Results

Descriptives

Descriptives
	group	A	B
N	young	15	15
	old	5	5
Mean	young	-0.2572	0.6931
	old	0.7287	1.5639

Repeated Measures ANOVA

Within Subjects Effects
	Sum of Squares	df	Mean Square	F	p
Condition	5.9775	1	5.9775	11.0490	0.004
Condition ✻ group	0.0248	1	0.0248	0.0459	0.833
Residual	9.7380	18	0.5410
Note. Type 3 Sums of Squares

Between Subjects Effects
	Sum of Squares	df	Mean Square	F	p
group	6.4633	1	6.4633	2.0704	0.167
Residual	56.1913	18	3.1217
Note. Type 3 Sums of Squares

Post Hoc Tests

Post Hoc Comparisons - Condition ✻ group
Comparison
Condition	group		Condition	group	Mean Difference	SE	df	t	p
A	young	-	A	old	-0.9859	0.6988	24.0569	-1.4107	0.171
		-	B	young	-0.9503	0.2686	18.0000	-3.5382	0.002
		-	B	old	-1.8211	0.6988	24.0569	-2.6059	0.015
	old	-	B	young	0.0356	0.6988	24.0569	0.0509	0.960
		-	B	old	-0.8352	0.4652	18.0000	-1.7954	0.089
B	young	-	B	old	-0.8708	0.6988	24.0569	-1.2460	0.225

Estimated Marginal Means

Condition

Estimated Marginal Means - Condition
			95% Confidence Interval
Condition	Mean	SE	Lower	Upper
A	0.0037	0.3100	-0.6336	0.6410
B	0.8964	0.3100	0.2592	1.5337

group

Estimated Marginal Means - group
			95% Confidence Interval
group	Mean	SE	Lower	Upper
young	-0.0141	0.4267	-0.9106	0.8824
old	0.9142	0.4267	0.0177	1.8108

Condition ✻ group

Estimated Marginal Means - Condition ✻ group
				95% Confidence Interval
group	Condition	Mean	SE	Lower	Upper
young	A	-0.4892	0.4474	-1.4182	0.4397
	B	0.4611	0.4474	-0.4679	1.3900
old	A	0.4966	0.4860	-0.4992	1.4924
	B	1.3318	0.4860	0.3360	2.3276

Mixed Model

Model Info
Info
Estimate		Linear mixed model fit by REML
Call		Y ~ 1 + group2 + cond + group2:cond+( 1 \| sub_id )
AIC		131.7817
BIC		142.3647
LogLikel.		-60.1157
R-squared Marginal		0.1734
R-squared Conditional		0.7558
Converged		yes
Optimizer		bobyqa

Model Results

Fixed Effect Omnibus tests
	F	Num df	Den df	p
group2	2.0704	1	18.0000	0.167
cond	11.0490	1	18.0000	0.004
group2 ✻ cond	0.0459	1	18.0000	0.833
Note. Satterthwaite method for degrees of freedom

Fixed Effects Parameter Estimates
				95% Confidence Interval
Names	Effect	Estimate	SE	Lower	Upper	df	t	p
(Intercept)	(Intercept)	0.6822	0.3226	0.0499	1.3144	18.0000	2.1147	0.049
group21	old - young	0.9283	0.6452	-0.3362	2.1928	18.0000	1.4389	0.167
cond1	B - A	0.8927	0.2686	0.3663	1.4191	18.0000	3.3240	0.004
group21 ✻ cond1	old - young ✻ B - A	-0.1151	0.5372	-1.1679	0.9377	18.0000	-0.2142	0.833

Random Components
Groups	Name	SD	Variance	ICC
sub_id	(Intercept)	1.1359	1.2904	0.7046
Residual		0.7355	0.5410
Note. Number of Obs: 40 , groups: sub_id 20

Estimated Marginal Means

group2
				95% Confidence Interval
group2	Mean	SE	df	Lower	Upper
young	0.2180	0.3226	18.0000	-0.4597	0.8957
old	1.1463	0.5587	18.0000	-0.0275	2.3201
Note. Estimated means are estimated averaging across interacting variables

cond
				95% Confidence Interval
cond	Mean	SE	df	Lower	Upper
A	0.2358	0.3494	24.0569	-0.4853	0.9568
B	1.1285	0.3494	24.0569	0.4075	1.8496
Note. Estimated means are estimated averaging across interacting variables

cond:group2
					95% Confidence Interval
cond	group2	Mean	SE	df	Lower	Upper
A	young	-0.2572	0.3494	24.0569	-0.9782	0.4639
B	young	0.6931	0.3494	24.0569	-0.0279	1.4142
A	old	0.7287	0.6052	24.0569	-0.5202	1.9776
B	old	1.5639	0.6052	24.0569	0.3150	2.8128

Rj Editor

 cond group2 emmean    SE   df lower.CL upper.CL
 A    young  -0.489 0.447 21.5   -1.418     0.44
 B    young   0.461 0.447 21.5   -0.468     1.39
 A    old     0.497 0.486 27.8   -0.499     1.49
 B    old     1.332 0.486 27.8    0.336     2.33

Warning: EMMs are biased unless design is perfectly balanced 
Confidence level used: 0.95

Univariate Type III Repeated-Measures ANOVA Assuming Sphericity

            Sum Sq num Df Error SS den Df F value Pr(>F)   
(Intercept)  13.96      1     56.2     18    4.47 0.0487 * 
group2        6.46      1     56.2     18    2.07 0.1673   
cond          5.98      1      9.7     18   11.05 0.0038 **
group2:cond   0.02      1      9.7     18    0.05 0.8328   
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Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1