I'm planning to do a survey with students (age around 16) with questions/answer-possibilities that have been 'proven' to be significant indicators of student success/good grades. So, I'm not really interested in the relationship of the variables to the outcome, instead, I want to feed the data of the survey to a machine learning algorithm to check the algorithm's correctness.
Instead of coming up with the questions of the survey myself, I would like to ground them academically, i.e.: based on academic literature. I don't need very 'original' ones, the significance of the variables themselves is not the focus of my research (actually, I want 'proven' significant variables).
Best case scenario would be to find a canonical list of survey questions and answer-possibilities which have been 'proven' to be influential (significant) indicators of student success/grades, from which I can take the ones appropriate for my research.
Another thing that would be help me is a source which discusses good and bad practices for setting up a survey such as mine (which might also point me to the questions I want to ask).
I have found some papers, such as (Sykes & Kuyper, 2009) about predicting student success/grades, from which I can pick some variables/questions, but none of them were close enough to my case to be fully satisfactory for my purpose. If anyone can help me with a good paper that investigates roughly the same as my research, this would also help, as I might then base my survey (partly) on this research.