20 Feb 98 SPSS for Unix, Release 5.0 (IBM RS/6000) Page 1
18:12:32 sigma.oac.ucla.edu IBM RS/6000 IBM AIX 3.2.
For IBM AIX 3.2. sigma.oac.ucla.edu SPSS ID 265665
-> title 'ATI example -- Pedhazur data p. 464'.
-> comment ATI= aptitude x treatment interaction.
-> DATA LIST RECORDS=1
-> /Y 1 X1 2 X3 3-4.
This command will read 1 records from the command file
Variable Rec Start End Format
Y 1 1 1 F1.0
X1 1 2 2 F1.0
X3 1 3 4 F2.0
-> begin data.
-> 2105
-> 1107
-> 2110
-> 2115
-> 3117
-> 3120
-> 3125
-> 4123
-> 4127
-> 5130
-> 6135
-> 5137
-> 5140
-> 5142
-> 6145
-> 6147
-> 6150
-> 7155
-> 7160
-> 6162
-> 7005
-> 7007
-> 7009
-> 6013
-> 5012
-> 6016
-> 5018
-> 5021
-> 5022
-> 4027
-> 4026
-> 3032
-> 3035
-> 2040
-> 3045
-> 2047
-> 2049
-> 1053
-> 2058
-> 1063
-> end data.
Preceding task required .03 seconds CPU time; .15 seconds elapsed.
-> COMPUTE X4=X1*X3.
-> VAR LABELS Y,RATINGS OF TEACHERS/
-> X1,TEACHING STYLE/
-> X3,TOLERANCE OF AMBIGUITY/
-> X4,INTERACTION--X1*X3.
20 Feb 98 ATI example -- Pedhazur data p. 464 Page 2
18:12:38 sigma.oac.ucla.edu IBM RS/6000 IBM AIX 3.2.
-> VALUE LABELS X1 0 'DIRECTIVE' 1 'NONDIRECTIVE'.
-> SET WIDTH=80.
-> condescriptive var=y,x3.
There are 523,688 bytes of memory available.
The largest contiguous area has 523,256 bytes.
152 bytes of memory required for the DESCRIPTIVES procedure.
8 bytes have already been acquired.
144 bytes remain to be acquired.
20 Feb 98 ATI example -- Pedhazur data p. 464 Page 3
18:12:38 sigma.oac.ucla.edu IBM RS/6000 IBM AIX 3.2.
Number of valid observations (listwise) = 40.00
Valid
Variable Mean Std Dev Minimum Maximum N Label
Y 4.20 1.90 1 7 40 RATINGS OF TEACHERS
X3 31.25 17.52 5 63 40 TOLERANCE OF AMBIGUIT
20 Feb 98 ATI example -- Pedhazur data p. 464 Page 4
18:12:38 sigma.oac.ucla.edu IBM RS/6000 IBM AIX 3.2.
Preceding task required .03 seconds CPU time; .04 seconds elapsed.
-> comment regression enters aptitude 1st, treatment 2nd, interaction 3rd.
-> REGRESSION VARIABLES=Y,X1,X3,X4/
-> STATISTICS=R,ANOVA,COEFF,CHA/
-> DEPENDENT=Y/ENTER X3/ENTER X1/ENTER X4.
There are 523,424 bytes of memory available.
The largest contiguous area has 523,008 bytes.
1724 bytes of memory required for REGRESSION procedure.
0 more bytes may be needed for Residuals plots.
20 Feb 98 ATI example -- Pedhazur data p. 464 Page 5
18:12:38 sigma.oac.ucla.edu IBM RS/6000 IBM AIX 3.2.
* * * * M U L T I P L E R E G R E S S I O N * * * *
Listwise Deletion of Missing Data
Equation Number 1 Dependent Variable.. Y RATINGS OF TEACHERS
Block Number 1. Method: Enter X3
Variable(s) Entered on Step Number
1.. X3 TOLERANCE OF AMBIGUITY
Multiple R .05785
R Square .00335 R Square Change .00335
Adjusted R Square -.02288 F Change .12758
Standard Error 1.91895 Signif F Change .7229
Analysis of Variance
DF Sum of Squares Mean Square
Regression 1 .46979 .46979
Residual 38 139.93021 3.68237
F = .12758 Signif F = .7229
------------------ Variables in the Equation ------------------
Variable B SE B Beta T Sig T
X3 -.006264 .017537 -.057845 -.357 .7229
(Constant) 4.395745 .626414 7.017 .0000
End Block Number 1 All requested variables entered.
