TITLE "Means by group and time for learning outcome".

Means by group and time for learning outcome

SUMMARIZE
  /TABLES = outcome BY group BY time
  /FORMAT = NOLIST TOTAL
  /CELLS = COUNT MEAN SEMEAN MIN MAX.

Summarize

Notes
Output Created		25-JUN-2013 14:43:32
Comments
Input	Data	F:\13_ICPSR\Download\SPSS\Example1.sav
	Active Dataset	example1
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	100
Missing Value Handling	Definition of Missing	For each dependent variable in a table, user-defined missing values for the dependent and all grouping variables are treated as missing.
Missing Value Handling	Cases Used	Cases used for each table have no missing values in any independent variable, and not all dependent variables have missing values.
Syntax		SUMMARIZE /TABLES = outcome BY group BY time /FORMAT = NOLIST TOTAL /CELLS = COUNT MEAN SEMEAN MIN MAX.
Resources	Processor Time	00:00:00.03
Resources	Elapsed Time	00:00:00.03

[example1] F:\13_ICPSR\Download\SPSS\Example1.sav

Case Processing Summary
	Cases
	Included		Excluded		Total
	N	Percent	N	Percent	N	Percent
Learning Outcome * Treatment Group (1=control, 2=treatment) * Time (1=pre-test 2=post-test)	100	100.0%	0	0.0%	100	100.0%

Report

Learning Outcome

Treatment Group (1=control, 2=treatment)

Time (1=pre-test 2=post-test)

Mean

Std. Error of Mean

Minimum

Maximum

49.0768

1.13706

37.53

59.55

54.8992

1.12565

44.56

67.11

Total

51.9880

.89437

37.53

67.11

50.7587

.90708

40.53

62.13

58.6236

.98648

47.43

68.62

Total

54.6912

.86915

40.53

68.62

Total

49.9178

.72977

37.53

62.13

56.7614

.78702

44.56

68.62

Total

100

53.3396

.63510

37.53

68.62

TITLE.

TITLE "SPSS Between-Person Empty Means Model via MIXED".

SPSS Between-Person Empty Means Model via MIXED

MIXED outcome BY PersonID time
/METHOD = REML
/PRINT = SOLUTION TESTCOV R
/FIXED =
/REPEATED = time | SUBJECT(PersonID) COVTYPE(ID).

Mixed Model Analysis

Notes
Output Created		25-JUN-2013 14:43:32
Comments
Input	Data	F:\13_ICPSR\Download\SPSS\Example1.sav
	Active Dataset	example1
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	100
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
Missing Value Handling	Cases Used	Statistics are based on all cases with valid data for all variables in the model.
Syntax		MIXED outcome BY PersonID time /METHOD = REML /PRINT = SOLUTION TESTCOV R /FIXED = /REPEATED = time \| SUBJECT(PersonID) COVTYPE(ID).
Resources	Processor Time	00:00:00.00
Resources	Elapsed Time	00:00:00.02

[example1] F:\13_ICPSR\Download\SPSS\Example1.sav

Warnings

A(n) FIXED subcommand has no specifications and will therefore be ignored.

Model Dimension^a
		Number of Levels	Covariance Structure	Number of Parameters	Subject Variables	Number of Subjects
Fixed Effects	Intercept	1		1
Repeated Effects	time	2	Identity	1	PersonID	50
Total		3		2
a. Dependent Variable: Learning Outcome.

Information Criteria^a
-2 Restricted Log Likelihood	651.580
Akaike's Information Criterion (AIC)	653.580
Hurvich and Tsai's Criterion (AICC)	653.622
Bozdogan's Criterion (CAIC)	657.176
Schwarz's Bayesian Criterion (BIC)	656.176
The information criteria are displayed in smaller-is-better forms.
a. Dependent Variable: Learning Outcome.

Fixed Effects

Type III Tests of Fixed Effects^a
Source	Numerator df	Denominator df	F	Sig.
Intercept	1	99	7053.654	.000
a. Dependent Variable: Learning Outcome.

