Hello all,

I have run a Univariate ANOVA in SPSS but have included a random
factor. The inclusion of a random factor, rather than fixed factors,
seems to remove the r squared from the output. Can anyone tell me how
I can calculate the r squared from the following three output tables?

Much obliged,
Col.

p.s. Had trouble pasting the tables so apologies for their
formatting...

TABLE 1:
Tests of Between-Subjects Effects
Dependent Variable: POS 
Source          Type III Sum of Squares df      Mean Square     F       Sig.
Intercept       Hypothesis      1.080   1       1.080   1.870   .173
        Error   170.725 295.517 .578                    
PBCHILD Hypothesis      .179    1       .179    .328    .568
        Error   154.388 283     .546                    
PBFLEX  Hypothesis      1.905   1       1.905   3.492   .063
        Error   154.388 283     .546                    
PBLEAVE Hypothesis      3.351   1       3.351   6.142   .014
        Error   154.388 283     .546                    
PBINFO  Hypothesis      2.918   1       2.918   5.348   .021
        Error   154.388 283     .546                    
MACH    Hypothesis      94.873  1       94.873  173.906 .000
        Error   154.388 283     .546                    
M_PBCHIL        Hypothesis      1.563E-02       1       1.563E-02       .029    .866
        Error   154.388 283     .546                    
M_PBFLEX        Hypothesis      1.072   1       1.072   1.965   .162
        Error   154.388 283     .546                    
M_PBLEAV        Hypothesis      .342    1       .342    .627    .429
        Error   154.388 283     .546                    
M_PBINFO        Hypothesis      2.943E-02       1       2.943E-02       .054    .817
        Error   154.388 283     .546                    
COMPANY Hypothesis      30.575  16      1.911   3.503   .000
        Error   154.388 283     .546                    
a       2.356E-02 MS(COMPANY) + .976 MS(Error)
b        MS(Error)

TABLE 2:
Expected Mean Squares
        Variance Component                      
Source  Var(COMPANY)    Var(Error)      Quadratic Term
Intercept       .386    1.000   Intercept
PBCHILD .000    1.000   PBCHILD
PBFLEX  .000    1.000   PBFLEX
PBLEAVE .000    1.000   PBLEAVE
PBINFO  .000    1.000   PBINFO
MACH    .000    1.000   MACH
M_PBCHIL        .000    1.000   M_PBCHIL
M_PBFLEX        .000    1.000   M_PBFLEX
M_PBLEAV        .000    1.000   M_PBLEAV
M_PBINFO        .000    1.000   M_PBINFO
COMPANY 16.391  1.000           
Error   .000    1.000           
a       For each source, the expected mean square equals the sum of the
coefficients in the cells times the variance components, plus a
quadratic term involving effects in the Quadratic Term cell.
b       Expected Mean Squares are based on the Type III Sums of Squares.

TABLE 3:
Parameter Estimates
Dependent Variable: POS 
        B       Std. Error      t       Sig.    95% Confidence Interval         
Parameter                                       Lower Bound     Upper Bound
Intercept       1.525E-02       .334    .046    .964    -.643   .673
PBCHILD -2.151E-02      .038    -.572   .568    -9.549E-02      5.247E-02
PBFLEX  6.567E-02       .035    1.869   .063    -3.503E-03      .135
PBLEAVE 9.154E-02       .037    2.478   .014    1.883E-02       .164
PBINFO  8.635E-02       .037    2.313   .021    1.285E-02       .160
MACH    .809    .061    13.187  .000    .688    .930
M_PBCHIL        8.245E-03       .049    .169    .866    -8.764E-02      .104
M_PBFLEX        -5.806E-02      .041    -1.402  .162    -.140   2.346E-02
M_PBLEAV        -3.898E-02      .049    -.792   .429    -.136   5.794E-02
M_PBINFO        9.853E-03       .042    .232    .817    -7.365E-02      9.336E-02
[COMPANY=3.00]  1.177   .279    4.221   .000    .628    1.726
[COMPANY=4.00]  .625    .272    2.302   .022    9.059E-02       1.160
[COMPANY=5.00]  -1.146E-02      .250    -.046   .963    -.503   .480
[COMPANY=6.00]  .574    .276    2.083   .038    3.146E-02       1.116
[COMPANY=8.00]  2.369E-02       .258    .092    .927    -.485   .532
[COMPANY=9.00]  .531    .265    2.006   .046    9.925E-03       1.053
[COMPANY=11.00] -3.205E-02      .280    -.114   .909    -.583   .519
[COMPANY=12.00] .243    .267    .909    .364    -.283   .768
[COMPANY=13.00] .555    .237    2.342   .020    8.845E-02       1.021
[COMPANY=14.00] .175    .266    .660    .510    -.348   .699
[COMPANY=15.00] 1.011E-02       .264    .038    .970    -.510   .530
[COMPANY=16.00] .781    .328    2.381   .018    .135    1.427
[COMPANY=18.00] .741    .242    3.059   .002    .264    1.218
[COMPANY=19.00] .604    .278    2.176   .030    5.759E-02       1.151
[COMPANY=23.00] .637    .265    2.402   .017    .115    1.159
[COMPANY=25.00] 1.217E-03       .263    .005    .996    -.517   .519
[COMPANY=26.00] 0       .       .       .       .       .
a       This parameter is set to zero because it is redundant.
.
.
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