4.2.5. Ordenadas- e Inclinações-como-Resultados
(Intercepts- and Slopes-as-Outcomes)

SPSS – Output

GET
  FILE='C:\Documents and Settings\user\Desktop\HSB_Modelos\SPSS\HSB12.sav'.
MIXED
  mathach  WITH sector meanses_c ses_c
  /CRITERIA = CIN(95) MXITER(100) MXSTEP(5) SCORING(1) SINGULAR(0.000000000001) 
   HCONVERGE(0, ABSOLUTE) LCONVERGE(0,
  ABSOLUTE) PCONVERGE(0.000001, ABSOLUTE)
  /FIXED = sector meanses_c ses_c sector*ses_c meanses_c*ses_c  | SSTYPE(3)
  /METHOD = REML
  /PRINT = G R SOLUTION TESTCOV
 /RANDOM INTERCEPT ses_c  | SUBJECT(id) COVTYPE(UN) .

 

Mixed Model Analysis

Model Dimension(b)

 

 

 

Number of Levels

Covariance Structure

Number of Parameters

Subject Variables

Fixed Effects

Intercept

1

 

1

 

sector

1

 

1

 

meanses_c

1

 

1

 

ses_c

1

 

1

 

sector * ses_c

1

 

1

 

meanses_c * ses_c

1

 

1

 

Random Effects

Intercept + ses_c(a)

2

Unstructured

3

id

Residual

 

 

1

 

Total

8

 

10

 

a As of version 11.5, the syntax rules for the RANDOM subcommand have changed. Your command syntax may yield results that differ from those produced by prior versions. If you are using SPSS 11 syntax, please consult the current syntax reference guide for more information.

b Dependent Variable: mathach.

 

Information Criteria(a)

-2 Restricted Log Likelihood

46503,664

Akaike's Information Criterion (AIC)

46511,664

Hurvich and Tsai's Criterion (AICC)

46511,670

Bozdogan's Criterion (CAIC)

46543,180

Schwarz's Bayesian Criterion (BIC)

46539,180

The information criteria are displayed in smaller-is-better forms.

a Dependent Variable: mathach.

 

Fixed Effects

Type III Tests of Fixed Effects(a)

Source

Numerator df

Denominator df

F

Sig.

Intercept

1

159,897

3703,499

,000

sector

1

149,613

16,036

,000

meanses_c

1

150,983

208,691

,000

ses_c

1

139,633

358,181

,000

sector * ses_c

1

143,351

46,927

,000

meanses_c * ses_c

1

160,561

12,081

,001

a Dependent Variable: mathach.

 

Estimates of Fixed Effects(a)

Parameter

Estimate

Std. Error

df

t

Sig.

95% Confidence Interval

 

Lower Bound

Upper Bound

 

Intercept

12,128733

,199301

159,897

60,856

,000

11,735131

12,522335

 

sector

1,226453

,306268

149,613

4,005

,000

,621284

1,831622

 

meanses_c

5,332898

,369157

150,983

14,446

,000

4,603517

6,062280

 

ses_c

2,945162

,155617

139,633

18,926

,000

2,637491

3,252832

 

sector * ses_c

-1,642618

,239787

143,351

-6,850

,000

-2,116592

-1,168643

 

meanses_c * ses_c

1,038915

,298896

160,561

3,476

,001

,448641

1,629189

 

a Dependent Variable: mathach.

 

 

Covariance Parameters

Estimates of Covariance Parameters(a)

Parameter

 

Estimate

Std. Error

Wald Z

Sig.

95% Confidence Interval

 

Lower Bound

Upper Bound

 

Residual

36,721155

,626134

58,647

,000

35,514235

37,969091

 

Intercept + ses_c [subject = id]

UN (1,1)

2,379490

,371446

6,406

,000

1,752301

3,231164

 

UN (2,1)

,192044

,204362

,940

,347

-,208499

,592587

 

UN (2,2)

,101313

,213804

,474

,636

,001619

6,338484

 

a Dependent Variable: mathach.

 

 

Random Effect Covariance Structure (G)(a)

 

 

Intercept | id

ses_c | id

Intercept | id

2,379490

,192044

ses_c | id

,192044

,101313

Unstructured

a Dependent Variable: mathach.

 

Residual Covariance (R) Matrix(a)

 

 

Residual

Residual

36,721155

a Dependent Variable: mathach.