2016: Training on OPCC evaluation methodologies for MA - EVALMET


Commissioned by: WYG savjetovanja d.o.o. 
Project duration: February 15, 2016 – March 31, 2016
Project manager: Marijana Sumpor, PhD
Collaborator: Ivica Rubil, PhD


Evaluation represents a crucial phase within the policy, program and project life cycle. For the assessment of accomplished objectives and their impacts during and after the implementation of programs and projects, advanced quantitative and qualitative analytical methods are used. Within economic theory, analytical methods are developed that are used within political and administrative science research. Due to the higher level of complexity in the application of advanced evaluation methods, such as theory-based evaluation and counterfactual evaluation methods, interdisciplinary cooperation between experts that understand the content of the policy to be evaluated and experts that are specialised in the application of advanced evaluation methods is crucial. The main aim of this training is to enable a higher level of understanding and exchange of know-how between key stakeholders that participate in evaluations, i.e., clients and evaluators. 
 
  • Project goals: The main goal of the training is to introduce and transfer know-how on advanced evaluation methods to public administration officials that are actively engaged with evaluations. 
  • Expected results/outputs: The expected result of the training are 30 participants of the training. Expected outcomes are that public sector officials apply the gained knowledge in drafting TORs and contracting evaluation studies, and have a better understanding of evaluation study results.
  • Activities:
    • Preparation of training materials 
    • Implementation of training 
    • Evaluation of training by participants 
    • Report on implemented training 
  • Methodology: Due to the complexity of the training content, basics on evaluation methods will be introduced, and the discussion will encompass practical issues such as needed data, their quality, hardware and software, the methods' usefulness and applicability.  

 

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