In: Statistics and Probability
What is a loglinear model in categorical data analysis?
Answer:
log linear model in categorical data
analysis:
Log-linear models go beyond a single summary statistics and specify how the cell counts depend on the levels of categorical variables
The log-linear modeling is natural for Poisson, Multi nomial and Product-Mutlinomial sampling.
They model the association and interaction patterns among categorical variables.
Thus far in the course we have alluded to log-linear models several times, but have never got down to the basics of it.
Log-linear models go beyond a single summary statistics and specify how the cell counts depend on the levels of categorical variables.
single summary statistics, and with significance testing
log it model for A with only an intercept;
log it model for A with a main effect for D;
log it model for A with a main effect for S;
log it model for A with a main effects for D and S; and
log it model for A with main effects for D and S and the D × S interaction.