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Theory-Based
Approaches for Assessing
the Impact of Integrated
Systems Research
Presentation to WLE-FTA-PIM-SPIA Workshop
Measuring the impact of integrated systems research
September 27-30, 2021
Prof. Brian Belcher
Royal Roads University
Evolving Nature of Research
• Evolution in research approaches (Mode 2,
Problem-oriented research, Utilization-focused
research, TDR, Sustainability Science,
Integrated Systems Research,etc.)
• Solution-oriented; complexity-aware; attention
to engagement, social processes
• Also in CGIAR (partnerships, engagement, co-
generation, systems, ToC)
• Commensurate need for evolution in research
evaluation
DEFAULT RESEARCH TOC
(“PIPELINE MODEL”)
Knowledge
/	
technology	
Disseminati
on	
Uptake	&	
use	
Scaling	
up	
The	
world	is	
a	better	
Place	
“Resear
ch	
Impact”	
“Societ
al		
Impact
”	
Mission-
level	
“Impact”	
Research
Research for Development Theory
of Change
Project/Program Contributions
KASRB = knowledge, attitudes, skills, relationships, &/or
behaviour
Name actor/actor group, action/behaviour, and research influence:
Examples
1.  Civil society organizations advocate for policy reform supported by
research-based knowledge
2.  Private companies modify commodity purchasing policies based on
learning from multi-stakeholder forum
n.b. Outcome defined as change in KASR manifest as a change in
behaviour.
Give an example of an outcome in
integrated systems research
How Research Contributes
Knowledge Contributions
•  Problem identification and conceptualization
•  Theoretical and/or empirical analysis of the problem
•  Develop and provide technical solutions
•  Provide evidence-based recommendations &
guidance for improved policy & practice
•  Improve theory, methodology and methods
How Research Contributes (cont.)
Capacity & Process Contributions
•  Build scientific capacity
•  Co-generate knowledge
•  Build social capacity, empowerment
•  Provide fora and/or facilitate negotiated solutions
•  Build linkages/relationships between key system actors
•  Support institutions
•  Influence policy & practice through multiple inter-linked
pathways
•  Influence research agendas
•  Pipeline model still predominant
•  Focus on “innovations” (technologies, tools,
institutions)
•  Evaluation of uptake and use, scaling & measurable
benefits using:
•  Statistical association between cause and effect
(Regularity framework)
•  Experimental; quasi-experimental method (Counterfactual
framework)
•  These methods are not appropriate for systems
research, TDR (can’t control intervention; small n)
•  Use theory-based evaluation (Generative
Framework)
CGIAR Impact Assessment
Some Theory-Based Evaluation
Approaches
• Process	Tracing	(Beach	&	Pedersen	2019)		
• Realist	Evaluation	(Pawson	2013)	
• Social	Impact	Assessment	(SIAMPI)	(Spaapen	&	
van	Drooge	2011)	
• Outcome	Mapping	(OM)	(Earl	et	al	2001)	
• Contribution	Analysis	(CA)	(Mayne	2012)	
• RAPID	Outcome	Assessment	(ODI	2012)	
• Payback	Framework	(Buxton	and	Hanney	1996)	
• Impact	Pathway	Evaluation	(Douthwaite	et	al	
2003)	
• ImpresS	(Blundo-Canto	et	al,	2020)	
Mechanisms	
ToC
• Document the theory of change
• Identify priority impact pathways for analysis
• Collate available evidence for each key step
• Collect additional data necessary to test each
step
• Investigate “mechanisms” to explain how
outcomes were realized
• Articulate and test alternative hypotheses
Belcher et al, 2020
FTA THEORY-BASED EVALUATION
Challenge	1	(Deforestation	and	Forest	
Degradation)	ToC
Challenge	1	(Deforestation	and	Forest	
Degradation)	ToC	
Challenges/Entry	Points	
Outputs	
Targeted	Engagement	
Impacts	
Outcomes	
End-of-
Project	
Outcomes	
Higher-level	
Outcomes
Cluster-level	sub-ToC	for	FTA	research	
on	REDD+
A contribution claim can be made if:
1.  The ToC is logical
2.  The results are supported by
evidence
3.  Other potential influencing factors
have been assessed and either:
a. recognized as contributors, or;
b. rejected as insignificant
CONTRIBUTION ANALYSIS
Mayne	2012
Challenges and Opportunities
•  Developing high-quality ToCs
•  System-oriented (as opposed to research-centric)
•  Realistically account for other key processes and system actors
•  Outputs as products and services
•  Specifying outcomes
•  Building theory into assumptions
•  Ensure causal logic is sound (no miracles allowed)
•  Using and updating ToCs
•  Identifying appropriate metrics/indicators for multiple
outcomes
•  Dealing with the lack of a counterfactual
•  Maintaining rigour
References and Resources
Belcher, B. M., Davel, R., & Claus, R. (2020). A refined method for theory-based evaluation of the societal impacts of research.
