- Inter-faculty Studies in Bioinformatics and Systems Biology
- Bachelor's degree, first cycle programme, Computer Science
- Bachelor's degree, first cycle programme, Mathematics
- Master's degree, second cycle programme, Bioinformatics and Systems Biology
- Master's degree, second cycle programme, Computer Science
- Master's degree, second cycle programme, Mathematics
(in Polish) Eksperymenty w badaniach efektów polityk publicznych 4208-EBEPP-OG
Topics discussed in the course will include the following.
(1) The idea of evaluation, its functions, its place in the public policy cycle - why, when and what kind of evaluations we conduct.
(2) Research questions and evaluation criteria - what we actually evaluate.
(3) Evaluation methods and approaches - how we evaluate.
(4) Deadweight, substitution, displacement effects - is what we observe the actual effect of the intervention.
(5) Experiments in evaluation - how to simultaneously observe situations after the implementation of an intervention and without intervention.
(6) Quasi-experiments - how to apply experimental logic when a real experiment cannot be carried out.
Type of course
Course coordinators
Learning outcomes
In terms of knowledge, the student ...
(1) Learns a complete set of approaches and methods for analyzing public interventions (K_W01)
(2) Lists the basic types of evaluation questions and criteria (K_W03).
(3) Knows the assumptions of structuring evaluation research K_W03).
In terms of skills, the student ...
(1) Can plan an evaluation project (K_U01).
(2) Can select research methods and research design to the information needs (K_U02).
In terms of social skills:
(1) Works in the team on solving the examples of developmental problems (K_K02)
(2) Organises the work in the group and plans the research (K_K02)
Assessment criteria
Students will be graded based on the results of the team and individual tasks conducted during the class.
Bibliography
1. Olejniczak K, Kozak M, Ledzion B (red.) (2008) Teoria i praktyka ewaluacji interwencji publicznych. Podręcznik akademicki, Warszawa: Akademia Leona Koźmińskiego i Wydawnictwa Akademickie i Profesjonalne.
2.Rossi P.H., Freeman H.E., Lipsey M.W., 1999, Evaluation: A Systematic Approach. 6th Edition, Sage Publications Inc., Thousand Oaks – London.
3. Glennerster, R., & Takavarasha, K. (2014). Running randomized evaluations: A practical guide. Princeton University Press.
4. Murnane, R. J., & Willett, J. B. (2010). Methods matter: Improving causal inference in educational and social science research. Oxford University Press.
Additional information
Information on level of this course, year of study and semester when the course unit is delivered, types and amount of class hours - can be found in course structure diagrams of apropriate study programmes. This course is related to the following study programmes:
- Inter-faculty Studies in Bioinformatics and Systems Biology
- Bachelor's degree, first cycle programme, Computer Science
- Bachelor's degree, first cycle programme, Mathematics
- Master's degree, second cycle programme, Bioinformatics and Systems Biology
- Master's degree, second cycle programme, Computer Science
- Master's degree, second cycle programme, Mathematics
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: