Ordinal Regression - test of parallel lines problem

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Ordinal Regression - test of parallel lines problem

Katina Dimoulias
Hello,

I have run a number of ordinal regression analyses with different sets of
predictor variables and I continue to get the below results for the Test of
Parallel Lines.  My predictor variables have 3 ordered levels and DV has 2
ordered levels.  Can someone please give advice as to what I may be doing
wrong and how I can fix it or if these are legitimate results (from what I
have read and understood they seem not to be) that I am getting?

Test of Parallel Lines(a)

Model-2 Log LikelihoodChi-SquaredfSig.
Null Hypothesis20.693
General20.693.0000.
The null hypothesis states that the location parameters (slope
coefficients) are the same across response categories.
a  Link function: Complementary Log-log.

Your advice will be greatly appreciated,

Katina

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Re: Ordinal Regression - test of parallel lines problem

Henrik Lolle
Hi Katina,

Actually, it's your dependant variable that should be ordinal scaled in
this type of regression, not the independant. The dependant variable in
this analysis of yours is a dummy, so you will get the same results in
ordinary logistic regression and it gives no meaning to test for
parallel lines because there is only one.

Best,
Henrik

Quoting Katina Dimoulias <[hidden email]>:

> Hello,
>
> I have run a number of ordinal regression analyses with different sets of
> predictor variables and I continue to get the below results for the Test of
> Parallel Lines.  My predictor variables have 3 ordered levels and DV has 2
> ordered levels.  Can someone please give advice as to what I may be doing
> wrong and how I can fix it or if these are legitimate results (from what I
> have read and understood they seem not to be) that I am getting?
>
> Test of Parallel Lines(a)
>
> Model-2 Log LikelihoodChi-SquaredfSig.
> Null Hypothesis20.693
> General20.693.0000.
> The null hypothesis states that the location parameters (slope
> coefficients) are the same across response categories.
> a  Link function: Complementary Log-log.
>
> Your advice will be greatly appreciated,
>
> Katina
>
> =====================
> 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
>



************************************************************
Henrik Lolle
Department of Economics, Politics and Public Administration
Aalborg University
Fibigerstraede 1
9200 Aalborg
Phone: (+45) 99 40 81 84
************************************************************

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