atomcamp

Experimental and Quasi-Experimental Evaluation Methods

Fee: PKR 4,000

What you'll learn

  • In-depth understanding of experimental designs
  • Critically evaluate quasi-experimental designs
  • Differentiate between correlational and causal studies
  • Develop the ability to design and conduct program evaluations

Course Description

The course will cover important aspects and methods of a results-based research framework. It will cover methods that at the frontier of monitoring and evaluation methods – such as randomized control trials and lab-in-field-experiments, as well as quasi experimental methods that attempt to uncover causal pathways in programs and policies; and identify the strengths and weaknesses of each method

Course Content

    • Understanding why we evaluate
    • Why do we conduct experiments
    • Setting up RCTs
  • The use of field and lab experiments

 

Topic 1: Multivariate regressions and matching techniques

  • Why do we conduct multivariate regressions?
  • Matching techniques to develop a counterfactual

 

Topic 2: Difference in differences and instrumental variables

  • The use of DID techniques to uncover causal relations
  • Instrumental variables as an identification technique

 

Topic 3: Regression discontinuity designs

  • Use and practicalities of RDD
  • Identifying the strengths and weaknesses of the methods discussed in the course

Trainer

Farah Said

Frequently Asked Questions

Students, with an undergraduate degree; entry-to-mid level program managers, researchers and development professionals.

Status: Siap