Estimates of Fixed Effects^a
Parameter	Estimate	Std. Error	df	t	Sig.	95% Confidence Interval
						Lower Bound	Upper Bound
Intercept	53.339583	.635101	99	83.986	.000	52.079405	54.599760
a. Dependent Variable: Learning Outcome.

Covariance Parameters

Estimates of Covariance Parameters^a
Parameter		Estimate	Std. Error	Wald Z	Sig.	95% Confidence Interval
						Lower Bound	Upper Bound
Repeated Measures	Variance	40.335282	5.733007	7.036	.000	30.528157	53.292933
a. Dependent Variable: Learning Outcome.

Residual Covariance (R) Matrix^a
	[time = 1]	[time = 2]
[time = 1]	40.335282	0
[time = 2]	0	40.335282
Identity
a. Dependent Variable: Learning Outcome.

TITLE.

TITLE "SPSS Within-Person Empty Means Model via MIXED".

SPSS Within-Person Empty Means Model via MIXED

MIXED outcome BY PersonID time
/METHOD = REML
/PRINT = SOLUTION TESTCOV R
/FIXED =
/REPEATED = time | SUBJECT(PersonID) COVTYPE(CS).

Mixed Model Analysis

Notes
Output Created		25-JUN-2013 14:43:32
Comments
Input	Data	F:\13_ICPSR\Download\SPSS\Example1.sav
	Active Dataset	example1
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	100
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
Missing Value Handling	Cases Used	Statistics are based on all cases with valid data for all variables in the model.
Syntax		MIXED outcome BY PersonID time /METHOD = REML /PRINT = SOLUTION TESTCOV R /FIXED = /REPEATED = time \| SUBJECT(PersonID) COVTYPE(CS).
Resources	Processor Time	00:00:00.00
Resources	Elapsed Time	00:00:00.02

[example1] F:\13_ICPSR\Download\SPSS\Example1.sav

Warnings

A(n) FIXED subcommand has no specifications and will therefore be ignored.

Model Dimension^a
		Number of Levels	Covariance Structure	Number of Parameters	Subject Variables	Number of Subjects
Fixed Effects	Intercept	1		1
Repeated Effects	time	2	Compound Symmetry	2	PersonID	50
Total		3		3
a. Dependent Variable: Learning Outcome.

Information Criteria^a
-2 Restricted Log Likelihood	646.809
Akaike's Information Criterion (AIC)	650.809
Hurvich and Tsai's Criterion (AICC)	650.934
Bozdogan's Criterion (CAIC)	658.000
Schwarz's Bayesian Criterion (BIC)	656.000
The information criteria are displayed in smaller-is-better forms.
a. Dependent Variable: Learning Outcome.

Fixed Effects

Type III Tests of Fixed Effects^a
Source	Numerator df	Denominator df	F	Sig.
Intercept	1	49.000	5397.495	.000
a. Dependent Variable: Learning Outcome.

Estimates of Fixed Effects^a
Parameter	Estimate	Std. Error	df	t	Sig.	95% Confidence Interval
						Lower Bound	Upper Bound
Intercept	53.339583	.726028	49.000	73.468	.000	51.880575	54.798591
a. Dependent Variable: Learning Outcome.

Covariance Parameters

Estimates of Covariance Parameters^a
Parameter		Estimate	Std. Error	Wald Z	Sig.	95% Confidence Interval
						Lower Bound	Upper Bound
Repeated Measures	CS diagonal offset	28.206400	5.641280	5.000	.000	19.059318	41.743414
	CS covariance	12.252647	6.025635	2.033	.042	.442618	24.062675
a. Dependent Variable: Learning Outcome.

Residual Covariance (R) Matrix^a
	[time = 1]	[time = 2]
[time = 1]	40.459046	12.252647
[time = 2]	12.252647	40.459046
Compound Symmetry
a. Dependent Variable: Learning Outcome.

TITLE.

TITLE "SPSS Between-Person Conditional Model via MIXED".

