I am conducting analysis on timely utilization of ANC and number of ANC by social demographic and husband characteristics of women.
The dependent variables are two:
Number of ANC - categorical (no ANC, don't know, less than 3, 4-7, greater than 8)
Time of ANC - months of initiation (early, late, don't know, no ANC).
The independent VARIABLES are much consisting of women social demographic information and husbt characteristics.
I have discovered that the grand option I am going to use is multinomial logistics regression. But
I have question.
should I run two dependent variable of time of ANC and number of ANC at the same time with the independent VARIABLES using multinomial logistics regression
Should i run number of ANC
with social demographic and husband separately, and time of ANC with social demographic and husband characteristics separately on the multinomial logistics regression
.
Hi,
The two different Dependent variables need two separate multinomial regression analyses.
If you can combine both the dependent variables (ex: Number of ANC X Time of ANC).then one analysis would be sufficiently provided that the standard errors are low i.e sufficient number of cases are there for each of the nominal representations
Thanks. May be that is what I will go for analyzing the dependent variables separately. I even discovered that SPSS multinomial logistics regression lack the ability to allow two dependent variables.
Although, I was enthusiastic when I learnt about multivariate binomial logistics regression in one journals, and I thought it will solve it. But may be not.
Thanks for your response.
Multinomial logistic regression is a model of anlysis where dependent variable is categorical with more than two categories and had no sense ordinal property.Therefore you should analysis these two variables separately using multinomial logistic regression
.
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