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Research > Systematic Reviews of Evidence

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​Evaluation provides the evidence on the effectiveness of a program. However, the quality of evidence matters. In our systematic review and meta-analysis studies, we form a catalog to document
  • the impacts of several implemented policies and programs targeting a specific outcome, and
  • the key program elements, such as the program components, content, design, implementation, and challenges in implementation.
 
Evidence quality rating system
In order to identify best evidence-based practices, evaluation studies of each program can be rated in terms of evidence quality. The quality can be determined by the
  • evaluation design (e.g., randomized trial, quasi-experimental),
  • internal validity to determine causal effects (e.g., existence of comparison groups, equivalence of intervention and comparison groups at baseline),
  • generalization of results to other populations and settings,
  • reliability and validity of data on outcomes, and
  • validity of statistical conclusions (e.g., statistical adjustment for selected measures, handling missing data) (for only the quantitative evaluation studies).
 
An evaluation study with a high rating means that the study is well designed to estimate the effectiveness of the intervention. A moderate rating means that the study is well designed but has some weaknesses. A low rating means that one cannot know if changes in outcomes are due to the intervention or other factors. 



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Hierarchy of evidence pyramid
featured study

Drug Prevention Program Evaluation: Unpacking the Mechanisms

hr intervention meta
systematic -esra
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jacobs individual level meta blog post?


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ındependent evaluatıon laboratory
Bağımsız Etki DEğerlendirme Laboratuvarı

Koç University, ​Department of Psychology 
Offices: SOS Z13D and SNA142, Rumelifeneri Yolu Cad.
​34450 Sarıyer Istanbul Turkey
E-mail address: iel at ku.edu.tr 
Phone: 00 9 02123381114

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  • About
    • Lab Director
    • Members & collaborators
    • Vacancies
  • Research Expertise
    • Program Evaluation
    • Optimizing interventions
    • Methodological innovations
    • Advanced data analysis
    • Systematic reviews of evidence
  • Areas
    • Education
    • Health
    • Child and youth
    • Social Policy
    • Workforce Development
  • Evaluation Standards
  • Support Us