Solved – Power analysis for a multinomial logistic regression

multinomial-distributionregressionstatistical-power

How do I conduct a power analysis for a multinomial logistic regression analysis? I have 1 independent variable (with 3 levels) and 1 dependent variable (with 2 levels). All variables are continuous. I cannot do ordinal.

Thanks!

Best Answer

"All variables are continuous" is inconsistent with each variable having either 2 or 3 levels. Moreover, with just 2 non-ordinal variables, instead of using regression, you might be better off looking at chi-square and its related measures of association such as Cramer's V.

Related Solutions

Solved – Predicted probabilities for multinomial logistic regression

If I understand the question, couldn't you simply run

testus2        <- multinom(c~a)
predictors    <- expand.grid(a=c("1","2","3","4","5"))
p.fit         <- predict(testus, predictors, type='probs')
probabilities <- data.frame(predictors,p.fit)

and similarly for b?

If this is not what you want, please explain further.