T1_RMANOVA

Log

GLM VAR00001 VAR00002 VAR00003 VAR00004 VAR00005 VAR00006 VAR00007 VAR00008 VAR00009 VAR00010 VAR00011 VAR00012 VAR00013 VAR00014 VAR00015 VAR00016 VAR00017 VAR00018 VAR00019 VAR00020 VAR00021 VAR00022 VAR00023 VAR00024 VAR00025 VAR00026 VAR00027 VAR00028 VAR00029 VAR00030 VAR00031 VAR00032 VAR00033
  /WSFACTOR=method 3 Polynomial speaker 11 Polynomial
  /METHOD=SSTYPE(3)
  /PLOT=PROFILE(method speaker speaker*method)
  /EMMEANS=TABLES(OVERALL)
  /EMMEANS=TABLES(method) COMPARE ADJ(BONFERRONI)
  /EMMEANS=TABLES(speaker) COMPARE ADJ(BONFERRONI)
  /EMMEANS=TABLES(method*speaker)
  /PRINT=DESCRIPTIVE ETASQ
  /CRITERIA=ALPHA(.05)
  /WSDESIGN=method speaker method*speaker.

General Linear Model

Within-Subjects FactorsWithin-Subjects Factors, table, Measure, MEASURE_1, 1 layers, 1 levels of column headers and 2 levels of row headers, table with 3 columns and 36 rows

MEASURE_1

method

speaker

Dependent Variable

1

VAR00001

2

VAR00002

3

VAR00003

4

VAR00004

5

VAR00005

6

VAR00006

7

VAR00007

8

VAR00008

9

VAR00009

10

VAR00010

11

VAR00011

2

1

VAR00012

2

VAR00013

3

VAR00014

4

VAR00015

5

VAR00016

6

VAR00017

7

VAR00018

8

VAR00019

9

VAR00020

10

VAR00021

11

VAR00022

3

1

VAR00023

2

VAR00024

3

VAR00025

4

VAR00026

5

VAR00027

6

VAR00028

7

VAR00029

8

VAR00030

9

VAR00031

10

VAR00032

11

VAR00033

General Linear Model

Descriptive StatisticsDescriptive Statistics, table, 1 levels of column headers and 1 levels of row headers, table with 4 columns and 35 rows
	Mean	Std. Deviation	N
VAR00001	71.9533	10.16787	15
VAR00002	63.8600	10.28180	15
VAR00003	65.0200	11.39688	15
VAR00004	74.4000	12.81807	15
VAR00005	84.8133	6.49878	15
VAR00006	75.5600	8.52164	15
VAR00007	77.8133	7.07217	15
VAR00008	69.3733	8.49954	15
VAR00009	77.2867	12.74592	15
VAR00010	79.8000	6.26738	15
VAR00011	69.3067	12.48682	15
VAR00012	81.6000	12.20345	15
VAR00013	76.3400	12.93107	15
VAR00014	71.8133	13.77798	15
VAR00015	67.2200	12.87990	15
VAR00016	84.1267	8.67916	15
VAR00017	74.1667	10.70552	15
VAR00018	76.8133	12.00386	15
VAR00019	64.2467	12.28081	15
VAR00020	80.8467	14.25762	15
VAR00021	78.6667	12.05545	15
VAR00022	72.9400	15.33976	15
VAR00023	7.0533	5.86623	15
VAR00024	6.6267	5.75009	15
VAR00025	8.7533	7.72620	15
VAR00026	5.9200	5.98858	15
VAR00027	7.8000	6.66065	15
VAR00028	5.3867	5.77258	15
VAR00029	5.8200	6.55038	15
VAR00030	6.2933	5.47742	15
VAR00031	5.5067	5.07901	15
VAR00032	6.6933	7.20847	15
VAR00033	6.2000	6.45855	15

