Hello everyone,
Below is the syntax I used to estimate the parameters of a conjoint model. Provided below also is the sample output of the syntax. ( Please dont bother of the large standard errors in the outputs because these are just hypothetical data.)
The syntax provides the mean utility and standard error for each factor category. Is there a way to compute the p-value associated for each mean utility and standard error. That is, can we add a line in the syntax asking spss to compute the p-values?
Or, as an alternative, is there a way to compute the p-value using only the mean and standard error?
Thanks.
Eins
CONJOINT PLAN 'c:\eins\Design2.sav'
/DATA 'c:\eins\dataforanalysis.sav'
/RANK = com_1 to com_12
/SUBJECT=Res#
/FACTORS CurrOff(discrete) Tuition(discrete less) Location Program Prof Instruction Facility ClassSched
/PLOT SUMMARY.
Sample Outputs:
|
Utilities |
|
|
|
Utility Estimate |
Std. Error |
|
CurrOff |
MBA & Doctoral Degrees |
1.667 |
1.126 |
|
Double Courses for MBA |
-1.667 |
1.126 |
|
Tuition |
P1500 Below |
-.667 |
1.126 |
|
P1500 Above |
.667 |
1.126 |
|
Location |
University Belt |
-.167 |
1.126 |
|
Near Place of Work |
.167 |
1.126 |
|
Program |
With Thesis |
.333 |
1.126 |
|
None-Thesis |
-.333 |
1.126 |
|
Prof |
Doctoral Degree Full-time Academician |
-.500 |
1.126 |
|
Doctoral Degree with Industry Experience |
.500 |
1.126 |
|
Instruction |
Online |
-1.833 |
1.126 |
|
Classroom |
1.833 |
1.126 |
|
Facility |
Library Internet & Manual Payment System |
-.833 |
1.126 |
|
Library Internet & Online Payment System |
.833 |
1.126 |
|
ClassSched |
Weekdays & Weekends |
.667 |
1.126 |
|
Weekends Only |
-.667 |
1.126 |
|
(Constant) |
6.500 |
1.126 |
|
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