Mixed Model

Model Info
Info
Estimate		Linear mixed model fit by REML t-tests use Satterthwaite approximations to degrees of freedom
Call		LDLF ~ 1 + (1 \| Region) + Gender + LDHF
REML Criterion at convergence:		399

Random Components
Groups		Name		SD		Variance
Region		(Intercept)		0.00		0.00
Residual				2.19		4.81
Note. Numer of Obs: 90 , groups: Region , 5

Fixed Effect ANOVA
		Sum of Squares		Num df		Den df		F		p
Gender		6.02		1		87.0		1.25		0.266
LDHF		201.44		1		87.0		41.91		< .001

Fixed Effects Parameter Estimates
Effect		Contrast		Estimate		SE		df		t		p.
(Intercept)		Intercept		1.190		0.7153		87.0		1.66		0.100
Gender1		Male - ( Female, Male )		-0.278		0.2484		87.0		-1.12		0.266
LDHF		LDHF		0.597		0.0923		87.0		6.47		< .001

Simple Effects ANOVA

Simple effects of LDHF
Effect		Moderator Levels		df Num		df Den		F		p
LDHF		Gender at Female		1.00		82.6		37.3		< .001
LDHF		Gender at Male		1.00		82.6		37.3		< .001
Note. Simple effects F-tests are Type III Wald F tests with Kenward-Roger df
Note. No interaction involving the simple effects variables is present in the model. Simple effects are equivalent to main effects

Simple Effects Parameters

Simple effects of LDHF
Effect		Moderator Level		Estimate		SE		t		p
LDHF		Gender at Female		0.597		0.0923		6.47		< .001
LDHF		Gender at Male		0.597		0.0923		6.47		< .001
Note. No interaction involving the simple effects variables is present in the model. Simple effects are equivalent to main effects

Fixed Effects Plots