Posted by
msherman on
Aug 23, 2017; 8:20pm
URL: http://spssx-discussion.165.s1.nabble.com/Big-odds-ratio-in-binary-regression-output-tp5734731p5734752.html
If the base rate for one of the target cells is not low you might find a very high OR
For instance
20 10
1 30
The OR for Cell 1 1 would be (20/10)/(1/30) = 2/.033 = 60. Not sure that this is the problem. Odd ratios tend to overestimate the relative risk whenever the base rate is not low. MTC. Martin Sherman
Martin F. Sherman, Ph.D.
Professor of Psychology
Director of Masters Education: Thesis Track
Loyola University Maryland
4501 North Charles Street
222 B Beatty Hall
Baltimore, MD 21210
410 617-2417
[hidden email]
-----Original Message-----
From: SPSSX(r) Discussion [mailto:
[hidden email]] On Behalf Of Maguin, Eugene
Sent: Wednesday, August 23, 2017 4:03 PM
To:
[hidden email]
Subject: Re: Big odds ration in binary regression output
Yes.
I'm a bit confused with your message because you say " It seems that the items which pertain to interpersonal care for instance "were you treated with respect and courtesy?" have high correlations with DV (.4 to .61) ..." and then a bit later you say " But one particular item of the factor "do you think that the healthcare personnel took care of you and your child?" may have been interpreted in the same sense as the question measuring DV. This particular item has a phi correlation of .61 with DV and also very few responses in one cell." Is there just one item with a .61 correlation or two items, both with a .61 correlation?
I just saw your most recent message about removing the item with the high correlation. I'm guessing that means there is only one high correlation item. True?
There's something going on and I'm not sure what it is. If I were talking with somebody here, where I am, who was having this same problem, I'd be asking to see the prior analyses. I hope that you have somebody there that could go through the complete analysis story with you.
Gene Maguin
-----Original Message-----
From: SPSSX(r) Discussion [mailto:
[hidden email]] On Behalf Of Sidra
Sent: Wednesday, August 23, 2017 2:05 PM
To:
[hidden email]
Subject: Re: Big odds ration in binary regression output
Eugene and Ulrich, thanks for your valuable suggestions. I have tried looking at the individual items of the problem predictor variable "Interpersonal communication and care" and their correlations with DV through Phi correlations (individual items were measured at binary level). It seems that the items which pertain to interpersonal care for instance "were you treated with respect and courtesy?" have high correlations with DV (.4 to .61)whereas the items of this same factor which pertain to communication part such as "were you given sufficient information regarding care of the newborn?" have moderate correlation with DV( ranging from .2 to .4). I want you to note that the DV was measured using a single item worded as "All in all, were you satisfied with the services you received during your stay in the hospital?" with response options of yes and no. As far as I can think, I don't see any replication of ideas here. But one particular item of the factor "do you think that the healthcare personnel took care of you and your child?" may have been interpreted in the same sense as the question measuring DV. This particular item has a phi correlation of .61 with DV and also very few responses in one cell. Should I try removing this item, calculate the factor score again, dichotomize and look at the changed odds ratio ?
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