	(0.02)	(0.02)	(0.01)
Academic degree	−0.70**	−0.71**	−0.42*	−0.11	0.85***	0.47**	0.21*	0.00
	(0.25)	(0.26)	(0.18)	(0.19)	(0.16)	(0.15)	(0.10)	(0.10)
First-gen	0.03	0.04	0.31*	−0.08	−0.21	0.21	−0.17	0.02
	(0.19)	(0.21)	(0.14)	(0.15)	(0.15)	(0.17)	(0.11)	(0.12)
PLE	−0.22	−0.23	−0.12	0.05	0.32*	0.12	0.30**	0.21*
	(0.19)	(0.20)	(0.16)	(0.16)	(0.15)	(0.13)	(0.10)	(0.10)
SSRM		0.15		0.10		−0.20		−0.28
		(0.27)		(0.16)		(0.26)		(0.19)
Gender X SSRM		−0.32		−0.67**		0.64*		0.57*
		(0.34)		(0.23)		(0.30)		(0.24)
FLSA		−0.01		0.07		−0.21		−0.02
		(0.14)		(0.09)		(0.12)		(0.08)
Gender X FLSA		0.10		−0.44***		0.75***		0.28**
		(0.17)		(0.12)		(0.14)		(0.09)
R 2	0.07	0.07	0.14	0.25	0.21	0.43	0.22	0.35
ΔR2		0.00		0.11		0.22		0.13
R2 Adjusted	0.05	0.03	0.11	0.22	0.19	0.41	0.20	0.32
F	3.01*	2.12*	9.20***	7.08***	15.83***	27.08***	14.23***	20.24***

N = 248; robust standard errors in parentheses; The baseline for ΔR2 is established by Model 1, Model 3, Model 5, and Model 7, respectively. Gender was coded as 1 = female, 0 = male; Academic degree (1 = yes, 0 = no); First-gen = first-generation college student (1 = yes, 0 = no); PLE = past leadership experience (1 = yes, 0 = no); SSRM = same-sex role model (1 = yes, 0 = no); FLSA = female leadership strength awareness; AFF-MTL = affective-identity motivation to lead; SN-MTL = social normative motivation to lead; NC-MTL = non-calculative motivation to lead; PS-MTL = prosocial motivation to lead. *p < 0.05, **p < 0.01, ***p < 0.001.