. 2019 Dec 10;10:2768. doi: 10.3389/fpsyg.2019.02768

TABLE 3.

Hierarchical regression results.

Variables		AC				KSB

		M1	M2	M3	M4	M5	M6	M7	M8	M9	M10	M11
Controls	Age	0.06	0.05	0.04	0.04	0.05	0.03	0.02	0.03	0.03	0.03	0.03
	Gender^a	–0.03	–0.04	–0.02	–0.03	–0.02	–0.01	–0.02	–0.01	–0.02	–0.02	–0.02
	Education^b	0.09	0.08	0.05	0.04	0.12^∗∗	0.07	0.05	0.07	0.07	0.07	0.07
	Tenure	–0.04	–0.03	0.01	0.02	–0.01	–0.01	–0.03	–0.01	–0.01	–0.01	–0.01
IDV^c	LMX		0.33^∗∗	0.24^∗∗	0.27^∗∗		0.27^∗∗	0.06				0.11^∗
Mediator	AC							0.35^∗∗	0.38^∗∗	0.21^∗∗	0.19^∗∗	0.22^∗∗
Moderator	GSE									0.24^∗∗	0.27^∗∗	0.25^∗∗
	ILOC			0.16^∗∗	0.11^∗∗							0.07
Interaction	AC × GSE										0.22^∗∗	0.09
Item	LMX × ILOC				–0.19^∗∗							–0.17^∗∗
	R²	0.02	0.11^∗∗	0.18^∗∗	0.28^∗∗	0.04^∗	0.12^∗∗	0.17^∗∗	0.15^∗∗	0.22^∗∗	0.28^∗∗	0.31^∗∗
	△R²		0.09^∗∗	0.07^∗∗	0.10^∗∗		0.08^∗∗	0.05^∗∗	0.11^∗∗	0.07^∗∗	0.06^∗∗	0.03^∗

N = 231. M represents Model; ^aGender: male = 1, female = 0; ^bEducation: high school or less = 1, bachelor’s degree = 1, master’s degree or higher = 3; ^cIDV, Independent variable; ^∗p < 0.05; ^∗∗p < 0.01.