Causal pathways
A causal pathways perspective on evaluation focuses on understanding how, why, and under what conditions change happens or has happened.
It is used to understand the interconnected chains of causal links that lead to a range of outcomes and impacts. These causal pathways are likely to involve multiple actors, contributing factors, events, and actions, not only the activities associated with the program, project, or policy being evaluated or its stated objectives.
Overview
Rather than being a specific approach, causal pathways evaluation might be best understood as a perspective on evaluation, which can draw on a combination of existing evaluation approaches, processes and methods. It uses a range of types of evidence, especially participant voices and narratives, and emphasises the use of participatory processes.
Causal pathways evaluation, as understood by the Causal Pathways Initiative, can be distinguished by the following features:
- Addressing power and inclusion: Seeking to use inclusive and empowering processes, from design through to the use of findings, that respect, support, and prioritise the values and perspectives of people who are directly affected by a program, system and/or contexts, with particular attention to usually excluded interests.
- Valuing actors’ narratives: Paying serious attention to how people who are directly affected by a program, system, or context understand how changes have or have not come about and how they value those changes. Actors can include participants, on-the-ground program staff, implementing partners, and others contributing to or impacted by changes.
- Articulating explicit causal pathways: Identifying intermediate outcomes, causal mechanisms, non-linear, plural, and sometimes contested pathways to change, and the interactions between factors that influence whether change occurs.
- Paying attention to a range of outcomes and impacts, both positive and negative: Not only explicitly intended outcomes and impacts.
- Understanding contextual variation: Identifying and describing differences in how interventions work in different contexts and for different people. Relevant contextual factors may include previous or concurrent interventions, power relationships, and socio-economic and demographic characteristics.
- Using an iterative, bricolage approach to evaluation design: Combining different methods and approaches to address specific questions and ensure rigour and using data and learning to inform subsequent data collection and analysis.
- Drawing on a range of causal inference strategies: Supporting causal inference in complex systems through a range of causal inference strategies.
- Taking a complexity-appropriate approach to evaluation quality and rigour: Identifying and working with appropriate quality criteria such as reasoning, credibility, responsiveness, utilisation, and transferability.
The causal pathways perspective on evaluation builds on the concepts of ‘causal pathways’, ‘outcome pathways’ and ‘impact pathways’ which have been used in various sectors to articulate the causal chains that can lead to particular outcomes and impacts. These have been used to articulate and empirically investigate causal chains from interventions to results (either intended or unintended) and from different contributory factors that interact to generate different results (both positive and negative).
The importance of power and inclusion in processes and analysis
The causal pathways perspective pays explicit attention to power and inclusion in relation to understanding causal pathways and undertaking evaluation. Power dynamics that influence change can involve different forms of power held by different types of actors. Visible forms of power can be held by formal position holders and institutions and enshrined in rules and regulations. Hidden power allows actors to set agendas behind the scenes and so decide on who can or cannot be part of decision-making. Invisible forms of power work at the psychosocial realm, are derived from relationships, customs, traditions, rules, regulations, and practices and determine who can and who cannot meaningfully engage.
A causal pathways perspective aims to understand the power dynamics that influence how and whether change occurs. It includes the perspectives and experiences of traditionally under-represented interests, including natural as well as human systems. This builds a deeper understanding of the factors generating or inhibiting changes along causal pathways, including changes in mindsets, beliefs and practices. Using inclusive and empowering processes that respect, support and prioritize the activities and voices of local actors enhances the quality of the evaluation and supports the use of evaluation findings.
Related evaluation approaches, methods, and processes
Causal pathways evaluations can draw on a range of approaches, methods and processes to develop an overall design. The following list shows some relevant approaches and methods, with links to more detailed information.
Approaches
Methods
Understand the situation
Develop a design for the evaluation
Determine what constitutes high quality evaluation
Understand causes
Resources
The Causal Pathways Initiative has produced and curated a number of resources.
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About the Causal Pathways Initiative
Causal Pathways Initiative partner page
The Causal Pathways Initiative was established to connect experiences and build insights about using causal pathways analysis, especially with complex systems change interventions.
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Resource
- Causal Pathways 2023 Symposium and 2024 introductory sessions
- Causal Pathways breakout session: Process tracing
- Causal Pathways introductory session: Causal link monitoring
- Causal Pathways introductory session: Causal mapping
- Causal Pathways introductory session: Contribution analysis
- Causal Pathways introductory session: Outcome harvesting for exploring causal pathways
- Causal Pathways introductory session: Qualitative Impact Protocol (QuIP)
- Causal Pathways introductory session: Realist evaluation
- Causal Pathways introductory session: The inclusive rigour framework
- Causal pathways: A shared understanding
- Making causal pathways visible amid complexity
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