Hey community,
In my work, I use the concept of "cultural capital" as a mediator (M). Here I use several variables (e.g. number of books at home, language competence, quantity of reading, etc.) as indicators for "cultural capital".
My model is as follows:
Migration background [dichotomous] (X) ----------------------------> educational choices [continuous] (Y)
-----------> cultural capital (M)->
My question here is how do I proceed with my concept (M) and its large number of indicators in an OLS regression analysis in Stata? Would I have to end up treating every single indicator for my concept (M) as a mediator or is there a way to group all variables together somehow? However, I cannot create a single index with all the variables, as they do not all have the same scaling and it would not make sense to rescale all of them just a few, so I would have less variables but for my taste still too much to do a mediation analyses with Stata.
Thanks for your help already!
Ferris
In my work, I use the concept of "cultural capital" as a mediator (M). Here I use several variables (e.g. number of books at home, language competence, quantity of reading, etc.) as indicators for "cultural capital".
My model is as follows:
Migration background [dichotomous] (X) ----------------------------> educational choices [continuous] (Y)
-----------> cultural capital (M)->
My question here is how do I proceed with my concept (M) and its large number of indicators in an OLS regression analysis in Stata? Would I have to end up treating every single indicator for my concept (M) as a mediator or is there a way to group all variables together somehow? However, I cannot create a single index with all the variables, as they do not all have the same scaling and it would not make sense to rescale all of them just a few, so I would have less variables but for my taste still too much to do a mediation analyses with Stata.
Thanks for your help already!
Ferris
