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I would like to look at every comparison for a 4-category independent variable in a binary logistic regression model. Is there a way to do this? Thank you, Jean Hanson |
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Jean Hanson WROTE:
> > > Dear SPSS Listers, > > I would like to look at every comparison for a 4-category independent > variable in a binary logistic regression model. Is there a way to do this? > > Thank you, > > Jean Hanson > Simplifying things a bit: since the variable has 4 levels, it has 3 degrees of freedom, therefore only three "legitimate" contrasts are possible, you can't run all pairwise comparisons, as a post-hoc test after a significant ANOVA. I suppose that you can run different logistic regression models, choosing different coding methods for the independent variables until every comparison is covered (INDICATOR(1), INDICATOR(2), INDICATOR(3)), but I don't think that's a good idea, from a purely statistical point of view. If you are running a simple regression model (not multiple) you could use contingency tables analysis with pairwise comparisons (CTABLES) with Bonferroni adjustment HTH, Marta GG -- For miscellaneous SPSS related statistical stuff, visit: http://gjyp.nl/marta/ ===================== 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 Jean Hanson
Jean,
One can easily obtain all possible pairwise contrasts in *one run* using any number of subcommands in SAS 9.2, depending on the procedure employed. My hope is that future versions of SPSS will offer such subcommands. Someone correct me if this is actually possible in the latest version. Assuming I am correct that it is not possible, I think Marta's suggestion of rerunning the analysis using different reference categories for your categorical variable is likely the easiest approach. Ryan
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In reply to this post by Marta Garcia-Granero
Marta, Thank you for your response.
Is there any way to look at all comparisions with contrast statements in SPSS?
Thanks, Jean > > > Dear SPSS Listers, > > I would like to look at every comparison for a 4-category independent > variable in a binary logistic regression model. Is there a way to do this? > > Thank you, > > Jean Hanson > Simplifying things a bit: since the variable has 4 levels, it has 3 degrees of freedom, therefore only three "legitimate" contrasts are possible, you can't run all pairwise comparisons, as a post-hoc test after a significant ANOVA. I suppose that you can run different logistic regression models, choosing different coding methods for the independent variables until every comparison is covered (INDICATOR(1), INDICATOR(2), INDICATOR(3)), but I don't think that's a good idea, from a purely statistical point of view. If you are running a simple regression model (not multiple) you could use contingency tables analysis with pairwise comparisons (CTABLES) with Bonferroni adjustment HTH, Marta GG -- For miscellaneous SPSS related statistical stuff, visit: http://gjyp.nl/marta/ ===================== 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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Jean Hanson wrote:
> > > > Is there any way to look at all comparisons with contrast statements > in SPSS? > I've already told you : run several logistic regression models modifying the coding scheme for the IV: INDICATOR(1), INDICATOR(2), INDICATOR(3) Best regards, Marta GG > > > > > > Jean Hanson WROTE: > > > > I would like to look at every comparison for a 4-category independent > > variable in a binary logistic regression model. Is there a way to do > this? > > ===================== 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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Administrator
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In reply to this post by Ryan
Hi Ryan. I don't have time to try it right now, but I wonder if you could do this if you ran your logistic regression via GENLIN (with binomial error distribution & logit link)? I see that the EMMEANS sub-command for GENLIN has pairwise contrasts as the default. The Help File example is:
GENLIN y BY a b c … /EMMEANS TABLES=a*b*c COMPARE a*b CONTRAST=PAIRWISE. The specified contrast performs pairwise comparisons of all level combinations of factors A and B, for each level of factor C. IIRC, one can also use "EMMEANS COMPARE" on a single factor, rather than on an interaction term as in that example. I.e., I think that this: GENLIN y BY a b c … /EMMEANS TABLES=a COMPARE CONTRAST=PAIRWISE. would give you all pairwise comparisons of the levels of factor A. Bruce
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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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Hi Bruce,
I looked at this option last night, but I didn't suggest it because I thought the contrasts were on the probability scale, rather than the logit scale. Anyway, the following code does provide all possible pairwise comparisons, I think testing for differences between groups in probabilities: GENLIN y (REFERENCE=LAST) BY group (ORDER=ASCENDING) /MODEL group INTERCEPT=YES DISTRIBUTION=BINOMIAL LINK=LOGIT /EMMEANS TABLES=group COMPARE=group CONTRAST=PAIRWISE /PRINT CPS DESCRIPTIVES MODELINFO FIT SUMMARY SOLUTION (EXPONENTIATED). Ryan
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Administrator
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Ryan, for each group (but the last) versus the last, you'll have Wald tests in your table of coefficients, and you'll have the tests that are done via EMMEANS. How do the p-values compare for those k-1 contrasts?
Bruce
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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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Bruce,
The p-values are similar but not the same. Ryan
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