Posted by
Maguin, Eugene on
Aug 23, 2017; 1:23pm
URL: http://spssx-discussion.165.s1.nabble.com/Big-odds-ratio-in-binary-regression-output-tp5734731p5734732.html
Perhaps you've already checked this but one line of checking is the impact of of missing data. How many records do you lose as each IV is entered and how does that loss divide between the two DV categories. The other line of checking is to crosstab that variable against the DV to see what the bivariate odds ratio is.
Gene Maguin
-----Original Message-----
From: SPSSX(r) Discussion [mailto:
[hidden email]] On Behalf Of Sidra
Sent: Wednesday, August 23, 2017 9:08 AM
To:
[hidden email]
Subject: Big odds ration in binary regression output
Dear fellows, I have run binary logitic regression in spss with 7 IVs (dichotmized). My DV is "dissatisfied with cildbirth care" with response options of 1=yes and 0=no. One of the Independent variables is "interpersonal care and communication" (0=High, 1= Low). When I get the output for binary regression, all the statistics seem normal except the odds ratio of "interpersonal communication and care". All ORs are in the range of
0.173 and 3.251, however OR for interpersonal communication and care is 23 which to me seems exceptionally large (If I'm right in believing so). The dichotomous response for this variable has been obtained from its factor score. All the VIFs and Tolerance values seem fine indicating that the problem of multicollinearity doesn't exist. My sample size is 317 with 52 responses in the outcome category that I want to predict (dissatisfaction).
Could anybody point out to any other problems I might have in the data owing to which the huge OR is observed (if it is huge at all).
Furthermore, I would like to know that what statistics of binary regression output should I report while writing the results.
Thanks
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