Hi Guys, yet another thing that I am not too sure about in spss, I am trying to run a binary logistic regression and in defining my categorial independent variable , I am unsure how differently the results of indicator and Simple contrasts are interpreted.... I know that Simple compares each group with the reference category so the Odds ratio that I get for each group of my categorical variable is in comparison with the reference category,,,,but what are the Odds ratios indicates if i choose indicator as the method of contrast?
Thanks as always. |
I've been reading about this and can't really find how the output will be different if i select simple vs. indicator...exhausted my reading options..if anyone can shed light on this for me, will be much appreciated.
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Have you looked standard reference texts yet? It doesn't matter whether the text is about Gauss (normal) regression or logistic regression because your question is about the IVs. And, here is a website link that may be helpful
http://www.ats.ucla.edu/stat/sas/webbooks/reg/chapter5/sasreg5.htm Gene Maguin -----Original Message----- From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of devoidx Sent: Wednesday, October 09, 2013 3:39 PM To: [hidden email] Subject: Re: Difference between Simple and Indicator in logistic regression I've been reading about this and can't really find how the output will be different if i select simple vs. indicator...exhausted my reading options..if anyone can shed light on this for me, will be much appreciated. -- View this message in context: http://spssx-discussion.1045642.n5.nabble.com/Difference-between-Simple-and-Indicator-in-logistic-regression-tp5722455p5722467.html Sent from the SPSSX Discussion mailing list archive at Nabble.com. ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
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In reply to this post by devoidx
I just tried this quick example:
NEW FILE. DATASET CLOSE all. DATA LIST list / marital Male Kount (3f5.0). BEGIN DATA 1 0 727 1 1 619 2 0 232 2 1 51 3 0 258 3 1 188 4 0 53 4 1 40 5 0 329 5 1 334 END DATA. WEIGHT by Kount. 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 VARIABLES male /METHOD=ENTER marital /CONTRAST (marital)=Simple /PRINT=CI(95) /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5). Here is the Categorical Variable Coding table for the first model with Indicator contrast type: Marital P1 to P4 1 1 0 0 0 2 0 1 0 0 3 0 0 1 0 4 0 0 0 1 5 0 0 0 0 And now for the second model with Simple contrast type: Marital P1 to P4 1 .8 -.2 -.2 -.2 2 -.2 .8 -.2 -.2 3 -.2 -.2 .8 -.2 4 -.2 -.2 -.2 .8 5 -.2 -.2 -.2 -.2 Finally, from the FM entry for Logistic Regression > CONTRAST Subcommand: INDICATOR(refcat). Indicator variables. Contrasts indicate the presence or absence of category membership. By default, refcat is the last category (represented in the contrast matrix as a row of zeros). To omit a category (other than the last category), specify the sequence number of the omitted category (which is not necessarily the same as its value) in parentheses after the keyword INDICATOR. SIMPLE(refcat). Each category of the independent variable (except the last category) is compared to the last category. To use a category other than the last as the omitted reference category, specify its sequence number (which is not necessarily the same as its value) in parentheses following the keyword SIMPLE. I understand the OP's confusion: The description for Simple does not seem to match the coefficients in the Categorical Variables Coding table!
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Bruce Weaver bweaver@lakeheadu.ca http://sites.google.com/a/lakeheadu.ca/bweaver/ "When all else fails, RTFM." PLEASE NOTE THE FOLLOWING: 1. My Hotmail account is not monitored regularly. To send me an e-mail, please use the address shown above. 2. The SPSSX Discussion forum on Nabble is no longer linked to the SPSSX-L listserv administered by UGA (https://listserv.uga.edu/). |
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See also:
http://listserv.uga.edu/cgi-bin/wa?A2=ind9912&L=spssx-l&P=12247 http://www.ats.ucla.edu/stat/spss/library/contrast.htm On the first of those pages, notice this advice from John Hendrickx: "The bottom line: use the indicator contrast. Same estimates, easier predicted values." I concur!
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Bruce Weaver bweaver@lakeheadu.ca http://sites.google.com/a/lakeheadu.ca/bweaver/ "When all else fails, RTFM." PLEASE NOTE THE FOLLOWING: 1. My Hotmail account is not monitored regularly. To send me an e-mail, please use the address shown above. 2. The SPSSX Discussion forum on Nabble is no longer linked to the SPSSX-L listserv administered by UGA (https://listserv.uga.edu/). |
Thanks a bunch Bruce, yeah I am gonna stick with indicator since it is the default anyways but was just curious, I'll post back if i come across some literature that describes the difference between these two contrasts.
By the way Bruce, did you get the same EXP(B) [odds ratio] values in both contrast models? that is the part that i was mostly curious about, and whether the odds ratios are interpreted differently in indicator vs. simple. I would try your sample code myself but my spss is tied up right now and probably will be till tomorrow morning around noon. Thanks again! |
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"I would try your sample code myself but my spss is tied up right now and probably will be till tomorrow morning around noon."
NOTE: One can launch multiple sessions of SPSS!
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In reply to this post by devoidx
From the first model (with Indicator contrasts):
B SE -0.176 0.095 Marital(1) -1.530 0.173 Marital(2) -0.332 0.123 Marital(3) -0.296 0.223 Marital(4) 0.015 0.078 Constant From the second model (with Simple contrasts): B SE -0.176 0.095 Marital(1) -1.530 0.173 Marital(2) -0.332 0.123 Marital(3) -0.296 0.223 Marital(4) -0.452 0.059 Constant So the only difference in the parameter estimates is for the Constant.
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Bruce Weaver bweaver@lakeheadu.ca http://sites.google.com/a/lakeheadu.ca/bweaver/ "When all else fails, RTFM." PLEASE NOTE THE FOLLOWING: 1. My Hotmail account is not monitored regularly. To send me an e-mail, please use the address shown above. 2. The SPSSX Discussion forum on Nabble is no longer linked to the SPSSX-L listserv administered by UGA (https://listserv.uga.edu/). |
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