Table 6. Structural equation estimates of predictors’ impact on perceived employee performance

Variables	Model 1		Model 2		Model 3		Model 4
	β	SE	β	SE	β	SE	β	SE
Controls
Gender	–.02	.07	–.02	.06	–.04	.06	–.03	.06
Age	–.06	.11	–.04	.09	–.04	.09	–.05	.09
Marital status	.10	.08	.11	.07	.13*	.07	.13*	.07
Educational level	–.15	.09	–.12	.07	–.12	.07	–.12	.07
Income	.02	.10	.03	.09	.01	.09	.00	.09
Tenure	–.01	.10	.01	.07	.03	.08	.03	.08
Independent
Merit recruitment (R)			.29***	.07	.23**	.07	.23**	.07
Merit selection (S)			.34***	.07	.24**	.07	.22**	.07
Moderator
Diversity mgmt. (D)					.26**	.08	.29**	.09
Interaction
R×D							–.14	.09
S×D							.18*	.08
Model fitness
X2/df	53.433/29		203.621/132		281.175/186		482.988/318
RMSEA	.052		.042		.041		.041
CFI	.930		.950		.945		.924
TLI	.903		.941		.936		.913
SRMS	.35		.051		.052		.055

N=311, β=standardized coefficient,
p<0.05,
p<0.01,
p<0.001.
SE, standard error; RMSEA, root mean square error of approximation; CFI, Comparative Fit Index; TLI, Tucker-Lewis Index; SRMR, standardized root mean square residual.