SPSS Between-Person Conditional Model via MIXED

MIXED outcome BY PersonID time WITH time1 treat
/METHOD = REML
/PRINT = SOLUTION TESTCOV R
/FIXED = time1 treat time1*treat
/REPEATED = time | SUBJECT(PersonID) COVTYPE(ID)
/TEST "Mean: Control Group at Pre-Test"    intercept 1 time1 0 treat 0 time1*treat 0
/TEST "Mean: Control Group at Post-Test"   intercept 1 time1 1 treat 0 time1*treat 0
/TEST "Mean: Treatment Group at Pre-Test" intercept 1 time1 0 treat 1 time1*treat 0
/TEST "Mean: Treatment Group at Post-Test" intercept 1 time1 1 treat 1 time1*treat 1
/TEST "Time Effect for Control Group"     time1 1 time1*treat 0
/TEST "Time Effect for Treatment Group"   time1 1 time1*treat 1
/TEST "Group Effect at Pre-Test"         treat 1 time1*treat 0
/TEST "Group Effect at Post-Test"        treat 1 time1*treat 1.

Mixed Model Analysis

Notes
Output Created		25-JUN-2013 14:43:32
Comments
Input	Data	F:\13_ICPSR\Download\SPSS\Example1.sav
	Active Dataset	example1
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	100
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
Missing Value Handling	Cases Used	Statistics are based on all cases with valid data for all variables in the model.
Syntax		MIXED outcome BY PersonID time WITH time1 treat /METHOD = REML /PRINT = SOLUTION TESTCOV R /FIXED = time1 treat time1treat /REPEATED = time \| SUBJECT(PersonID) COVTYPE(ID) /TEST "Mean: Control Group at Pre-Test" intercept 1 time1 0 treat 0 time1treat 0 /TEST "Mean: Control Group at Post-Test" intercept 1 time1 1 treat 0 time1treat 0 /TEST "Mean: Treatment Group at Pre-Test" intercept 1 time1 0 treat 1 time1treat 0 /TEST "Mean: Treatment Group at Post-Test" intercept 1 time1 1 treat 1 time1treat 1 /TEST "Time Effect for Control Group" time1 1 time1treat 0 /TEST "Time Effect for Treatment Group" time1 1 time1treat 1 /TEST "Group Effect at Pre-Test" treat 1 time1treat 0 /TEST "Group Effect at Post-Test" treat 1 time1*treat 1.
Resources	Processor Time	00:00:00.03
Resources	Elapsed Time	00:00:00.05

[example1] F:\13_ICPSR\Download\SPSS\Example1.sav

Model Dimension^a
		Number of Levels	Covariance Structure	Number of Parameters	Subject Variables	Number of Subjects
Fixed Effects	Intercept	1		1
	time1	1		1
	treat	1		1
	time1 * treat	1		1
Repeated Effects	time	2	Identity	1	PersonID	50
Total		6		5
a. Dependent Variable: Learning Outcome.

Information Criteria^a
-2 Restricted Log Likelihood	602.507
Akaike's Information Criterion (AIC)	604.507
Hurvich and Tsai's Criterion (AICC)	604.550
Bozdogan's Criterion (CAIC)	608.071
Schwarz's Bayesian Criterion (BIC)	607.071
The information criteria are displayed in smaller-is-better forms.
a. Dependent Variable: Learning Outcome.

Fixed Effects

Type III Tests of Fixed Effects^a
Source	Numerator df	Denominator df	F	Sig.
Intercept	1	96	2211.730	.000
time1	1	96	15.565	.000
treat	1	96	1.299	.257
time1 * treat	1	96	.958	.330
a. Dependent Variable: Learning Outcome.

Estimates of Fixed Effects^a
Parameter	Estimate	Std. Error	df	t	Sig.	95% Confidence Interval
Parameter	Estimate	Std. Error	df	t	Sig.	Lower Bound	Upper Bound
Intercept	49.076798	1.043542	96	47.029	.000	47.005382	51.148213
time1	5.822365	1.475792	96	3.945	.000	2.892941	8.751789
treat	1.681942	1.475792	96	1.140	.257	-1.247482	4.611366
time1 * treat	2.042527	2.087085	96	.979	.330	-2.100304	6.185358
a. Dependent Variable: Learning Outcome.