General Linear Model

Multivariate Tests^aMultivariate Tests, table, 1 levels of column headers and 2 levels of row headers, table with 8 columns and 17 rows
Effect		Value	F	Hypothesis df	Error df	Sig.	Partial Eta Squared
method	Pillai's Trace	.985	421.872^b	2.000	13.000	.000	.985
	Wilks' Lambda	.015	421.872^b	2.000	13.000	.000	.985
	Hotelling's Trace	64.903	421.872^b	2.000	13.000	.000	.985
	Roy's Largest Root	64.903	421.872^b	2.000	13.000	.000	.985
speaker	Pillai's Trace	.995	92.580^b	10.000	5.000	.000	.995
	Wilks' Lambda	.005	92.580^b	10.000	5.000	.000	.995
	Hotelling's Trace	185.160	92.580^b	10.000	5.000	.000	.995
	Roy's Largest Root	185.160	92.580^b	10.000	5.000	.000	.995
method * speaker	Pillai's Trace	.^c	.	.	.	.	.
	Wilks' Lambda	.^c	.	.	.	.	.
	Hotelling's Trace	.^c	.	.	.	.	.
	Roy's Largest Root	.^c	.	.	.	.	.
a. Design: Intercept Within Subjects Design: method + speaker + method * speaker
b. Exact statistic
c. Cannot produce multivariate test statistics because of insufficient residual degrees of freedom.

General Linear Model

Mauchly's Test of Sphericity^aMauchly's Test of Sphericity, table, Measure, MEASURE_1, 1 layers, 2 levels of column headers and 1 levels of row headers, table with 8 columns and 10 rows

MEASURE_1

Within Subjects Effect

Mauchly's W

Approx. Chi-Square

df

Sig.

Epsilon^b

Greenhouse-Geisser

Huynh-Feldt

Lower-bound

method

.582

7.033

2

.030

.705

.761

.500

speaker

.000

84.031

54

.012

.526

.881

.100

method * speaker

.000

.

209

.

.341

.698

.050

Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportional to an identity matrix.

a. Design: Intercept
Within Subjects Design: method + speaker + method * speaker

b. May be used to adjust the degrees of freedom for the averaged tests of significance. Corrected tests are displayed in the Tests of Within-Subjects Effects table.

General Linear Model

Tests of Within-Subjects EffectsTests of Within-Subjects Effects, table, Measure, MEASURE_1, 1 layers, 1 levels of column headers and 2 levels of row headers, table with 8 columns and 27 rows

MEASURE_1

Source

Type III Sum of Squares

df

Mean Square

F

Sig.

Partial Eta Squared

method

Sphericity Assumed

507447.590

2

253723.795

539.191

.000

.975

Greenhouse-Geisser

507447.590

1.411

359740.974

539.191

.000

.975

Huynh-Feldt

507447.590

1.522

333446.790

539.191

.000

.975

Lower-bound

507447.590

1.000

507447.590

539.191

.000

.975

Error(method)

Sphericity Assumed

13175.776

28

470.563

Greenhouse-Geisser

13175.776

19.748

667.186

Huynh-Feldt

13175.776

21.306

618.420

Lower-bound

13175.776

14.000

941.127

speaker

Sphericity Assumed

5954.725

10

595.473

29.316

.000

.677

Greenhouse-Geisser

5954.725

5.263

1131.340

29.316

.000

.677

Huynh-Feldt

5954.725

8.808

676.061

29.316

.000

.677

Lower-bound

5954.725

1.000

5954.725

29.316

.000

.677

Error(speaker)

Sphericity Assumed

2843.662

140

20.312

Greenhouse-Geisser

2843.662

73.688

38.591

Huynh-Feldt

2843.662

123.312

23.061

Lower-bound

2843.662

14.000

203.119

method * speaker

Sphericity Assumed

5854.217

20

292.711

20.513

.000

.594

Greenhouse-Geisser

5854.217

6.817

858.769

20.513

.000

.594

Huynh-Feldt

5854.217

13.957

419.440

20.513

.000

.594

Lower-bound

5854.217

1.000

5854.217

20.513

.000

.594

Error(method*speaker)

Sphericity Assumed

3995.557

280

14.270

Greenhouse-Geisser

3995.557

95.438

41.866

Huynh-Feldt

3995.557

195.401

20.448

Lower-bound

3995.557

14.000

285.397

General Linear Model

Tests of Within-Subjects ContrastsTests of Within-Subjects Contrasts, table, Measure, MEASURE_1, 1 layers, 1 levels of column headers and 3 levels of row headers, table with 9 columns and 67 rows

MEASURE_1

Source

method

speaker

Type III Sum of Squares

df

Mean Square

F

Sig.

