As researchers (PhD students, masters students and instructors), we often faces problems when it comes to a choice of a sample size needed for a study. This is a problem to researchers from all the disciplines (Economics, Development Studies, Business Forestry, Animal Sciences, Vert and the rest. Too few subjects/items could jeopardize the study findings leading to non-rejection of the proposed hypothesis and ending up with wrong conclusions. At the same time improper adherence to the principles of survey designs could also increase the sampling error leading again to the same problem.
Unfortunately most of us choose a sample size and collet the survey data carelessly and proudly draw conclusions from our studies without ensuring that our studies have adhered to such principles. This is a problem to both the students and the supervisors (experience from SUALISA!!!)
An expert from SUALISA would be discussing among other things key steps for survey designs and the principles of sample size calculation. Come for listening and/or discussing such interesting issues in the academia world.
You will be introduced to among other things, different sample size formulae, and the logic behind them and where and how should they be used.
The registration fee is 10,000/=Tshs, per a course. Registration would be made upon your arrival in a venue at iAGRI building. Please contact Maria Celestine via the following address to confirm your participation and your course of interest: Email: email@example.com
, Mobile: 0713-301033
Who should attend?
Postgraduate students and instructors are highly encouraged to attend. You are all welcomed to attend.
How you will benefit from the course(s)
Each course is a two-hour course, which will provide participants with practical skills to be able to effectively implement a real-life related problem needing statistical skills application.
The venue for all of these courses would be in iAGRI building