I have applied logit model, where my dependent variable is Emp (Employment) 1 if employed otherwise 0, and used level of education and Health status as independent variables where:
Education consist 6 categories i.e. 1=No Edu, 2= Primary or less Edu, 3=junior Secondary Edu, 4=Senior Secondary Edu, 5=college Edu, and 6=university or equal Edu.
Similarly Health status consists 4 categories: Unhealthy=1, General=2, relatively healthy=3, and very healthy=4.
As I ran logistic regression with no interaction terms I got the significant positive effect (positive coefficients) of both Education and Health on employment status. as I included interaction terms (interaction effect) in my model I found the following coefficients of main effect and interaction effect
Main effect:
Edu=1 (base),
Edu=2 (-.0163406),
Edu=3 (-.2675933**),
Edu=4 (-.5218183**),
Edu=5 (.4170227),
Edu=6 (.0501755)
unhealhy=1 (base),
general=2 (.1313351),
relatively health=3 (-.1436309),
very health=4 (-.2062591)
Interaction effect:
Edu#Health
Edu2#general =(-.0040633),
Edu2#relatively healthy = (.5048051***),
Edu2#very healthy = (.7818021***),
Edu3#general = (.0475367),
Edu3#relatively healthy= (.7332412***),
Edu3#very healthy (=.9944945***),
Edu4#general = (.5539992***),
Edu4#relatively healthy = (1.023986***),
Edu4#very healthy = (.9342315***),
Edu5#general= (-.2833318),
Edu5#relatively healthy = (.2789528),
Edu5#very healthy= (.6588221),
Edu6#general= (.6008378),
Edu6#relatively healthy =(.9638944***),
Edu6#very healthy = (.714199**)
insignificant positive coefficients, significant positive coefficients, insignificant negative coefficients, and significant negative coefficients.
Now I am confuse, how to interpret these results with strong arguments?
Waiting of your valuable comments.