Partial Eta Squared

method

Linear

370476.512

1

370476.512

893.427

.000

.985

Quadratic

136971.078

1

136971.078

260.175

.000

.949

Error(method)

Linear

5805.364

14

414.669

Quadratic

7370.412

14

526.458

speaker

Linear

56.149

1

56.149

6.236

.026

.308

Quadratic

73.152

1

73.152

3.182

.096

.185

Cubic

255.768

1

255.768

6.864

.020

.329

Order 4

247.625

1

247.625

18.528

.001

.570

Order 5

2170.224

1

2170.224

113.729

.000

.890

Order 6

723.796

1

723.796

27.899

.000

.666

Order 7

351.650

1

351.650

18.010

.001

.563

Order 8

198.171

1

198.171

12.201

.004

.466

Order 9

.055

1

.055

.002

.966

.000

Order 10

1878.135

1

1878.135

182.558

.000

.929

Error(speaker)

Linear

126.051

14

9.004

Quadratic

321.893

14

22.992

Cubic

521.678

14

37.263

Order 4

187.112

14

13.365

Order 5

267.155

14

19.082

Order 6

363.202

14

25.943

Order 7

273.357

14

19.525

Order 8

227.397

14

16.243

Order 9

411.788

14

29.413

Order 10

144.030

14

10.288

method * speaker

Linear

495.477

1

495.477

39.575

.000

.739

Quadratic

582.124

1

582.124

44.032

.000

.759

Cubic

153.023

1

153.023

15.569

.001

.527

Order 4

279.434

1

279.434

38.142

.000

.732

Order 5

1197.358

1

1197.358

143.981

.000

.911

Order 6

155.116

1

155.116

8.109

.013

.367

Order 7

129.057

1

129.057

10.630

.006

.432

Order 8

8.275

1

8.275

.599

.452

.041

Order 9

88.345

1

88.345

3.626

.078

.206

Order 10

235.232

1

235.232

28.467

.000

.670

Quadratic

Linear

207.742

1

207.742

14.337

.002

.506

Quadratic

621.116

1

621.116

32.497

.000

.699

Cubic

111.138

1

111.138

11.833

.004

.458

Order 4

.102

1

.102

.008

.930

.001

Order 5

1.650

1

1.650

.090

.768

.006

Order 6

380.183

1

380.183

10.031

.007

.417

Order 7

218.089

1

218.089

19.516

.001

.582

Order 8

484.053

1

484.053

27.900

.000

.666

Order 9

5.494

1

5.494

.463

.508

.032

Order 10

501.209

1

501.209

114.499

.000

.891

Error(method*speaker)

Linear

175.277

14

12.520

Quadratic

185.088

14

13.221

Cubic

137.601

14

9.829

Order 4

102.567

14

7.326

Order 5

116.425

14

8.316

Order 6

267.809

14

19.129

Order 7

169.965

14

12.140

Order 8

193.441

14

13.817

Order 9

341.081

14

24.363

Order 10

115.688

14

8.263

Quadratic

Linear

202.859

14

14.490

Quadratic

267.584

14

19.113

Cubic

131.486

14

9.392

Order 4

175.774

14

12.555

Order 5

255.344

14

18.239

Order 6

530.632

14

37.902

Order 7

156.445

14

11.175

Order 8

242.896

14

17.350

Order 9

166.310

14

11.879

Order 10

61.284

14

4.377

General Linear Model

Tests of Between-Subjects EffectsTests of Between-Subjects Effects, table, Measure, MEASURE_1, Transformed Variable, Average, 1 layers, 1 levels of column headers and 1 levels of row headers, table with 7 columns and 6 rows

MEASURE_1	MEASURE_1
Average	Average

Source

Type III Sum of Squares

df

Mean Square

F

Sig.