20 Feb 98 ATI example -- Pedhazur data p. 464 Page 6
18:12:38 sigma.oac.ucla.edu IBM RS/6000 IBM AIX 3.2.
* * * * M U L T I P L E R E G R E S S I O N * * * *
Equation Number 1 Dependent Variable.. Y RATINGS OF TEACHERS
Block Number 2. Method: Enter X1
Variable(s) Entered on Step Number
2.. X1 TEACHING STYLE
Multiple R .12571
R Square .01580 R Square Change .01246
Adjusted R Square -.03740 F Change .46827
Standard Error 1.93252 Signif F Change .4980
Analysis of Variance
DF Sum of Squares Mean Square
Regression 2 2.21859 1.10930
Residual 37 138.18141 3.73463
F = .29703 Signif F = .7448
------------------ Variables in the Equation ------------------
Variable B SE B Beta T Sig T
X3 -.007210 .017715 -.066580 -.407 .6864
X1 .419466 .612985 .111947 .684 .4980
(Constant) 4.215571 .683585 6.167 .0000
End Block Number 2 All requested variables entered.
20 Feb 98 ATI example -- Pedhazur data p. 464 Page 7
18:12:38 sigma.oac.ucla.edu IBM RS/6000 IBM AIX 3.2.
* * * * M U L T I P L E R E G R E S S I O N * * * *
Equation Number 1 Dependent Variable.. Y RATINGS OF TEACHERS
Block Number 3. Method: Enter X4
Variable(s) Entered on Step Number
3.. X4 INTERACTION--X1*X3
Multiple R .95233
R Square .90693 R Square Change .89112
Adjusted R Square .89917 F Change 344.67740
Standard Error .60249 Signif F Change .0000
Analysis of Variance
DF Sum of Squares Mean Square
Regression 3 127.33242 42.44414
Residual 36 13.06758 .36299
F = 116.92981 Signif F = .0000
------------------ Variables in the Equation ------------------
Variable B SE B Beta T Sig T
X3 -.106796 .007699 -.986243 -13.871 .0000
X1 -5.999715 .395057 -1.601206 -15.187 .0000
X4 .205155 .011050 2.217581 18.565 .0000
(Constant) 7.193213 .266724 26.969 .0000
End Block Number 3 All requested variables entered.
20 Feb 98 ATI example -- Pedhazur data p. 464 Page 8
18:12:38 sigma.oac.ucla.edu IBM RS/6000 IBM AIX 3.2.
Preceding task required .03 seconds CPU time; .05 seconds elapsed.
-> REGRESSION SELECT X1 EQ 1/
-> VARIABLES=Y,X3/
-> STATISTICS=R,ANOVA,COEFF/
-> DEPENDENT=Y/
-> ENTER/
-> SCATTERPLOTS (Y,X3) .
There are 523,360 bytes of memory available.
The largest contiguous area has 522,976 bytes.
1164 bytes of memory required for REGRESSION procedure.
3272 more bytes may be needed for Residuals plots.
20 Feb 98 ATI example -- Pedhazur data p. 464 Page 9
18:12:39 sigma.oac.ucla.edu IBM RS/6000 IBM AIX 3.2.
* * * * M U L T I P L E R E G R E S S I O N * * * *
Listwise Deletion of Missing Data
Selecting only Cases for which X1 EQ 1
Equation Number 1 Dependent Variable.. Y RATINGS OF TEACHERS
Block Number 1. Method: Enter
Variable(s) Entered on Step Number
1.. X3 TOLERANCE OF AMBIGUITY
Multiple R .94336
R Square .88993
Adjusted R Square .88381
Standard Error .61970
Analysis of Variance
DF Sum of Squares Mean Square
Regression 1 55.88756 55.88756
Residual 18 6.91244 .38402
F = 145.53119 Signif F = .0000
------------------ Variables in the Equation ------------------
Variable B SE B Beta T Sig T
X3 .098359 .008153 .943361 12.064 .0000
(Constant) 1.193498 .299751 3.982 .0009
End Block Number 1 All requested variables entered.