Covariance Parameters

Estimates of Covariance Parameters^a
Parameter		Estimate	Std. Error	Wald Z	Sig.	95% Confidence Interval
						Lower Bound	Upper Bound
Repeated Measures	Variance	27.224523	3.929521	6.928	.000	20.516342	36.126064
a. Dependent Variable: Learning Outcome.

Residual Covariance (R) Matrix^a
	[time = 1]	[time = 2]
[time = 1]	27.224523	0
[time = 2]	0	27.224523
Identity
a. Dependent Variable: Learning Outcome.

Custom Hypothesis Test 1 (Mean: Control Group at Pre-Test)

Contrast Estimates^a,b
Contrast	Estimate	Std. Error	df	Test Value	t	Sig.	95% Confidence Interval
							Lower Bound	Upper Bound
L1	49.076798	1.043542	96	0	47.029	.000	47.005382	51.148213
a. Mean: Control Group at Pre-Test
b. Dependent Variable: Learning Outcome.

Custom Hypothesis Test 2 (Mean: Control Group at Post-Test)

Contrast Estimates^a,b
Contrast	Estimate	Std. Error	df	Test Value	t	Sig.	95% Confidence Interval
							Lower Bound	Upper Bound
L1	54.899163	1.043542	96	0	52.608	.000	52.827747	56.970578
a. Mean: Control Group at Post-Test
b. Dependent Variable: Learning Outcome.

Custom Hypothesis Test 3 (Mean: Treatment Group at Pre-Test)

Contrast Estimates^a,b
Contrast	Estimate	Std. Error	df	Test Value	t	Sig.	95% Confidence Interval
							Lower Bound	Upper Bound
L1	50.758740	1.043542	96	0	48.641	.000	48.687324	52.830155
a. Mean: Treatment Group at Pre-Test
b. Dependent Variable: Learning Outcome.

Custom Hypothesis Test 4 (Mean: Treatment Group at Post-Test)

Contrast Estimates^a,b
Contrast	Estimate	Std. Error	df	Test Value	t	Sig.	95% Confidence Interval
							Lower Bound	Upper Bound
L1	58.623631	1.043542	96	0	56.178	.000	56.552216	60.695047
a. Mean: Treatment Group at Post-Test
b. Dependent Variable: Learning Outcome.

Custom Hypothesis Test 5 (Time Effect for Control Group)

Contrast Estimates^a,b
Contrast	Estimate	Std. Error	df	Test Value	t	Sig.	95% Confidence Interval
							Lower Bound	Upper Bound
L1	5.822365	1.475792	96	0	3.945	.000	2.892941	8.751789
a. Time Effect for Control Group
b. Dependent Variable: Learning Outcome.

Custom Hypothesis Test 6 (Time Effect for Treatment Group)

Contrast Estimates^a,b
Contrast	Estimate	Std. Error	df	Test Value	t	Sig.	95% Confidence Interval
							Lower Bound	Upper Bound
L1	7.864892	1.475792	96	0	5.329	.000	4.935468	10.794316
a. Time Effect for Treatment Group
b. Dependent Variable: Learning Outcome.

Custom Hypothesis Test 7 (Group Effect at Pre-Test)

Contrast Estimates^a,b
Contrast	Estimate	Std. Error	df	Test Value	t	Sig.	95% Confidence Interval
							Lower Bound	Upper Bound
L1	1.681942	1.475792	96	0	1.140	.257	-1.247482	4.611366
a. Group Effect at Pre-Test
b. Dependent Variable: Learning Outcome.