Partial Eta Squared

Intercept

1329167.455

1

1329167.455

721.530

.000

.981

Error

25790.107

14

1842.151

Estimated Marginal Means

1. Grand Mean1. Grand Mean, table, Measure, MEASURE_1, 1 layers, 2 levels of column headers and 0 levels of row headers, table with 4 columns and 5 rows

MEASURE_1

Mean

Std. Error

95% Confidence Interval

Lower Bound

Upper Bound

51.819

1.929

47.681

55.956

2. method

EstimatesEstimates, table, Measure, MEASURE_1, 1 layers, 2 levels of column headers and 1 levels of row headers, table with 5 columns and 7 rows

MEASURE_1

method

Mean

Std. Error

95% Confidence Interval

Lower Bound

Upper Bound

1

73.562

2.291

68.648

78.477

2

75.344

3.036

68.833

81.855

3

6.550

1.550

3.226

9.875

2. method

Pairwise ComparisonsPairwise Comparisons, table, Measure, MEASURE_1, 1 layers, 2 levels of column headers and 2 levels of row headers, table with 7 columns and 13 rows

MEASURE_1

(I) method

(J) method

Mean Difference (I-J)

Std. Error

Sig.^b

95% Confidence Interval for Difference^b

Lower Bound

Upper Bound

1

2

-1.781

1.704

.941

-6.412

2.850

3

67.012^*

2.242

.000

60.919

73.105

2

1

1.781

1.704

.941

-2.850

6.412

3

68.793^*

3.030

.000

60.558

77.028

3

1

-67.012^*

2.242

.000

-73.105

-60.919

2

-68.793^*

3.030

.000

-77.028

-60.558

Based on estimated marginal means

*. The mean difference is significant at the

b. Adjustment for multiple comparisons: Bonferroni.

2. method

Multivariate TestsMultivariate Tests, table, 1 levels of column headers and 1 levels of row headers, table with 7 columns and 8 rows
	Value	F	Hypothesis df	Error df	Sig.	Partial Eta Squared
Pillai's trace	.985	421.872^a	2.000	13.000	.000	.985
Wilks' lambda	.015	421.872^a	2.000	13.000	.000	.985
Hotelling's trace	64.903	421.872^a	2.000	13.000	.000	.985
Roy's largest root	64.903	421.872^a	2.000	13.000	.000	.985
Each F tests the multivariate effect of method. These tests are based on the linearly independent pairwise comparisons among the estimated marginal means.
a. Exact statistic

3. speaker

EstimatesEstimates, table, Measure, MEASURE_1, 1 layers, 2 levels of column headers and 1 levels of row headers, table with 5 columns and 15 rows

MEASURE_1

speaker

Mean

Std. Error

95% Confidence Interval

Lower Bound

Upper Bound

1

53.536

1.995

49.257

57.814

2

48.942

2.095

44.448

53.436

3

48.529

2.354

43.480

53.578

4

49.180

2.228

44.401

53.959

5

58.913

1.625

55.428

62.399

6

51.704

1.775

47.897

55.512

7

53.482

1.704

49.829

57.136

8

46.638

1.861

42.646

50.629

9

54.547

2.364

49.477

59.616

10

55.053

1.674

51.463

58.643

11

49.482

2.455

44.217

54.747

3. speaker

Pairwise ComparisonsPairwise Comparisons, table, Measure, MEASURE_1, 1 layers, 2 levels of column headers and 2 levels of row headers, table with 7 columns and 117 rows

MEASURE_1

(I) speaker

(J) speaker

Mean Difference (I-J)

