GET FILE="E:\osc_work\tempwork\test_data.sav". Comment Design with only some interactions. UNIANOVA var1 BY group time heat /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /PRINT = OPOWER ETASQ /CRITERIA = ALPHA(.05) /DESIGN = group time group*time heat*group*time.
| Output Created | 25-JUN-2003 12:22:56 | |
|---|---|---|
| Comments | ||
| Input | Data | E:\osc_work\tempwork\test_data.sav |
| Filter | <none> | |
| Weight | <none> | |
| Split File | <none> | |
| N of Rows in Working Data File | 36 | |
| Missing Value Handling | Definition of Missing | User-defined missing values are treated as missing. |
| Cases Used | Statistics are based on all cases with valid data for all variables in the model. | |
| Syntax | UNIANOVA var1 BY group time heat /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /PRINT = OPOWER ETASQ /CRITERIA = ALPHA(.05) /DESIGN = group time group*time heat*group*time. |
|
| Resources | Elapsed Time | 0:00:00.00 |
| N | ||
|---|---|---|
| GROUP | 1.0000 | 12 |
| 2.0000 | 12 | |
| 3.0000 | 12 | |
| TIME | 1.0000 | 18 |
| 2.0000 | 18 | |
| HEAT | 1.0000 | 12 |
| 2.0000 | 12 | |
| 3.0000 | 12 | |
| Source | Type III Sum of Squares | df | Mean Square | F | Sig. | Partial Eta Squared | Noncent. Parameter | Observed Power(a) |
|---|---|---|---|---|---|---|---|---|
| Corrected Model | 15832.250(b) | 17 | 931.309 | 34.888 | .000 | .971 | 593.092 | 1.000 |
| Intercept | 43472.250 | 1 | 43472.250 | 1628.513 | .000 | .989 | 1628.513 | 1.000 |
| GROUP | 14882.000 | 2 | 7441.000 | 278.747 | .000 | .969 | 557.494 | 1.000 |
| TIME | 20.250 | 1 | 20.250 | .759 | .395 | .040 | .759 | .131 |
| GROUP * TIME | 126.000 | 2 | 63.000 | 2.360 | .123 | .208 | 4.720 | .415 |
| GROUP * TIME * HEAT | 804.000 | 12 | 67.000 | 2.510 | .038 | .626 | 30.119 | .825 |
| Error | 480.500 | 18 | 26.694 | |||||
| Total | 59785.000 | 36 | ||||||
| Corrected Total | 16312.750 | 35 | ||||||
| a Computed using alpha = .05 | ||||||||
| b R Squared = .971 (Adjusted R Squared = .943) | ||||||||
Comment RESIDUAL PLOTS. UNIANOVA var1 BY group /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /PRINT = ETASQ OPOWER /PLOT = RESIDUALS /SAVE = resid zresid /CRITERIA = ALPHA(.05) /DESIGN = group .
| Output Created | 25-JUN-2003 12:22:56 | |
|---|---|---|
| Comments | ||
| Input | Data | E:\osc_work\tempwork\test_data.sav |
| Filter | <none> | |
| Weight | <none> | |
| Split File | <none> | |
| N of Rows in Working Data File | 36 | |
| Missing Value Handling | Definition of Missing | User-defined missing values are treated as missing. |
| Cases Used | Statistics are based on all cases with valid data for all variables in the model. | |
| Syntax | UNIANOVA var1 BY group /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /PRINT = ETASQ OPOWER /PLOT = RESIDUALS /SAVE = resid zresid /CRITERIA = ALPHA(.05) /DESIGN = group . |
|
| Variables Created or Modified | RES_1 | Residual for VAR1 |
| ZRE_1 | Standardized Residual for VAR1 | |
| Resources | Elapsed Time | 0:00:00.02 |
| N | ||
|---|---|---|
| GROUP | 1.0000 | 12 |
| 2.0000 | 12 | |
| 3.0000 | 12 | |
| Source | Type III Sum of Squares | df | Mean Square | F | Sig. | Partial Eta Squared | Noncent. Parameter | Observed Power(a) |
|---|---|---|---|---|---|---|---|---|
| Corrected Model | 14882.000(b) | 2 | 7441.000 | 171.625 | .000 | .912 | 343.251 | 1.000 |
| Intercept | 43472.250 | 1 | 43472.250 | 1002.680 | .000 | .968 | 1002.680 | 1.000 |
| GROUP | 14882.000 | 2 | 7441.000 | 171.625 | .000 | .912 | 343.251 | 1.000 |
| Error | 1430.750 | 33 | 43.356 | |||||
| Total | 59785.000 | 36 | ||||||
| Corrected Total | 16312.750 | 35 | ||||||
| a Computed using alpha = .05 | ||||||||
| b R Squared = .912 (Adjusted R Squared = .907) | ||||||||
Comment I used the /SAVE switch above to save the residuals (resid) and standard
ized residuals (zresid) to the dataset. These are two of a bunch of predefine
d variables that can be saved.
Comment I now save all of the dataset including the new variables and rename the
m at the same time.
save outfile="E:\osc_work\tempwork\residdata" /RENAME = (res_1=resid) (zre_1=sta
nres).
Comment I now call back the new datafile (although there are other methods like
having hidden datasets like in SAS, I prefer this approach.
get file="E:\osc_work\tempwork\residdata".
Comment And use the plot command to plot what I want. There are many options for
plotting.