Custom Hypothesis Test 8 (Group Effect at Post-Test)

Contrast Estimates^a,b
Contrast	Estimate	Std. Error	df	Test Value	t	Sig.	95% Confidence Interval
							Lower Bound	Upper Bound
L1	3.724468	1.475792	96	0	2.524	.013	.795045	6.653892
a. Group Effect at Post-Test
b. Dependent Variable: Learning Outcome.

TITLE.

TITLE "SPSS Within-Person Conditional Model via MIXED".

SPSS Within-Person Conditional Model via MIXED

MIXED outcome BY PersonID time WITH time1 treat
/METHOD = REML
/PRINT = SOLUTION TESTCOV R
/FIXED = time1 treat time1*treat
/REPEATED = time | SUBJECT(PersonID) COVTYPE(CS)
/TEST "Mean: Control Group at Pre-Test"    intercept 1 time1 0 treat 0 time1*treat 0
/TEST "Mean: Control Group at Post-Test"   intercept 1 time1 1 treat 0 time1*treat 0
/TEST "Mean: Treatment Group at Pre-Test" intercept 1 time1 0 treat 1 time1*treat 0
/TEST "Mean: Treatment Group at Post-Test" intercept 1 time1 1 treat 1 time1*treat 1
/TEST "Time Effect for Control Group"     time1 1 time1*treat 0
/TEST "Time Effect for Treatment Group"   time1 1 time1*treat 1
/TEST "Group Effect at Pre-Test"         treat 1 time1*treat 0
/TEST "Group Effect at Post-Test"        treat 1 time1*treat 1.

Mixed Model Analysis

Notes
Output Created		25-JUN-2013 14:43:32
Comments
Input	Data	F:\13_ICPSR\Download\SPSS\Example1.sav
	Active Dataset	example1
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	100
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
Missing Value Handling	Cases Used	Statistics are based on all cases with valid data for all variables in the model.
Syntax		MIXED outcome BY PersonID time WITH time1 treat /METHOD = REML /PRINT = SOLUTION TESTCOV R /FIXED = time1 treat time1treat /REPEATED = time \| SUBJECT(PersonID) COVTYPE(CS) /TEST "Mean: Control Group at Pre-Test" intercept 1 time1 0 treat 0 time1treat 0 /TEST "Mean: Control Group at Post-Test" intercept 1 time1 1 treat 0 time1treat 0 /TEST "Mean: Treatment Group at Pre-Test" intercept 1 time1 0 treat 1 time1treat 0 /TEST "Mean: Treatment Group at Post-Test" intercept 1 time1 1 treat 1 time1treat 1 /TEST "Time Effect for Control Group" time1 1 time1treat 0 /TEST "Time Effect for Treatment Group" time1 1 time1treat 1 /TEST "Group Effect at Pre-Test" treat 1 time1treat 0 /TEST "Group Effect at Post-Test" treat 1 time1*treat 1.
Resources	Processor Time	00:00:00.02
Resources	Elapsed Time	00:00:00.03

[example1] F:\13_ICPSR\Download\SPSS\Example1.sav

Model Dimension^a
		Number of Levels	Covariance Structure	Number of Parameters	Subject Variables	Number of Subjects
Fixed Effects	Intercept	1		1
	time1	1		1
	treat	1		1
	time1 * treat	1		1
Repeated Effects	time	2	Compound Symmetry	2	PersonID	50
Total		6		6
a. Dependent Variable: Learning Outcome.

Information Criteria^a
-2 Restricted Log Likelihood	544.699
Akaike's Information Criterion (AIC)	548.699
Hurvich and Tsai's Criterion (AICC)	548.828
Bozdogan's Criterion (CAIC)	555.828
Schwarz's Bayesian Criterion (BIC)	553.828
The information criteria are displayed in smaller-is-better forms.
a. Dependent Variable: Learning Outcome.

Fixed Effects

Type III Tests of Fixed Effects^a
Source	Numerator df	Denominator df	F	Sig.
Intercept	1	56.467	2211.730	.000
time1	1	48	95.330	.000
treat	1	56.467	1.299	.259
time1 * treat	1	48	5.866	.019
a. Dependent Variable: Learning Outcome.

