EXERCÍCIO 11 – ANÁLISES MULTIVARIADAS DA VARIÂNCIA E DA COVARIÂNCIA
Investigação Científica em Psicologia: Teoria e Prática

 

SPSS

OUTPUT 22

 

 

Análise Multivariada da Variância e Testes a posteriori

 

 

Comandos

 
GET
 
  FILE='C:\Documents and Settings\user\Desktop\E11_DATA.sav'.
 
GLM
 
  par ati pen  BY rel
 
  /METHOD = SSTYPE(3)
 
  /INTERCEPT = INCLUDE
 
  /POSTHOC = rel ( TUKEY )
 
  /PRINT = DESCRIPTIVE ETASQ OPOWER
 
  /CRITERIA = ALPHA(.05)
 
  /DESIGN = rel.
 
 

Output

General Linear Model

Between-Subjects Factors

 

 

N

REL

1

159

2

108

3

39

 

Descriptive Statistics

 

 

REL

Mean

Std. Deviation

N

PAR

1

,5094

,7784

159

2

1,2870

1,7188

108

3

2,2051

2,9574

39

Total

1,0000

1,6674

306

ATI

1

4,2704

4,3103

159

2

5,3981

4,6843

108

3

8,6154

5,5041

39

Total

5,2222

4,8013

306

PEN

1

4,6352

1,5525

159

2

5,0926

1,5440

108

3

4,5641

1,4472

39

Total

4,7876

1,5483

306

 

Multivariate Tests(d)

Effect

Value

F

Hypothesis df

Error df

Sig.

Partial Eta Squared

Noncent. Parameter

Observed Power(a)

Intercept

Pillai's Trace

,8848

770,3961(b)

3,0000

301,0000

,0000

,8848

2311,1882

1,0000

Wilks' Lambda

,1152

770,3961(b)

3,0000

301,0000

,0000

,8848

2311,1882

1,0000

Hotelling's Trace

7,6784

770,3961(b)

3,0000

301,0000

,0000

,8848

2311,1882

1,0000

Roy's Largest Root

7,6784

770,3961(b)

3,0000

301,0000

,0000

,8848

2311,1882

1,0000

REL

Pillai's Trace

,1766

9,7510

6,0000

604,0000

,0000

,0883

58,5062

1,0000

Wilks' Lambda

,8275

9,9656(b)

6,0000

602,0000

,0000

,0904

59,7934

1,0000

Hotelling's Trace

,2036

10,1790

6,0000

600,0000

,0000

,0924

61,0742

1,0000

Roy's Largest Root

,1755

17,6630(c)

3,0000

302,0000

,0000

,1493

52,9889

1,0000

a Computed using alpha = ,05

b Exact statistic

c The statistic is an upper bound on F that yields a lower bound on the significance level.

d Design: Intercept+REL

 

Tests of Between-Subjects Effects

Source

Dependent Variable

Type III Sum of Squares

df

Mean Square

F

Sig.

Partial Eta Squared

Noncent. Parameter

Observed Power(a)

Corrected Model

PAR

103,8033(b)

2

51,9017

21,1318

,0000

,1224

42,2636

1,0000

ATI

596,4074(c)

2

298,2037

14,0424

,0000

,0848

28,0849

,9985

PEN

15,6862(d)

2

7,8431

3,3214

,0374

,0215

6,6427

,6264

Intercept

PAR

388,7583

1

388,7583

158,2831

,0000

,3431

158,2831

1,0000

ATI

8116,2168

1

8116,2168

382,1930

,0000

,5578

382,1930

1,0000

PEN

4958,9915

1

4958,9915

2100,0148

,0000

,8739

2100,0148

1,0000

REL

PAR

103,8033

2

51,9017

21,1318

,0000

,1224

42,2636

1,0000

ATI

596,4074

2

298,2037

14,0424

,0000

,0848

28,0849

,9985

PEN

15,6862

2

7,8431

3,3214

,0374

,0215

6,6427

,6264

Error

PAR

744,1967

303

2,4561

 

