Dependent and independent variables

[starpen]

Hey guys.

I'm doing my masters and I'm trying to get the hang of statistics in social sciences. I have this one data set, where I'm looking at the relationship between different types of jobs and after-education in the different job types (yes/no).

It's then I get a little confused. As far as I understand, the independent variable is the job types, since I can chose as many job types as I want or change my focus on them and the dependent value then is after-education yes/no, since that doesn't change.

Did I get it right?

Thanks in advance and look forward to adding to the environment in here

 

[noetsi]

I am not sure what you mean by "change". The independent variable is what explains variation in the dependent variable. Which is causing the action in your model?

 

[starpen]

My H1 is, that different job types result in different "feelings" towards after-education. In this case, job-types causes the difference in yes/no to after-education. In this way, job-types are independent and after-education is dependent, right?

 

[noetsi]

Yes.

What is "after-education", views of the value of education, views on additional education? I was wondering why you assigned this a yes/no response?

 

[starpen]

Great. Guess I get it

No, after-education is specified as extra education when "arrived" at the job you currently hold. More expertise in the specific job you hold. So it is simple yes/no because the question was: "Have you had after-education". Of cause specified more, but that is the essence of it.