Getting Real about Causality and Complexity: Evaluation Methods and Approaches for Complex Interventions

Session Number: 1965
Track: Quantitative Methods: Theory and Design
Session Type: Skill-Building Workshop
Tags: Causality, complexity, quantitative methods
Session Facilitator: Sanjeev Sridharan [Director, Evaluation Centre for Complex Health Interventions - University of Toronto]
First Author or Discussion Group Leader: Laura Peck [Principal Scientist - Abt Associates]
Time: Nov 09, 2017 (10:30 AM - 11:15 AM)
Room: Delaware A

Theme: Learning to Enhance Evaluation
Audience Level: All Audiences

Session Abstract (150 words): 

This workshop will highlight recent advances in evaluation approaches and methods when faced with complex

interventions. By complex interventions, we mean interventions that are multicomponents,

have components that are changing over time, heavily context dependent and there is lack of clarity in the initial program theory. The

panel will discuss how recent advances in approaches, methods and designs can help with understanding how

programs work, how programs change, how does one connect the 'black box' of programs to observed change;

and what it means to attribute/contribute to programs in complex contexts. Five methodological problems will form

the core of the panel: (a) Evaluation framework and approaches to understand complex interventions; (b)

Advances in methods to link program processes to program impacts; © Studying program impacts when the

timeline of impact is limited; (d) Studying program impacts when the sphere of control is limited; (e) Methods to

study complex mechanisms of change including methods based on cluster and spatial analysis