PLOT FORMAT=OVERLAY
/TITLE="Residual Plot"
/VERTICAL="Residuals"
/HORIZONTAL="Group"
/PLOT=resid WITH group.
| Output Created | 25-JUN-2003 12:22:56 | |
|---|---|---|
| Comments | ||
| Input | Data | E:\osc_work\tempwork\residdata |
| Filter | <none> | |
| Weight | <none> | |
| Split File | <none> | |
| N of Rows in Working Data File | 36 | |
| Syntax | PLOT FORMAT=OVERLAY /TITLE="Residual Plot" /VERTICAL="Residuals" /HORIZONTAL="Group" /PLOT=resid WITH group. |
|
| Resources | Elapsed Time | 0:00:00.00 |
Comment MANCOVA. MANOVA var1 BY fact1(1,4) fact2(1,3) WITH covar /DESIGN.
| Output Created | 25-JUN-2003 12:22:56 | |
|---|---|---|
| Comments | ||
| Input | Data | E:\osc_work\tempwork\residdata |
| Filter | <none> | |
| Weight | <none> | |
| Split File | <none> | |
| N of Rows in Working Data File | 36 | |
| Syntax | MANOVA var1 BY fact1(1,4) fact2(1,3) WITH covar /DESIGN. |
|
| Resources | Elapsed Time | 0:00:00.00 |
The default error term in MANOVA has been changed from WITHIN CELLS to
WITHIN+RESIDUAL. Note that these are the same for all full factorial
designs.
* * * * * * A n a l y s i s o f V a r i a n c e * * * * * *
18 cases accepted.
18 cases rejected because of out-of-range factor values.
0 cases rejected because of missing data.
6 non-empty cells.
1 design will be processed.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Redundancies in Design Matrix
Column Effect
6 FACT2
8 FACT1 BY FACT2
9 (SAME)
10 (SAME)
11 (SAME)
12 (SAME)
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
* * *
* W A R N I N G * UNIQUE sums-of-squares are obtained assuming *
* * the redundant effects (possibly caused by *
* * missing cells) are actually null. *
* * The hypotheses tested may not be the *
* * hypotheses of interest. Different reorderings *
* * of the model or data, or different contrasts *
* * may result in different UNIQUE sums-of-squares. *
* * *
* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
* * * * * * A n a l y s i s o f V a r i a n c e -- design 1 * * * * * *
Tests of Significance for VAR1 using UNIQUE sums of squares
Source of Variation SS DF MS F Sig of F
WITHIN CELLS 6201.65 11 563.79
REGRESSION 836.35 1 836.35 1.48 .249
FACT1 139.81 3 46.60 .08 .968
FACT2 37.50 1 37.50 .07 .801
FACT1 BY FACT2 11.40 1 11.40 .02 .890
(Model) 1044.35 6 174.06 .31 .919
(Total) 7246.00 17 426.24
R-Squared = .144
Adjusted R-Squared = .000
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Regression analysis for WITHIN CELLS error term
--- Individual Univariate .9500 confidence intervals
Dependent variable .. VAR1
COVARIATE B Beta Std. Err. t-Value Sig. of t
COVAR 3.16800 .35307 2.601 1.218 .249
COVARIATE Lower -95% CL- Upper
COVAR -2.557 8.893
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Comment I removed the interaction term by explicitely stating the model with the
/DESIGN switch.
MANOVA var1 BY fact1(1,4) fact2(1,3) WITH covar
/DESIGN fact1 fact2.
| Output Created | 25-JUN-2003 12:22:56 | |
|---|---|---|
| Comments | ||
| Input | Data | E:\osc_work\tempwork\residdata |
| Filter | <none> | |
| Weight | <none> | |
| Split File | <none> | |
| N of Rows in Working Data File | 36 | |
| Syntax | MANOVA var1 BY fact1(1,4) fact2(1,3) WITH covar /DESIGN fact1 fact2. |
|
| Resources | Elapsed Time | 0:00:00.00 |
The default error term in MANOVA has been changed from WITHIN CELLS to
WITHIN+RESIDUAL. Note that these are the same for all full factorial
designs.
* * * * * * A n a l y s i s o f V a r i a n c e * * * * * *
18 cases accepted.
18 cases rejected because of out-of-range factor values.
0 cases rejected because of missing data.
6 non-empty cells.
1 design will be processed.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Redundancies in Design Matrix
Column Effect
6 FACT2
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
* * *
* W A R N I N G * UNIQUE sums-of-squares are obtained assuming *
* * the redundant effects (possibly caused by *
* * missing cells) are actually null. *
* * The hypotheses tested may not be the *
* * hypotheses of interest. Different reorderings *
* * of the model or data, or different contrasts *
* * may result in different UNIQUE sums-of-squares. *
* * *
* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
* * * * * * A n a l y s i s o f V a r i a n c e -- design 1 * * * * * *
Tests of Significance for VAR1 using UNIQUE sums of squares
Source of Variation SS DF MS F Sig of F
WITHIN+RESIDUAL 6213.05 12 517.75
REGRESSION 826.29 1 826.29 1.60 .230
FACT1 138.86 3 46.29 .09 .964
FACT2 27.69 1 27.69 .05 .821
(Model) 1032.95 5 206.59 .40 .840
(Total) 7246.00 17 426.24
R-Squared = .143
Adjusted R-Squared = .000
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Regression analysis for WITHIN+RESIDUAL error term
--- Individual Univariate .9500 confidence intervals
Dependent variable .. VAR1
COVARIATE B Beta Std. Err. t-Value Sig. of t
COVAR 3.11024 .34663 2.462 1.263 .230
COVARIATE Lower -95% CL- Upper
COVAR -2.254 8.475
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -