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Soo Owen posted on Sunday, September 30, 2018 - 5:27 pm
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Hi, I ran a multinomial logistic regression analysis in mplus. I am wondering why the p-values for coefficients don't align with those for odds ratios and which p-values I have to use to interpret and report the the results? MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value FNLCLASS#1 ON ASIAN -3.129 0.934 -3.351 0.001 URMS -2.095 0.988 -2.120 0.034 INTLS -1.824 0.546 -3.340 0.001 GEN -0.700 0.533 -1.313 0.189 FNLCLASS#2 ON ASIAN -2.750 0.920 -2.989 0.003 URMS -1.872 0.996 -1.880 0.060 INTLS -0.436 0.542 -0.806 0.421 GEN -0.567 0.542 -1.046 0.296 |
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Soo Owen posted on Sunday, September 30, 2018 - 5:30 pm
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Hi, I ran a multinomial logistic regression analysis in mplus. I am wondering why the p-values for coefficients don't align with those for odds ratios and which p-values I have to use to interpret and report the the results? MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value FNLCLASS#2 ON ASIAN -2.750 0.920 -2.989 0.003 URMS -1.872 0.996 -1.880 0.060 INTLS -0.436 0.542 -0.806 0.421 GEN -0.567 0.542 -1.046 0.296 LOGISTIC REGRESSION ODDS RATIO RESULTS (Est. - 1) Two-Tailed Estimate S.E. / S.E. P-Value FNLCLASS#2 ON ASIAN 0.064 0.059 -15.915 0.000 URMS 0.154 0.153 -5.526 0.000 INTLS 0.646 0.350 -1.010 0.313 GEN 0.567 0.308 -1.407 0.159 |
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Both parts of the outputs assume approximate normality for the statistic (logit/OR). That holds fairly well for the logits but less well for the ORs. For ORs, I would recommend requesting confidence intervals - they will then allow for the non-normality by using non-symmetric intervals. |
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Soo Owen posted on Sunday, September 30, 2018 - 6:46 pm
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Thanks for your prompt reply. So, can I report the significant results based on the coefficient p-values (rather than the OR p-values) and also report the ORs (also CIs for ORs) of the significant coefficient? For example, from my result, the coefficient of URMS is not significant (0.06) but its OR is significant (0.00). So I got confused how to interpret this result. Thanks. |
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If you are going to report ORs, I would report only them and not the logits and I would report the CIs for the ORs and judge whether the CI covers 1 (the neutral point) or not. |
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shonnslc posted on Wednesday, February 19, 2020 - 9:03 am
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Hi, I would like to follow up previous conversation on requesting "confidence intervals - they will then allow for the non-normality by using non-symmetric interval." In this case, should I simply add cinterval in the Output section in my code or I should request bootstrapping CI (Analysis: bootstrap = 1000; Output: cinterval(bootstrap)). Thanks! |
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You should request bootstrapping CI by Analysis: bootstrap = 1000; Output: cinterval(bootstrap)). |
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