Model Information	
Data Set	WORK.LONG	
Dependent Variable	score	
Covariance Structure	Compound Symmetry	
Subject Effect	id	
Estimation Method	REML	
Residual Variance Method	Profile	
Fixed Effects SE Method	Model-Based	
Degrees of Freedom Method	Between-Within	

Class Level Information	
Class	Levels	Values	
id	14	1 2 3 4 5 6 7 8 9 10 11 12 13 14	
time	2	POS PRE	
t	4	POSInfant POSMother PREInfant PREMother	
subject	2	Infant Mother	

Dimensions	
Covariance Parameters	2	
Columns in X	9	
Columns in Z	0	
Subjects	14	
Max Obs per Subject	4	

Number of Observations	
Number of Observations Read	56	
Number of Observations Used	56	
Number of Observations Not Used	0	

Iteration History	
Iteration	Evaluations	-2 Res Log Like	Criterion	
0	1	607.94806285		
1	1	592.14426053	0.00000000	

Convergence criteria met.	

Covariance Parameter Estimates	
Cov Parm	Subject	Estimate	
CS	id	2917.87	
Residual		2794.72	

Fit Statistics	
-2 Res Log Likelihood	592.1	
AIC (Smaller is Better)	596.1	
AICC (Smaller is Better)	596.4	
BIC (Smaller is Better)	597.4	

Null Model Likelihood Ratio Test	
DF	Chi-Square	Pr > ChiSq	
1	15.80	<.0001	

Solution for Fixed Effects	
Effect	time	subject	Estimate	Standard Error	DF	t Value	Pr > |t|	
Intercept			158.71	20.2000	13	7.86	<.0001	
time	POS		-140.00	19.9811	13	-7.01	<.0001	
time	PRE		0	.	.	.	.	
subject		Infant	65.0000	19.9811	13	3.25	0.0063	
subject		Mother	0	.	.	.	.	
time*subject	POS	Infant	143.29	28.2576	13	5.07	0.0002	
time*subject	POS	Mother	0	.	.	.	.	
time*subject	PRE	Infant	0	.	.	.	.	
time*subject	PRE	Mother	0	.	.	.	.	

Type 3 Tests of Fixed Effects	
Effect	Num DF	Den DF	F Value	Pr > F	
time	1	13	23.41	0.0003	
subject	1	13	93.53	<.0001	
time*subject	1	13	25.71	0.0002	

Model Information	
Data Set	WORK.LONG	
Dependent Variable	score	
Covariance Structure	Heterogeneous Compound Symmetry	
Subject Effect	id	
Estimation Method	REML	
Residual Variance Method	None	
Fixed Effects SE Method	Model-Based	
Degrees of Freedom Method	Between-Within	

Class Level Information	
Class	Levels	Values	
id	14	1 2 3 4 5 6 7 8 9 10 11 12 13 14	
time	2	POS PRE	
t	4	POSInfant POSMother PREInfant PREMother	
subject	2	Infant Mother	

Dimensions	
Covariance Parameters	5	
Columns in X	9	
Columns in Z	0	
Subjects	14	
Max Obs per Subject	4	

Number of Observations	
Number of Observations Read	56	
Number of Observations Used	56	
Number of Observations Not Used	0	

Iteration History	
Iteration	Evaluations	-2 Res Log Like	Criterion	
0	1	607.94806285		
1	2	562.33230972	0.04974402	
2	1	547.80378714	0.01640988	
3	1	543.19200149	0.00648361	
4	1	541.34325926	0.00273432	
5	1	540.60530097	0.00048128	
6	1	540.48752445	0.00001385	
7	1	540.48438739	0.00000001	
8	1	540.48438494	0.00000000	

Convergence criteria met.	

Covariance Parameter Estimates	
Cov Parm	Subject	Estimate	
Var(1)	id	10125	
Var(2)	id	119.10	
Var(3)	id	7967.38	
Var(4)	id	3932.43	
CSH	id	0.6198	

Fit Statistics	
-2 Res Log Likelihood	540.5	
AIC (Smaller is Better)	550.5	
AICC (Smaller is Better)	551.8	
BIC (Smaller is Better)	553.7	

Null Model Likelihood Ratio Test	
DF	Chi-Square	Pr > ChiSq	
4	67.46	<.0001	

Solution for Fixed Effects	
Effect	time	subject	Estimate	Standard Error	DF	t Value	Pr > |t|	
Intercept			158.71	16.7597	13	9.47	<.0001	
time	POS		-140.00	15.1261	13	-9.26	<.0001	
time	PRE		0	.	.	.	.	
subject		Infant	65.0000	18.8246	13	3.45	0.0043	
subject		Mother	0	.	.	.	.	
time*subject	POS	Infant	143.29	27.8918	13	5.14	0.0002	
time*subject	POS	Mother	0	.	.	.	.	
time*subject	PRE	Infant	0	.	.	.	.	
time*subject	PRE	Mother	0	.	.	.	.	

Type 3 Tests of Fixed Effects	
Effect	Num DF	Den DF	F Value	Pr > F	
time	1	13	27.74	0.0002	
subject	1	13	62.25	<.0001	
time*subject	1	13	26.39	0.0002	

Model Information	
Data Set	WORK.LONG	
Dependent Variable	score	
Covariance Structure	Unstructured	
Subject Effect	id	
Estimation Method	REML	
Residual Variance Method	None	
Fixed Effects SE Method	Model-Based	
Degrees of Freedom Method	Between-Within	

Class Level Information	
Class	Levels	Values	
id	14	1 2 3 4 5 6 7 8 9 10 11 12 13 14	
time	2	POS PRE	
t	4	POSInfant POSMother PREInfant PREMother	
subject	2	Infant Mother	

Dimensions	
Covariance Parameters	10	
Columns in X	9	
Columns in Z	0	
Subjects	14	
Max Obs per Subject	4	

Number of Observations	
Number of Observations Read	56	
Number of Observations Used	56	
Number of Observations Not Used	0	

Iteration History	
Iteration	Evaluations	-2 Res Log Like	Criterion	
0	1	607.94806285		
1	1	522.30975138	0.00000000	

Convergence criteria met.	

