Hi,
I am measuring the effect an individual's perception on equality in educational opportunities has on the impact of socioeconomic background on likelihood of degree attainment. I have used parents occupations and educations as measures of socioeconomic background and included two variables that measure an individuals perception on equality in educational opportunities.
I am running a logit model with these categorical independent variables, but I was told to use the i. prefix to split the categories up by my supervisor (this is for an empirical research project).
However, each categorical variable has 10 categories and I have about 6 of those variables. This means that the regression has about 60+ categories, which is where my issue lies as I am unsure as to whether I need to interpret all of them. Even if I only include the significant coefficients, there are still so many. Any guidance as to how I should move forward to be able to write up my results section would be appreciated!
I am also slightly unsure as to whether it's best to be using odds ratios, normal logit coefficients or marginal effects to run my regressions and explain my results?
Any help or insight would be greatly appreciated!
I am measuring the effect an individual's perception on equality in educational opportunities has on the impact of socioeconomic background on likelihood of degree attainment. I have used parents occupations and educations as measures of socioeconomic background and included two variables that measure an individuals perception on equality in educational opportunities.
I am running a logit model with these categorical independent variables, but I was told to use the i. prefix to split the categories up by my supervisor (this is for an empirical research project).
However, each categorical variable has 10 categories and I have about 6 of those variables. This means that the regression has about 60+ categories, which is where my issue lies as I am unsure as to whether I need to interpret all of them. Even if I only include the significant coefficients, there are still so many. Any guidance as to how I should move forward to be able to write up my results section would be appreciated!
I am also slightly unsure as to whether it's best to be using odds ratios, normal logit coefficients or marginal effects to run my regressions and explain my results?
Any help or insight would be greatly appreciated!
Comment