STATISTICS SHORT COURSES FOR IMPACT EVALUATION FROM 10TH DECEMBER UP TO 14TH DECEMBER 2019 TO BE HELD IN SUALISA CONFERENCE ROOM AT iAGRI BUILDING-SUA MAIN CAMPUS

Sokoine University of Agriculture Laboratory for Interdisciplinary Statistical Analysis (SUALISA) would like to announce to the SUA community and to the general public that it will offer short courses in statistics between 10th DECEMBER  up to 14th DECEMBER  2019. 

Registration for the short course

The registration fee is 30,000/=Tshs, per a day. Registration would be made upon your arrival in a venue at iAGRI building. Please notice that the fee does not cover cost for lunch. Each peson will cover his/her own cost for lunch.

Contact   Maria Celestine via the following address to confirm your participation. 
Email:   mary.b.celestine@gmail.com
Mobile: 0713-301033

Who should attend?

Any scholar/researcher such as a  postgraduate student /instructor/project manager/quality controller/evaluator /M&E officer  e.t.c  is highly encouraged to attend. You are all welcomed to attend.

How you will benefit from the course(s)

Each course 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, Sokoine University of Agriculture, Main Campus

Absract

Research is all about providing evidence for existence of a certain hypothesized scenario. However providing evidence in some  discplines  especially in social science  is not as easy as one could think. Evidence can easily be given in experimental studies involving among others the principle of randomization. Unfortunately, randomization is not always possible especially in studies involving human beings. The question therefore is how do we provide evidence of causation in social science studies? Please come and learn/discuss one among the  interesting topics  in Statistics. This time  around Statistical methods for Impact Evaluation will be taught wih a case study on ‘Impat of free education policy on secondary schools’ education performance”. Apart from Impact Evaluation, Introduction to STATA shall  be taught as a pre-requiste. In addition  R softwares will also be taught.

You are warmly welcomed !

TIMETABLE

Date

Time

Session

Trainer

10/12/2019

9am to 11am

Introduction to Statistics

Miss Farida/Dr.Kazuzuru

 

11am to 12pm

Introduction to STATA

Miss Farida/Dr.Kazuzuru

 

12pm  to  1pm

Lunch Break

 

 

1pm    to  3pm

Introduction to R

Mr.Issa Mohamed/Miss Farida

11/12/2019

9am to 11am

Introdution to  R

Mr.Issa Mohamed/Miss Farida

 

11am-12pm

Graphics with R

Mr.Issa Mohamed/Miss Farida

 

12pm to 1pm

Graphics with R

Mr.Issa Mohamed/Miss Farida

 

1pm   to 3 pm

Analysis with R

Mr.Issa Mohamed

12/12/2019

9am to 11am

Introduction to Statistical Mehods for Impact Evaluation

Dr.Kazuzuru

 

11am to 12pm

Inroduction to Multiple linear regression as a method for Impact Evaluation

Dr.Kazuzuru

 

12pm to 1pm

Lunch Brak

 

 

1pm to 3pm

Introction to Propensity Score matching

Dr.Kazuzuru

13/12/2019

9an-11am

Difference in Difference Method

Dr.Kazuzuru

 

11am-12pm

Difference in Difference Method with panel data regression

Dr.Kazuzuru

 

12pm -1pm

Lunch Break

 

 

1pm- 3pm

Randomized Control Trial

Dr.Kazuzuru

14/12/2019

9am-11am

Instrumental Variable Technique as method for Impact Evaluation

Dr.Kazuzuru

 

11am-12pm

Instrumental Variable Technique as method for Impact Evaluation

Dr.Kazuzuru

 

12pm-1pm

Lunch break

All                      

 

1pm- 3pm

Regression Discontinuity Design (RDD) as a method for Impact Evaluation

Dr.Kazuzuru

 

3pm-  6pm

Regression Discontinuity Design(RDD)  as a method for Impact Evaluation

Dr.Kazuzuru

 

Like & Share this page