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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 |
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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 ************************************************************ ===================== 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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