 

 

 

 

ATI

6434,4815

303

21,2359

 

 

 

 

 

PEN

715,5066

303

2,3614

 

 

 

 

 

Total

PAR

1154,0000

306

 

 

 

 

 

 

ATI

15376,0000

306

 

 

 

 

 

 

PEN

7745,0000

306

 

 

 

 

 

 

Corrected Total

PAR

848,0000

305

 

 

 

 

 

 

ATI

7030,8889

305

 

 

 

 

 

 

PEN

731,1928

305

 

 

 

 

 

 

a Computed using alpha = ,05

b R Squared = ,122 (Adjusted R Squared = ,117)

c R Squared = ,085 (Adjusted R Squared = ,079)

d R Squared = ,021 (Adjusted R Squared = ,015)

 

Post Hoc Tests

REL

Multiple Comparisons
Tukey HSD

 

 

Mean Difference (I-J)

Std. Error

Sig.

95% Confidence Interval

Dependent Variable

(I) REL

(J) REL

Lower Bound

Upper Bound

PAR

1

2

-,7776(*)

,1954

,0003

-1,2379

-,3173

3

-1,6957(*)

,2800

,0000

-2,3553

-1,0361

2

1

,7776(*)

,1954

,0003

,3173

1,2379

3

-,9181(*)

,2928

,0053

-1,6077

-,2285

3

1

1,6957(*)

,2800

,0000

1,0361

2,3553

2

,9181(*)

,2928

,0053

,2285

1,6077

ATI

1

2

-1,1277

,5746

,1234

-2,4811

,2257

3

-4,3449(*)

,8234

,0000

-6,2844

-2,4055

2

1

1,1277

,5746

,1234

-,2257

2,4811

3

-3,2172(*)

,8609

,0006

-5,2449

-1,1896

3

1

4,3449(*)

,8234

,0000

2,4055

6,2844

2

3,2172(*)

,8609

,0006

1,1896

5,2449

PEN

1

2

-,4574(*)

,1916

,0462

-,9087

-,0061

3

,0711

,2746

,9637

-,5756

,7179

2

1

,4574(*)

,1916

,0462

,0061

,9087

3

,5285

,2871

,1581

-,1477

1,2046

3

1

-,0711

,2746

,9637

-,7179

,5756

2

-,5285

,2871

,1581

-1,2046

,1477

Based on observed means.

* The mean difference is significant at the ,05 level.

 

Homogeneous Subsets

PAR
Tukey HSD

 

 

N

Subset

REL

1

2

3

1

159

,5094

 

 

2

108

 

1,2870

 

3

39

 

 

2,2051

Sig.

 

1,0000

1,0000

1,0000

Means for groups in homogeneous subsets are displayed.
Based on Type III Sum of Squares
The error term is Mean Square(Error) = 2,456.

a Uses Harmonic Mean Sample Size = 72,834.

b Alpha = ,05.

 

ATI
Tukey HSD

 

 

N

Subset

REL

1

2

1

159

4,2704

 

2

108

5,3981

 

3

39

 

8,6154

Sig.

 

,3035

1,0000

Means for groups in homogeneous subsets are displayed.
Based on Type III Sum of Squares
The error term is Mean Square(Error) = 21,236.

a Uses Harmonic Mean Sample Size = 72,834.

b Alpha = ,05.

 

PEN
Tukey HSD

 

 

N

Subset

REL

1

3

39

4,5641

1

159

4,6352

2

108

5,0926

Sig.

 

,0967

Means for groups in homogeneous subsets are displayed.
Based on Type III Sum of Squares
The error term is Mean Square(Error) = 2,361.

a Uses Harmonic Mean Sample Size = 72,834.

b Alpha = ,05.



SPSS

OUTPUT 23

Análise Multivariada da Covariância

 

Comandos

 
GET
 
  FILE='C:\Documents and Settings\user\Desktop\E11_DATA.sav'.
 
GLM
 
  par ati pen  BY rel  WITH id
 
  /METHOD = SSTYPE(3)
 
  /INTERCEPT = INCLUDE
 
  /EMMEANS = TABLES(rel) WITH(id=MEAN)
 
  /CRITERIA = ALPHA(.05)
 
  /DESIGN = id rel.
 
 

Output

General Linear Model

Between-Subjects Factors

 

 

N

REL

1

159

2

108

3

39

 

Multivariate Tests(c)

Effect

Value

F

Hypothesis df

Error df

Sig.

Intercept

Pillai's Trace

,1725

20,8498(a)

3

300

,0000

Wilks' Lambda

,8275

20,8498(a)

3

300

,0000

Hotelling's Trace

,2085

20,8498(a)

3

300

,0000

Roy's Largest Root

,2085

20,8498(a)

3

300

,0000

ID

Pillai's Trace

,1133

12,7810(a)

3

300

,0000

Wilks' Lambda

,8867

12,7810(a)

3

300

,0000

Hotelling's Trace

,1278

12,7810(a)

3

300

,0000

Roy's Largest Root

,1278

12,7810(a)

3

300

,0000

REL

Pillai's Trace

,1674

9,1658

6

602

,0000

Wilks' Lambda

,8364

9,3445(a)

6

600

,0000

Hotelling's Trace

,1911

9,5221

6

598

,0000

Roy's Largest Root

,1633

16,3807(b)

3

301

,0000

a Exact statistic

b The statistic is an upper bound on F that yields a lower bound on the significance level.

c Design: Intercept+ID+REL

 

Tests of Between-Subjects Effects

Source

Dependent Variable

Type III Sum of Squares

df

Mean Square

F

Sig.

Corrected Model

PAR

181,4133(a)

3

60,4711

27,3967

,0000

ATI

777,7042(b)

3

259,2347

12,5198

,0000

PEN

16,1039(c)

3

5,3680

2,2670

,0808

Intercept

PAR

39,5627

1

39,5627

17,9240

,0000

ATI

4,6625

1

4,6625

,2252

,6355

PEN

88,2960

1

88,2960

37,2896

,0000

ID

PAR

77,6100

1

77,6100

35,1615

,0000

ATI

181,2968

1

181,2968

8,7558

,0033

PEN

,4177

1

,4177

,1764

,6748

REL

PAR

83,3424

2

41,6712

18,8793

,0000

ATI

529,7622

2

264,8811

12,7925

,0000

PEN

15,9764

2

7,9882

3,3736

,0356

Error

PAR

666,5867

302

2,2072

 

 

ATI

6253,1847

302

20,7059

 

 

PEN

715,0889

302

2,3678

 

 

Total

PAR

1154,0000

306

 

 

 

ATI

15376,0000

306

 

 

 

PEN

7745,0000

306

 

 

 

Corrected Total

PAR

848,0000

305

 

 

 

ATI

7030,8889

305

 

 

 

PEN

731,1928

305

 

 

 

a R Squared = ,214 (Adjusted R Squared = ,206)

b R Squared = ,111 (Adjusted R Squared = ,102)

c R Squared = ,022 (Adjusted R Squared = ,012)

 

Estimated Marginal Means

REL

 

 

Mean

Std. Error

95% Confidence Interval

Dependent Variable

REL

Lower Bound

Upper Bound

PAR

1

,5681(a)

,1182

,3354

,8008

2

1,2312(a)

,1433

,9493

1,5131

3

2,1205(a)

,2383

1,6516

2,5895

ATI

1

4,3601(a)

,3621

3,6475

5,0728

2

5,3128(a)

,4388

4,4493

6,1763

3

8,4861(a)

,7300

7,0497

9,9225

PEN

1

4,6309(a)

,1225

4,3899

4,8719

2

5,0967(a)

,1484

4,8047

5,3887

3

4,5703(a)

,2468

4,0846

5,0561

a Evaluated at covariates appeared in the model: ID = 20,98.

 

 

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Última actualização: 2012-09-17