Estimates of Fixed Effects^a
Parameter	Estimate	Std. Error	df	t	Sig.	95% Confidence Interval
Parameter	Estimate	Std. Error	df	t	Sig.	Lower Bound	Upper Bound
Intercept	49.076798	1.043542	56.467	47.029	.000	46.986712	51.166883
time1	5.822365	.596328	48	9.764	.000	4.623367	7.021363
treat	1.681942	1.475792	56.467	1.140	.259	-1.273885	4.637769
time1 * treat	2.042527	.843335	48	2.422	.019	.346888	3.738165
a. Dependent Variable: Learning Outcome.

Covariance Parameters

Estimates of Covariance Parameters^a
Parameter		Estimate	Std. Error	Wald Z	Sig.	95% Confidence Interval
						Lower Bound	Upper Bound
Repeated Measures	CS diagonal offset	4.445088	.907350	4.899	.000	2.979405	6.631796
	CS covariance	22.779435	5.123633	4.446	.000	12.737300	32.821571
a. Dependent Variable: Learning Outcome.

Residual Covariance (R) Matrix^a
	[time = 1]	[time = 2]
[time = 1]	27.224523	22.779435
[time = 2]	22.779435	27.224523
Compound Symmetry
a. Dependent Variable: Learning Outcome.

Custom Hypothesis Test 1 (Mean: Control Group at Pre-Test)

Contrast Estimates^a,b
Contrast	Estimate	Std. Error	df	Test Value	t	Sig.	95% Confidence Interval
							Lower Bound	Upper Bound
L1	49.076798	1.043542	56.467	0	47.029	.000	46.986712	51.166883
a. Mean: Control Group at Pre-Test
b. Dependent Variable: Learning Outcome.

Custom Hypothesis Test 2 (Mean: Control Group at Post-Test)

Contrast Estimates^a,b
Contrast	Estimate	Std. Error	df	Test Value	t	Sig.	95% Confidence Interval
							Lower Bound	Upper Bound
L1	54.899163	1.043542	56.467	0	52.608	.000	52.809078	56.989248
a. Mean: Control Group at Post-Test
b. Dependent Variable: Learning Outcome.

Custom Hypothesis Test 3 (Mean: Treatment Group at Pre-Test)

Contrast Estimates^a,b
Contrast	Estimate	Std. Error	df	Test Value	t	Sig.	95% Confidence Interval
							Lower Bound	Upper Bound
L1	50.758740	1.043542	56.467	0	48.641	.000	48.668654	52.848825
a. Mean: Treatment Group at Pre-Test
b. Dependent Variable: Learning Outcome.

Custom Hypothesis Test 4 (Mean: Treatment Group at Post-Test)

Contrast Estimates^a,b
Contrast	Estimate	Std. Error	df	Test Value	t	Sig.	95% Confidence Interval
							Lower Bound	Upper Bound
L1	58.623631	1.043542	56.467	0	56.178	.000	56.533546	60.713717
a. Mean: Treatment Group at Post-Test
b. Dependent Variable: Learning Outcome.

Custom Hypothesis Test 5 (Time Effect for Control Group)

Contrast Estimates^a,b
Contrast	Estimate	Std. Error	df	Test Value	t	Sig.	95% Confidence Interval
							Lower Bound	Upper Bound
L1	5.822365	.596328	48	0	9.764	.000	4.623367	7.021363
a. Time Effect for Control Group
b. Dependent Variable: Learning Outcome.

Custom Hypothesis Test 6 (Time Effect for Treatment Group)

Contrast Estimates^a,b
Contrast	Estimate	Std. Error	df	Test Value	t	Sig.	95% Confidence Interval
							Lower Bound	Upper Bound
L1	7.864892	.596328	48	0	13.189	.000	6.665894	9.063890
a. Time Effect for Treatment Group
b. Dependent Variable: Learning Outcome.