Std. Error

Sig.^b

95% Confidence Interval for Difference^b

Lower Bound

Upper Bound

1

2

4.593^*

.991

.021

.440

8.747

3

5.007^*

1.128

.031

.280

9.734

4

4.356^*

.862

.010

.743

7.968

5

-5.378^*

.872

.001

-9.030

-1.726

6

1.831

1.094

1.000

-2.752

6.415

7

.053

.780

1.000

-3.215

3.321

8

6.898^*

1.044

.001

2.522

11.273

9

-1.011

.798

1.000

-4.355

2.333

10

-1.518

.865

1.000

-5.140

2.105

11

4.053

1.080

.118

-.471

8.578

2

1

-4.593^*

.991

.021

-8.747

-.440

3

.413

1.042

1.000

-3.954

4.781

4

-.238

.870

1.000

-3.881

3.405

5

-9.971^*

.836

.000

-13.475

-6.467

6

-2.762

.774

.170

-6.006

.482

7

-4.540^*

.754

.002

-7.699

-1.381

8

2.304

.907

1.000

-1.495

6.104

9

-5.604^*

.730

.000

-8.663

-2.546

10

-6.111^*

.885

.000

-9.820

-2.403

11

-.540

1.093

1.000

-5.117

4.037

3

1

-5.007^*

1.128

.031

-9.734

-.280

2

-.413

1.042

1.000

-4.781

3.954

4

-.651

.859

1.000

-4.251

2.949

5

-10.384^*

.913

.000

-14.207

-6.562

6

-3.176

.874

.150

-6.838

.487

7

-4.953^*

.990

.011

-9.102

-.805

8

1.891

1.032

1.000

-2.433

6.216

9

-6.018^*

1.119

.005

-10.706

-1.329

10

-6.524^*

1.002

.001

-10.722

-2.327

11

-.953

.829

1.000

-4.425

2.519

4

1

-4.356^*

.862

.010

-7.968

-.743

2

.238

.870

1.000

-3.405

3.881

3

.651

.859

1.000

-2.949

4.251

5

-9.733^*

.921

.000

-13.593

-5.874

6

-2.524

.911

.826

-6.341

1.293

7

-4.302^*

.911

.018

-8.118

-.486

8

2.542

1.172

1.000

-2.367

7.452

9

-5.367^*

.873

.001

-9.026

-1.708

10

-5.873^*

1.057

.004

-10.300

-1.447

11

-.302

.892

1.000

-4.039

3.434

5

1

5.378^*

.872

.001

1.726

9.030

2

9.971^*

.836

.000

6.467

13.475

3

10.384^*

.913

.000

6.562

14.207

4

9.733^*

.921

.000

5.874

13.593

6

7.209^*

.615

.000

4.631

9.786

7

5.431^*

.710

.000

2.458

8.405

8

12.276^*

.842

.000

8.749

15.802

9

4.367

1.151

.109

-.457

9.190

10

3.860^*

.554

.000

1.537

6.183

11

9.431^*

1.157

.000

4.585

14.277

6

1

-1.831

1.094

1.000

-6.415

2.752

2

2.762

.774

.170

-.482

6.006

3

3.176

.874

.150

-.487

6.838

4

2.524

.911

.826

-1.293

6.341

5

-7.209^*

.615

.000

-9.786

-4.631

7

-1.778

.809

1.000

-5.167

1.612

8

5.067^*

.841

.002

1.543

8.591

9

-2.842

1.153

1.000

-7.672

1.988

10

-3.349^*

.775

.039

-6.597

-.101

11

2.222

.884

1.000

-1.482

5.926

7

1

-.053

.780

1.000

-3.321

3.215

2

4.540^*

.754

.002

1.381

7.699

3

4.953^*

.990

.011

.805

9.102

4

4.302^*

.911

.018

.486

8.118

5

-5.431^*

.710

.000

-8.405

-2.458

6

1.778

.809

1.000

-1.612

5.167

8

6.844^*

.660

.000

4.081

9.607

9

-1.064

.931

1.000

-4.966

2.837

10

-1.571

.734

1.000

-4.644

1.502

11

4.000

1.224

.308

-1.126

9.126

8

1

-6.898^*

1.044

.001

-11.273

-2.522

2

-2.304

.907

1.000

-6.104

1.495

3

-1.891

1.032

1.000

-6.216

2.433

4

-2.542

1.172

1.000

-7.452

2.367

5

-12.276^*

.842

.000

-15.802

-8.749

6

-5.067^*

.841

.002

-8.591

-1.543

7

-6.844^*

.660

.000

-9.607

-4.081

9

-7.909^*

1.267

.001

-13.215

-2.602

10

-8.416^*

.819

.000

-11.849

-4.983

11

-2.844

1.159

1.000

-7.702

2.013

9

1

1.011

.798

1.000

-2.333

4.355

2

