4.2.2. Regressão com as Médias-como-Resultado
(Means-as-Outcomes
Regression)
SPSS - Output
GET
  FILE='C:\Documents and Settings\user\Desktop\HSB_Modelos\SPSS\HSB12.sav'.
MIXED
  mathach  WITH meanses
  /CRITERIA = CIN(95) MXITER(100) MXSTEP(5) SCORING(1) SINGULAR(0.000000000001) 
   HCONVERGE(0, ABSOLUTE) LCONVERGE(0,
  ABSOLUTE) PCONVERGE(0.000001, ABSOLUTE)
  /FIXED = meanses  | SSTYPE(3)
  /METHOD = REML
  /PRINT = R SOLUTION TESTCOV
 /RANDOM INTERCEPT  | SUBJECT(id) COVTYPE(VC) .

 

Mixed Model Analysis

Model Dimension(b)

 

 

 

Number of Levels

Covariance Structure

Number of Parameters

Subject Variables

Fixed Effects

Intercept

1

 

1

 

meanses

1

 

1

 

Random Effects

Intercept(a)

1

Variance Components

1

id

Residual

 

 

1

 

Total

3

 

4

 

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

46961,285

Akaike's Information Criterion (AIC)

46965,285

Hurvich and Tsai's Criterion (AICC)

46965,287

Bozdogan's Criterion (CAIC)

46981,044

Schwarz's Bayesian Criterion (BIC)

46979,044

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

153,743

7180,227

,000

meanses

1

153,407

263,150

,000

a Dependent Variable: mathach.

 

Estimates of Fixed Effects(a)

Parameter

Estimate

Std. Error

df

t

Sig.

95% Confidence Interval

 

Lower Bound

Upper Bound

 

Intercept

12,649435

,149280

153,743

84,736

,000

12,354530

12,944340

 

meanses

5,863538

,361458

153,407

16,222

,000

5,149461

6,577616

 

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

39,157082

,660802

59,257

,000

37,883120

40,473886

 

Intercept [subject = id]

Variance

2,638708

,404339

6,526

,000

1,954154

3,563067

 

a Dependent Variable: mathach.

 

 

Residual Covariance (R) Matrix(a)

 

 

Residual

Residual

39,157082

a Dependent Variable: mathach.