Covariance Parameter Estimates	
Cov Parm	Subject	Estimate	
UN(1,1)	id	10028	
UN(2,1)	id	349.23	
UN(2,2)	id	105.91	
UN(3,1)	id	8468.77	
UN(3,2)	id	459.14	
UN(3,3)	id	8645.14	
UN(4,1)	id	3559.00	
UN(4,2)	id	458.53	
UN(4,3)	id	4212.53	
UN(4,4)	id	4070.84	

Fit Statistics	
-2 Res Log Likelihood	522.3	
AIC (Smaller is Better)	542.3	
AICC (Smaller is Better)	547.7	
BIC (Smaller is Better)	548.7	

Null Model Likelihood Ratio Test	
DF	Chi-Square	Pr > ChiSq	
9	85.64	<.0001	

Solution for Fixed Effects	
Effect	time	subject	Estimate	Standard Error	DF	t Value	Pr > |t|	
Intercept			158.71	17.0521	13	9.31	<.0001	
time	POS		-140.00	15.2589	13	-9.17	<.0001	
time	PRE		0	.	.	.	.	
subject		Infant	65.0000	17.5070	13	3.71	0.0026	
subject		Mother	0	.	.	.	.	
time*subject	POS	Infant	143.29	16.7087	13	8.58	<.0001	
time*subject	POS	Mother	0	.	.	.	.	
time*subject	PRE	Infant	0	.	.	.	.	
time*subject	PRE	Mother	0	.	.	.	.	

Type 3 Tests of Fixed Effects	
Effect	Num DF	Den DF	F Value	Pr > F	
time	1	13	43.02	<.0001	
subject	1	13	44.41	<.0001	
time*subject	1	13	73.54	<.0001	

Estimates	
Label	Estimate	Standard Error	DF	t Value	Pr > |t|	Alpha	Lower	Upper	
Mothers: PRE vs POST	-140.00	15.2589	13	-9.17	<.0001	0.05	-172.96	-107.04	
Children: PRE vs POST	3.2857	11.1357	13	0.30	0.7726	0.05	-20.7716	27.3430	
PRE: Mothers vs Children	65.0000	17.5070	13	3.71	0.0026	0.05	27.1785	102.82	
POST: Mothers vs Children	208.29	25.9614	13	8.02	<.0001	0.05	152.20	264.37	

Contrasts	
Label	Num DF	Den DF	F Value	Pr > F	
Mothers: PRE vs POST	1	13	84.18	<.0001	
Children: PRE vs POST	1	13	0.09	0.7726	
PRE: Mothers vs Children	1	13	13.78	0.0026	
POST: Mothers vs Children	1	13	64.37	<.0001	

Least Squares Means	
Effect	time	subject	Estimate	Standard Error	DF	t Value	Pr > |t|	
time*subject	POS	Infant	227.00	26.7641	13	8.48	<.0001	
time*subject	POS	Mother	18.7143	2.7505	13	6.80	<.0001	
time*subject	PRE	Infant	223.71	24.8498	13	9.00	<.0001	
time*subject	PRE	Mother	158.71	17.0521	13	9.31	<.0001	

Model Information	
Data Set	WORK.LONG	
Dependent Variable	score	
Covariance Structure	Variance Components	
Estimation Method	REML	
Residual Variance Method	Profile	
Fixed Effects SE Method	Model-Based	
Degrees of Freedom Method	Containment	

Class Level Information	
Class	Levels	Values	
id	14	1 2 3 4 5 6 7 8 9 10 11 12 13 14	
time	2	POS PRE	
t	4	POSInfant POSMother PREInfant PREMother	
subject	2	Infant Mother	

Dimensions	
Covariance Parameters	3	
Columns in X	9	
Columns in Z	42	
Subjects	1	
Max Obs per Subject	56	

Number of Observations	
Number of Observations Read	56	
Number of Observations Used	56	
Number of Observations Not Used	0	

Iteration History	
Iteration	Evaluations	-2 Res Log Like	Criterion	
0	1	607.94806285		
1	1	580.88648635	0.00000000	

Convergence criteria met.	

Covariance Parameter Estimates	
Cov Parm	Estimate	
id	2144.98	
subject(id)	2318.67	
Residual	1248.94	

Fit Statistics	
-2 Res Log Likelihood	580.9	
AIC (Smaller is Better)	586.9	
AICC (Smaller is Better)	587.4	
BIC (Smaller is Better)	588.8	

Solution for Fixed Effects	
Effect	time	subject	Estimate	Standard Error	DF	t Value	Pr > |t|	
Intercept			158.71	20.2000	13	7.86	<.0001	
time	POS		-140.00	13.3574	26	-10.48	<.0001	
time	PRE		0	.	.	.	.	
subject		Infant	65.0000	22.5756	13	2.88	0.0129	
subject		Mother	0	.	.	.	.	
time*subject	POS	Infant	143.29	18.8902	26	7.59	<.0001	
time*subject	POS	Mother	0	.	.	.	.	
time*subject	PRE	Infant	0	.	.	.	.	
time*subject	PRE	Mother	0	.	.	.	.	

Type 3 Tests of Fixed Effects	
Effect	Num DF	Den DF	F Value	Pr > F	
time	1	26	52.38	<.0001	
subject	1	13	44.41	<.0001	
time*subject	1	26	57.54	<.0001