Sokoine University of Agriculture Laboratory for Interdisciplinary Statistical Analysis (SUALISA) was endorsed by the University Senate on the 17th March 2014 and started its operations formally on 9th December 2014 . Though it has a coordinator, officially it is under the Department of Mathematics, Informatics and Computational Sciences.
One of SUALISA main activities is to deliver short courses training in statistics and in statistical packages to graduate students and researchers at SUA and employees in the public and private sectors.
SUALISA would like to announce to the SUA community and to the general public that it would be offering short courses on Impact Evaluation studies using STATA software from Monday 17th December to Friday 21st Dcember 2018 at iAGRI building between 4pm and 6pm. You are all invited to attend.
Abstract
As researchers (PhD, masters students and instructors), we often faces problem when it comes to establish causation. This being especially the case for researchers in social sciences (Economics, Development Studies, Business and Humanity). Professor Ronald Fisher developed three principles of an experimental design (replication, randomization and error control) which when applied to an experiment guarantees a researcher to establish causation of a treatment in a given experiment. Experiments utilizing such principles, especially randomization are plausibly possible in Biostatistics/Biometry and rarely conceivable in social sciences!
Unfortunately most of us apply carelessly the t-tests, ANOVA tests and the like 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!!!)
However in some cases, randomization is nearly impossible especially in social sciences studies. How do we then establish causations under such scenarios?? There is misconception among students that Impact Evaluation studies are different from scholarly studies, No! they are one and the same. A true scholar will seek evidence to ascertain his/her study conclusions.
Come for listening and/or practicing Impact evaluation studies which usually seek evidence for an effectiveness of a particular program/Intervention on the targeted individuals.
Registration
The registration fee is 20,000/=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: mary.b.celestine@gmail.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.
Venue: The venue for all of these courses would be in iAGRI building
|
Day |
Course Title |
Date |
Trainer |
|
|
1 |
Introduction to SPSS and STATA |
17/12/2018 |
Dr.Kazuzuru |
|
|
2 |
-An overview of Statistical Methods for Impact Evaluation studies
|
18/12/2018 |
Dr.Kazuzuru |
|
|
3 |
Introduction to OLS as a method for Impact evaluation |
19/12/2018 |
Dr.Kazuzuru |
|
|
4 |
Introduction to difference in difference estimator and panel data regression analysis |
20/12/2018 |
Dr. Kazuzuru |
|
|
5 |
Introduction to Propensity Score Matching (PSM) |
21/12/2018 |
Dr.Kazuzuru |
|
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