Posted by
Bruce Weaver on
Jun 23, 2016; 8:47pm
URL: http://spssx-discussion.165.s1.nabble.com/standardized-odds-ratio-interpretation-tp5732518p5732522.html
I don't understand the results you posted, in that case. How did you standardize the variables? It would help of you posted your syntax for that, as well as syntax to estimate to estimate the two models.
Meanwhile, try the following demonstration.
* Change path below to where you store the sample datasets.
GET FILE='C:\SPSSdata\survey_sample.sav'.
COMPUTE Male = sex EQ 1.
FORMATS Male(F1).
CROSSTABS sex by Male.
* Get Z-score versions of Male and marital status.
DESCRIPTIVES Male marital /SAVE.
* Logistic regression with Y = Male, X = marital (as factor variable).
LOGISTIC REGRESSION VARIABLES Male
/METHOD=ENTER marital
/CONTRAST (marital)=Indicator
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
* Logistic regression with Y = Male, X = Zmarital (as factor variable).
LOGISTIC REGRESSION VARIABLES Male
/METHOD=ENTER Zmarital
/CONTRAST (Zmarital)=Indicator
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
* Logistic regression with Y = Zmale, X = Zmarital (as factor variable).
LOGISTIC REGRESSION VARIABLES Zmale
/METHOD=ENTER Zmarital
/CONTRAST (Zmarital)=Indicator
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
I get exactly the same table of coefficients for all 3 of these models (apart from the value labels for the the maritial variable). Here are my coefficients:
Marital Status B1 B2 B3
Marital status(1) -0.176 -0.176 -0.176
Marital status(2) -1.530 -1.530 -1.530
Marital status(3) -0.332 -0.332 -0.332
Marital status(4) -0.296 -0.296 -0.296
B1 = coefficient from first model
B2 = coefficient from second model
B3 = coefficient from third model
HTH.
Greg wrote
Correct and thank you for the quick reply. I converted my variables to z-scores and then ran the log regression. (All the predictors are categorical.)
--
Bruce Weaver
bweaver@lakeheadu.ca
http://sites.google.com/a/lakeheadu.ca/bweaver/"When all else fails, RTFM."
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