Custom Hypothesis Test 7 (Group Effect at Pre-Test)

Contrast Estimates^a,b
Contrast	Estimate	Std. Error	df	Test Value	t	Sig.	95% Confidence Interval
							Lower Bound	Upper Bound
L1	1.681942	1.475792	56.467	0	1.140	.259	-1.273885	4.637769
a. Group Effect at Pre-Test
b. Dependent Variable: Learning Outcome.

Custom Hypothesis Test 8 (Group Effect at Post-Test)

Contrast Estimates^a,b
Contrast	Estimate	Std. Error	df	Test Value	t	Sig.	95% Confidence Interval
							Lower Bound	Upper Bound
L1	3.724468	1.475792	56.467	0	2.524	.014	.768641	6.680296
a. Group Effect at Post-Test
b. Dependent Variable: Learning Outcome.

TITLE.

p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}Summarize

p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}Mixed Model Analysis

p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}Fixed Effects

p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}Covariance Parameters

p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}Mixed Model Analysis

p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}Fixed Effects

p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}Covariance Parameters

p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}Mixed Model Analysis

p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}Fixed Effects

p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}Covariance Parameters

p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}Custom Hypothesis Test 1 (Mean: Control Group at Pre-Test)

p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}Custom Hypothesis Test 2 (Mean: Control Group at Post-Test)

p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}Custom Hypothesis Test 3 (Mean: Treatment Group at Pre-Test)

p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}Custom Hypothesis Test 4 (Mean: Treatment Group at Post-Test)

p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}Custom Hypothesis Test 5 (Time Effect for Control Group)

p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}Custom Hypothesis Test 6 (Time Effect for Treatment Group)

p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}Custom Hypothesis Test 7 (Group Effect at Pre-Test)

p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}Custom Hypothesis Test 8 (Group Effect at Post-Test)

p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}Mixed Model Analysis

p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}Fixed Effects

p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}Covariance Parameters

p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}Custom Hypothesis Test 1 (Mean: Control Group at Pre-Test)

p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}Custom Hypothesis Test 2 (Mean: Control Group at Post-Test)

p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}Custom Hypothesis Test 3 (Mean: Treatment Group at Pre-Test)

p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}Custom Hypothesis Test 4 (Mean: Treatment Group at Post-Test)

p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}Custom Hypothesis Test 5 (Time Effect for Control Group)

p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}Custom Hypothesis Test 6 (Time Effect for Treatment Group)

p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}Custom Hypothesis Test 7 (Group Effect at Pre-Test)

p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}Custom Hypothesis Test 8 (Group Effect at Post-Test)

Summarize

Mixed Model Analysis

Fixed Effects

Covariance Parameters

Mixed Model Analysis

Fixed Effects

Covariance Parameters

Mixed Model Analysis

Fixed Effects

Covariance Parameters

Custom Hypothesis Test 1 (Mean: Control Group at Pre-Test)

Custom Hypothesis Test 2 (Mean: Control Group at Post-Test)

Custom Hypothesis Test 3 (Mean: Treatment Group at Pre-Test)

Custom Hypothesis Test 4 (Mean: Treatment Group at Post-Test)

Custom Hypothesis Test 5 (Time Effect for Control Group)

Custom Hypothesis Test 6 (Time Effect for Treatment Group)

Custom Hypothesis Test 7 (Group Effect at Pre-Test)

Custom Hypothesis Test 8 (Group Effect at Post-Test)

Mixed Model Analysis

Fixed Effects

Covariance Parameters

Custom Hypothesis Test 1 (Mean: Control Group at Pre-Test)

Custom Hypothesis Test 2 (Mean: Control Group at Post-Test)

Custom Hypothesis Test 3 (Mean: Treatment Group at Pre-Test)

Custom Hypothesis Test 4 (Mean: Treatment Group at Post-Test)

Custom Hypothesis Test 5 (Time Effect for Control Group)

Custom Hypothesis Test 6 (Time Effect for Treatment Group)

Custom Hypothesis Test 7 (Group Effect at Pre-Test)

Custom Hypothesis Test 8 (Group Effect at Post-Test)