Reply
Fri 10 Nov, 2017 11:15 am
Dear experts,
I have data of students of MBBS for 3rd year (3 sessions) different students each year. I want to check if their any relation between attendance and marks of students. Please guide which test can be used for this purposr.
Regards
@mahju,
I suggest you use a non parametric test of correlation since the data is likely to be ordinal. eg 'Spearman Rho'.
You will find details via Google.
@fresco,
Thanks for quick answer.
Some more explanation:
I have students attendance %age in one column and marks obtained in another column.
Regards
@mahju,
Yes. Since the marks are scores 'as judged by markers', they can only be classed as 'ordinal' data, and not 'interval data', hence choice of a nonparametric test to investigate correlation of rankings.
@fresco,
Thanks
I have checked in google.
I have a big data one class have almost 300 students and there are 3 sessions, so at least 900 pairs of data. Can I use this test for big data. Also please guide how to interpret this coefficient (rho)
Regards
@mahju,
Its a long time since I used this test so I'm not sure whether there are restrictions (probably not). But in order to reduce the work load you might be justified in collapsing scores into say 5% bands versus average attendances per score band. You are then only dealing with say 20 pairs of rankings.
Hope this helps.
@fresco,
Thanks for your time & sugession