4.2.4. Regressão com Coeficientes-Aleatórios
(Random-Coefficients
Regression)

SPSS – Output

GET
  FILE='C:\Documents and Settings\user\Desktop\HSB_Modelos\SPSS\HSB12.sav'.
MIXED
  mathach  WITH 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 = 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

 

ses_c

1

 

1

 

Random Effects

Intercept + ses_c(a)

2

Unstructured

3

id

Residual

 

 

1

 

Total

4

 

6

 

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

46714,234

Akaike's Information Criterion (AIC)

46722,234

Hurvich and Tsai's Criterion (AICC)

46722,240

Bozdogan's Criterion (CAIC)

46753,752

Schwarz's Bayesian Criterion (BIC)

46749,752

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

156,753

2670,923

,000

ses_c

1

155,217

292,403

,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

12,636193

,244504

156,753

51,681

,000

12,153246

13,119140

 

ses_c

2,193196

,128259

155,217

17,100

,000

1,939839

2,446554

 

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

36,700200

,625744

58,650

,000

35,494030

37,947358

 

Intercept + ses_c [subject = id]

UN (1,1)

8,680969

1,079535

8,041

,000

6,803240

11,076962

 

UN (2,1)

,046792

,406372

,115

,908

-,749683

,843267

 

UN (2,2)

,693989

,280786

2,472

,013

,314021

1,533721

 

a Dependent Variable: mathach.

 

 

Random Effect Covariance Structure (G)(a)

 

 

Intercept | id

ses_c | id

Intercept | id

8,680969

,046792

ses_c | id

,046792

,693989

Unstructured

a Dependent Variable: mathach.

 

Residual Covariance (R) Matrix(a)

 

 

Residual

Residual

36,700200

a Dependent Variable: mathach.