20 Feb 98 ATI example -- Pedhazur data p. 464 Page 10
18:12:39 sigma.oac.ucla.edu IBM RS/6000 IBM AIX 3.2.
* * * * M U L T I P L E R E G R E S S I O N * * * *
Equation Number 1 Dependent Variable.. Y RATINGS OF TEACHERS
Residuals Statistics:
Selected Cases: X1 EQ 1
Min Max Mean Std Dev N
*PRED 1.6853 7.2918 4.4000 1.7151 20
*RESID -1.2918 1.3639 .0000 .6032 20
*ZPRED -1.5829 1.6861 .0000 1.0000 20
*ZRESID -2.0845 2.2010 .0000 .9733 20
Total Cases = 20
Residuals Statistics:
Unselected Cases: X1 NE 1
Min Max Mean Std Dev N
*PRED 1.6853 7.3901 4.1344 1.7658 20
*RESID -6.3901 5.3147 -.1344 3.7268 20
*ZPRED -1.5829 1.7434 -.1548 1.0296 20
*ZRESID -10.3117 8.5763 -.2169 6.0140 20
Total Cases = 20
Multiple R for Selected Cases = .94336
R for Unselected Cases -.95865
20 Feb 98 ATI example -- Pedhazur data p. 464 Page 11
18:12:39 sigma.oac.ucla.edu IBM RS/6000 IBM AIX 3.2.
Standardized Scatterplot - Selected Cases
Across - X3 Down - Y
Out ++-----+-----+-----+-----+-----+-----++
3 + + Symbols:
| |
| | Max N
2 + +
| | . 1.0
| .. | : 2.0
1 + . ... . +
| |
| . .: |
0 + +
| .. |
| ... |
-1 + +
| .. . |
| |
-2 + . +
| |
| |
-3 + +
Out ++-----+-----+-----+-----+-----+-----++
-3 -2 -1 0 1 2 3 Out
Standardized Scatterplot - Unselected Cases
Across - X3 Down - Y
Out ++-----+-----+-----+-----+-----+-----++
3 + + Symbols:
| |
| | Max N
2 + +
| | . 1.0
| :. | : 2.0
1 + .. +
| |
| . .: |
0 + +
| : |
| .. . |
-1 + +
| . .. . |
| |
-2 + . . +
| |
| |
-3 + +
Out ++-----+-----+-----+-----+-----+-----++
-3 -2 -1 0 1 2 3 Out
20 Feb 98 ATI example -- Pedhazur data p. 464 Page 12
18:12:39 sigma.oac.ucla.edu IBM RS/6000 IBM AIX 3.2.
Preceding task required .01 seconds CPU time; .14 seconds elapsed.
-> REGRESSION SELECT X1 EQ 0/
-> VARIABLES=Y,X3/
-> STATISTICS=R,ANOVA,COEFF/
-> DEPENDENT=Y/
-> ENTER/
-> SCATTERPLOTS (Y,X3) .
There are 523,360 bytes of memory available.
The largest contiguous area has 522,976 bytes.
1164 bytes of memory required for REGRESSION procedure.
3272 more bytes may be needed for Residuals plots.
20 Feb 98 ATI example -- Pedhazur data p. 464 Page 13
18:12:41 sigma.oac.ucla.edu IBM RS/6000 IBM AIX 3.2.
* * * * M U L T I P L E R E G R E S S I O N * * * *
Listwise Deletion of Missing Data
Selecting only Cases for which X1 EQ 0
Equation Number 1 Dependent Variable.. Y RATINGS OF TEACHERS
Block Number 1. Method: Enter
Variable(s) Entered on Step Number
1.. X3 TOLERANCE OF AMBIGUITY
Multiple R .95865
R Square .91901
Adjusted R Square .91451
Standard Error .58477
Analysis of Variance
DF Sum of Squares Mean Square
Regression 1 69.84487 69.84487
Residual 18 6.15513 .34195
F = 204.25354 Signif F = .0000
------------------ Variables in the Equation ------------------
Variable B SE B Beta T Sig T
X3 -.106796 .007473 -.958651 -14.292 .0000
(Constant) 7.193213 .258880 27.786 .0000
End Block Number 1 All requested variables entered.
20 Feb 98 ATI example -- Pedhazur data p. 464 Page 14
18:12:41 sigma.oac.ucla.edu IBM RS/6000 IBM AIX 3.2.
