EXERCÍCIO 10 – ANÁLISE DA CORRELAÇÃO E DA REGRESSÃO.
ANÁLISE DA COVARIÂNCIA
Investigação Científica em Psicologia: Teoria e Prática

 

SPSS

OUTPUT 18

 

 

Correlação e Covariância

 

 

Comandos

GET
  FILE='C:\Documents and Settings\user\Desktop\E10_DATA.sav'.
CORRELATIONS
  /VARIABLES=per_1 per_3
  /PRINT=TWOTAIL NOSIG
  /STATISTICS DESCRIPTIVES XPROD
  /MISSING=PAIRWISE.
 

Output

Correlations

Descriptive Statistics

 

 

Mean

Std. Deviation

N

PER_1

12,6333

2,4280

30

PER_3

12,8000

2,1560

30

 

Correlations

 

 

PER_1

PER_3

PER_1

Pearson Correlation

1,0000

,7364(**)

Sig. (2-tailed)

,

,0000

Sum of Squares and Cross-products

170,9667

111,8000

Covariance

5,8954

3,8552

N

30

30

PER_3

Pearson Correlation

,7364(**)

1,0000

Sig. (2-tailed)

,0000

,

Sum of Squares and Cross-products

111,8000

134,8000

Covariance

3,8552

4,6483

N

30

30

** Correlation is significant at the 0.01 level (2-tailed).

 

Ver fórmulas

 

SPSS

OUTPUT 19

Análise da Regressão Simples

 

Comandos

GET
  FILE='C:\Documents and Settings\user\Desktop\E10_DATA.sav'.
REGRESSION
  /MISSING LISTWISE
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT per_3
  /METHOD=ENTER per_1.
GRAPH
  /SCATTERPLOT(BIVAR)=per_1 WITH per_3
  /MISSING=LISTWISE.
 

Output

Regression

Variables Entered/Removed(b)

Model

Variables Entered

Variables Removed

Method

1

PER_1(a)

,

Enter

a All requested variables entered.

b Dependent Variable: PER_3

 

Model Summary

Model

R

R Square

Adjusted R Square

Std. Error of the Estimate

1

,7364(a)

,5424

,5260

1,4843

a Predictors: (Constant), PER_1

 

ANOVA(b)

Model

Sum of Squares

df

Mean Square

F

Sig.

1

Regression

73,1092

1

73,1092

33,1826

,0000(a)

Residual

61,6908

28

2,2032

 

 

Total

134,8000

29

 

 

 

a Predictors: (Constant), PER_1

b Dependent Variable: PER_3

 

Coefficients(a)

 

 

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

Model

B

Std. Error

Beta


1

(Constant)

4,5387

1,4595

 

3,1097

,0043

PER_1

,6539

,1135

,7364

5,7604

,0000

a Dependent Variable: PER_3

 

Graph

 

Ver fórmulas

 

 

SPSS

OUTPUT 20

Análise da Covariância – Teste para a Interacção entre o Tratamento e a Covariável

 

Comandos

GET
  FILE='C:\Documents and Settings\user\Desktop\E04_DATA2.sav'.
UNIANOVA
  pos_test  BY vi  WITH pre_test
  /METHOD = SSTYPE(3)
  /INTERCEPT = INCLUDE
  /CRITERIA = ALPHA(.05)
  /DESIGN = vi pre_test pre_test*vi.
 

Output

Univariate Analysis of Variance

Between-Subjects Factors

 

 

N

VI

1

15

2

15

 

Tests of Between-Subjects Effects
Dependent Variable: POS_TEST

Source

Type III Sum of Squares

df

Mean Square

F

Sig.

Corrected Model

68,6845(a)

3

22,8948

8,6670

,0004

Intercept

64,6589

1

64,6589

24,4770

,0000

VI

1,2689

1

1,2689

,4803

,4944

PRE_TEST

50,9252

1

50,9252

19,2780

,0002

VI * PRE_TEST

,0109

1

,0109

,0041

,9492

Error

68,6822

26

2,6416

 

 

Total

4775,0000

30

 

 

 

Corrected Total

137,3667

29

 

 

 

a R Squared = ,500 (Adjusted R Squared = ,442)

 

 

 

SPSS

OUTPUT 21

Análise da Covariância

 

Comandos

GET
  FILE='C:\Documents and Settings\user\Desktop\E04_DATA2.sav'.
UNIANOVA
  pos_test  BY vi  WITH pre_test
  /METHOD = SSTYPE(3)
  /INTERCEPT = INCLUDE
  /CRITERIA = ALPHA(.05)
  /DESIGN = pre_test vi.
 

Output

Univariate Analysis of Variance

Between-Subjects Factors

 

 

N

VI

1

15

2

15

 

Tests of Between-Subjects Effects
Dependent Variable: POS_TEST

Source

Type III Sum of Squares

df

Mean Square

F

Sig.

Corrected Model

68,6736(a)

2,0000

34,3368

13,4962

,0001

Intercept

65,1705

1,0000

65,1705

25,6155

,0000

PRE_TEST

51,0402

1,0000

51,0402

20,0615

,0001

VI

21,5550

1,0000

21,5550

8,4723

,0071

Error

68,6931

27,0000

2,5442

 

 

Total

4775,0000

30,0000

 

 

 

Corrected Total

137,3667

68,6736

2,0000

34,3368

13,4962

a R Squared = ,500 (Adjusted R Squared = ,463)

 

 

SPSS: SYNTAX FILES

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Última actualização: 2012-09-17