5.604^*

.730

.000

2.546

8.663

3

6.018^*

1.119

.005

1.329

10.706

4

5.367^*

.873

.001

1.708

9.026

5

-4.367

1.151

.109

-9.190

.457

6

2.842

1.153

1.000

-1.988

7.672

7

1.064

.931

1.000

-2.837

4.966

8

7.909^*

1.267

.001

2.602

13.215

10

-.507

1.200

1.000

-5.535

4.521

11

5.064^*

1.131

.029

.325

9.804

10

1

1.518

.865

1.000

-2.105

5.140

2

6.111^*

.885

.000

2.403

9.820

3

6.524^*

1.002

.001

2.327

10.722

4

5.873^*

1.057

.004

1.447

10.300

5

-3.860^*

.554

.000

-6.183

-1.537

6

3.349^*

.775

.039

.101

6.597

7

1.571

.734

1.000

-1.502

4.644

8

8.416^*

.819

.000

4.983

11.849

9

.507

1.200

1.000

-4.521

5.535

11

5.571^*

1.098

.009

.971

10.172

11

1

-4.053

1.080

.118

-8.578

.471

2

.540

1.093

1.000

-4.037

5.117

3

.953

.829

1.000

-2.519

4.425

4

.302

.892

1.000

-3.434

4.039

5

-9.431^*

1.157

.000

-14.277

-4.585

6

-2.222

.884

1.000

-5.926

1.482

7

-4.000

1.224

.308

-9.126

1.126

8

2.844

1.159

1.000

-2.013

7.702

9

-5.064^*

1.131

.029

-9.804

-.325

10

-5.571^*

1.098

.009

-10.172

-.971

Based on estimated marginal means

*. The mean difference is significant at the

b. Adjustment for multiple comparisons: Bonferroni.

3. speaker

Multivariate TestsMultivariate Tests, table, 1 levels of column headers and 1 levels of row headers, table with 7 columns and 8 rows
	Value	F	Hypothesis df	Error df	Sig.	Partial Eta Squared
Pillai's trace	.995	92.580^a	10.000	5.000	.000	.995
Wilks' lambda	.005	92.580^a	10.000	5.000	.000	.995
Hotelling's trace	185.160	92.580^a	10.000	5.000	.000	.995
Roy's largest root	185.160	92.580^a	10.000	5.000	.000	.995
Each F tests the multivariate effect of speaker. These tests are based on the linearly independent pairwise comparisons among the estimated marginal means.
a. Exact statistic

Estimated Marginal Means

4. method * speaker4. method * speaker, table, Measure, MEASURE_1, 1 layers, 2 levels of column headers and 2 levels of row headers, table with 6 columns and 37 rows

MEASURE_1

method

speaker

Mean

Std. Error

95% Confidence Interval

Lower Bound

Upper Bound

1

71.953

2.625

66.323

77.584

2

63.860

2.655

58.166

69.554

3

65.020

2.943

58.709

71.331

4

74.400

3.310

67.302

81.498

5

84.813

1.678

81.214

88.412

6

75.560

2.200

70.841

80.279

7

77.813

1.826

73.897

81.730

8

69.373

2.195

64.666

74.080

9

77.287

3.291

70.228

84.345

10

79.800

1.618

76.329

83.271

11

69.307

3.224

62.392

76.222

2

1

81.600

3.151

74.842

88.358

2

76.340

3.339

69.179

83.501

3

71.813

3.557

64.183

79.443

4

67.220

3.326

60.087

74.353

5

84.127

2.241

79.320

88.933

6

74.167

2.764

68.238

80.095

7

76.813

3.099

70.166

83.461

8

64.247

3.171

57.446

71.048

9

80.847

3.681

72.951

88.742

10

78.667

3.113

71.991

85.343

11

72.940

3.961

64.445

81.435

3

1

7.053

1.515

3.805

10.302

2

6.627

1.485

3.442

9.811

3

8.753

1.995

4.475

13.032

4

5.920

1.546

2.604

9.236

5

7.800

1.720

4.111

11.489

6

5.387

1.490

2.190

8.583

7

5.820

1.691

2.193

9.447

8

6.293

1.414

3.260

9.327

9

5.507

1.311

2.694

8.319

10

6.693

1.861

2.701

10.685

11

6.200

1.668

2.623

9.777

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