* * * * M U L T I P L E R E G R E S S I O N * * * *
Equation Number 1 Dependent Variable.. Y RATINGS OF TEACHERS
Residuals Statistics:
Selected Cases: X1 EQ 0
Min Max Mean Std Dev N
*PRED .4650 6.6592 4.0000 1.9173 20
*RESID -.9214 1.0010 .0000 .5692 20
*ZPRED -1.8437 1.3870 .0000 1.0000 20
*ZRESID -1.5756 1.7118 .0000 .9733 20
Total Cases = 20
Residuals Statistics:
Unselected Cases: X1 NE 0
Min Max Mean Std Dev N
*PRED .5718 6.6592 3.7116 1.8622 20
*RESID -5.4456 6.2146 .6884 3.6277 20
*ZPRED -1.7880 1.3870 -.1504 .9713 20
*ZRESID -9.3125 10.6274 1.1771 6.2038 20
Total Cases = 20
Multiple R for Selected Cases = .95865
R for Unselected Cases -.94336
20 Feb 98 ATI example -- Pedhazur data p. 464 Page 15
18:12:41 sigma.oac.ucla.edu IBM RS/6000 IBM AIX 3.2.
Standardized Scatterplot - Selected Cases
Across - X3 Down - Y
Out ++-----+-----+-----+-----+-----+-----++
3 + + Symbols:
| |
| | Max N
2 + +
| :. | . 1.0
| | : 2.0
1 + .. +
| . .: |
| |
0 + : +
| .. . |
| |
-1 + . : . +
| . . |
| |
-2 + +
| |
| |
-3 + +
Out ++-----+-----+-----+-----+-----+-----++
-3 -2 -1 0 1 2 3 Out
Standardized Scatterplot - Unselected Cases
Across - X3 Down - Y
Out ++-----+-----+-----+-----+-----+-----++
3 + + Symbols:
| |
| | Max N
2 + +
| . . | . 1.0
| |
1 + . ... . +
| . ... |
| |
0 + .. +
| ... |
| |
-1 + .. . +
| . |
| |
-2 + +
| |
| |
-3 + +
Out ++-----+-----+-----+-----+-----+-----++
-3 -2 -1 0 1 2 3 Out
20 Feb 98 ATI example -- Pedhazur data p. 464 Page 16
18:12:41 sigma.oac.ucla.edu IBM RS/6000 IBM AIX 3.2.
Preceding task required .01 seconds CPU time; .15 seconds elapsed.
--========================_48454142==_
Content-Type: text/plain; name="ATI.sps"; charset="us-ascii"
Content-Disposition: attachment; filename="ATI.sps"
title 'ATI example -- Pedhazur data p. 464'.
comment ATI= aptitude x treatment interaction.
DATA LIST RECORDS=1
/Y 1 X1 2 X3 3-4.
begin data.
2105
1107
2110
2115
3117
3120
3125
4123
4127
5130
6135
5137
5140
5142
6145
6147
6150
7155
7160
6162
7005
7007
7009
6013
5012
6016
5018
5021
5022
4027
4026
3032
3035
2040
3045
2047
2049
1053
2058
1063
end data.
COMPUTE X4=X1*X3.
VAR LABELS Y,RATINGS OF TEACHERS/
X1,TEACHING STYLE/
X3,TOLERANCE OF AMBIGUITY/
X4,INTERACTION--X1*X3.
VALUE LABELS X1 0 'DIRECTIVE' 1 'NONDIRECTIVE'.
SET WIDTH=80.
condescriptive var=y,x3.
comment regression enters aptitude 1st, treatment 2nd, interaction 3rd.
REGRESSION VARIABLES=Y,X1,X3,X4/
STATISTICS=R,ANOVA,COEFF,CHA/
DEPENDENT=Y/ENTER X3/ENTER X1/ENTER X4.
REGRESSION SELECT X1 EQ 1/
VARIABLES=Y,X3/
STATISTICS=R,ANOVA,COEFF/
DEPENDENT=Y/
ENTER/
SCATTERPLOTS (Y,X3) .
REGRESSION SELECT X1 EQ 0/
VARIABLES=Y,X3/
STATISTICS=R,ANOVA,COEFF/
DEPENDENT=Y/
ENTER/
SCATTERPLOTS (Y,X3) .