Does gender matter? The impact of gender and gender match on the relation between destructive leadership and follower outcomes

Table 3 Regression coefficients from the structural models predicting level at T2, leaders’ gender as moderator

	Standardized Estimate	Unstandardized Estimate	SE	p
Burnout
DL → BOT2	0.316	0.267	0.055	0.000
Leader gender → BOT2	0.027	0.046	0.038	0.478
INT → BOT2	-0.017	-0.029	0.035	0.632
R²	14.6%
Job satisfaction
DL → JST2	-0.276	-0.243	0.046	0.000
Leader gender → JST2	-0.023	-0.041	0.038	0.548
INT → JST2	0.012	0.022	0.042	0.769
R²	9.0%
Work performance
DL → WRPT2	0.039	0.023	0.070	0.580
Leader gender → WRPT2	-0.043	-0.052	0.041	0.290
INT → WRPT2	-0.064	-0.077	0.041	0.120
R²	2.6%
Turnover intentions
DL → TOIT2	0.329	0.368	0.062	0.000
Leader gender → TOIT2	0.020	0.046	0.037	0.596
INT → TOIT2	-0.040	-0.082	0.036	0.260
R²	14.3%

Model, Akaike (AIC) = 77875.134, Bayesian (BIC) = 78943.863,
BOT2 = burnout, TOIT2 = turnover intentions, WRPT2 = work performance, JST2 = job satisfaction, DL = global destructive leadership,
INT = gender as moderator on DL, 0 = male, 1 = female

ISSN: 2050-7283