MethodsX, 7, 100788.
Belcher, B. M., & Hughes, K. (2020). Understanding and evaluating the impact of integrated problem-oriented research programmes:
Concepts and considerations. Research Evaluation, 1, 15.
Belcher, B. & Palenberg, M. (2018). Outcomes and Impacts of Development Interventions: Toward Conceptual Clarity. American
Journal of Evaluation, 39(4), 478-495.
Blundo‐Canto, G., Devaux‐Spatarakis, A., Mathé, S., Faure, G., & Cerdan, C. (2020). Using a participatory theory driven evaluation
approach to identify causal mechanisms in innovation processes. New Directions for Evaluation, 2020(167), 59-72.
Buxton, M., & Hanney, S. (1996). How can payback from health services research be assessed?. Journal of health services research
& policy, 1(1), 35-43.
Douthwaite, B., Kuby, T., van de Fliert, E., & Schulz, S. (2003). Impact pathway evaluation: an approach for achieving and attributing
impact in complex systems. Agricultural systems, 78(2), 243-265.
Earl, S., Carden, F. & Smutylo, t. (2001). Outcome Mapping: Building Learning and Reflection into Development Programs. Ottawa:
International Development Research Centre.
Mayne, J. (2012). Contribution analysis: Coming of age?. Evaluation, 18(3), 270-280.
ODI (2012). RAPID Outcome Assessment. Retrieved from https://www.odi.org/sites/odi.org.uk/files/odi-assets/publications-opinion-
files/7815.pdf
Pawson, R. (2013). The science of evaluation: a realist manifesto. sage.
Spaapen, J., & Van Drooge, L. (2011). Introducing ‘productive interactions’ in social impact assessment. Research evaluation, 20(3),
211-218.
Stern, E., Stame, N., Mayne, J., Forss, K., Davies, R., & Befani, B. (2012). Broadening the range of designs and methods for impact
evaluations.
Stevenson and Velk (2018). Assessing the Adoption and Diffusion of Natural Resource Management Practices: Synthesis of a New
Set of Empirical Studies. Rome: Independent Science and Partnership Council (ISPC).
Sustainability Research Effectiveness website: www.researcheffectiveness.ca

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Theory-Based Approaches for Assessing the Impact of Integrated Systems Research

  • 1. Theory-Based Approaches for Assessing the Impact of Integrated Systems Research Presentation to WLE-FTA-PIM-SPIA Workshop Measuring the impact of integrated systems research September 27-30, 2021 Prof. Brian Belcher Royal Roads University
  • 2. Evolving Nature of Research • Evolution in research approaches (Mode 2, Problem-oriented research, Utilization-focused research, TDR, Sustainability Science, Integrated Systems Research,etc.) • Solution-oriented; complexity-aware; attention to engagement, social processes • Also in CGIAR (partnerships, engagement, co- generation, systems, ToC) • Commensurate need for evolution in research evaluation
  • 3. DEFAULT RESEARCH TOC (“PIPELINE MODEL”) Knowledge / technology Disseminati on Uptake & use Scaling up The world is a better Place “Resear ch Impact” “Societ al Impact ” Mission- level “Impact” Research
  • 4. Research for Development Theory of Change
  • 5. Project/Program Contributions KASRB = knowledge, attitudes, skills, relationships, &/or behaviour
  • 6. Name actor/actor group, action/behaviour, and research influence: Examples 1.  Civil society organizations advocate for policy reform supported by research-based knowledge 2.  Private companies modify commodity purchasing policies based on learning from multi-stakeholder forum n.b. Outcome defined as change in KASR manifest as a change in behaviour. Give an example of an outcome in integrated systems research
  • 7. How Research Contributes Knowledge Contributions •  Problem identification and conceptualization •  Theoretical and/or empirical analysis of the problem •  Develop and provide technical solutions •  Provide evidence-based recommendations & guidance for improved policy & practice •  Improve theory, methodology and methods
  • 8. How Research Contributes (cont.) Capacity & Process Contributions •  Build scientific capacity •  Co-generate knowledge •  Build social capacity, empowerment •  Provide fora and/or facilitate negotiated solutions •  Build linkages/relationships between key system actors •  Support institutions •  Influence policy & practice through multiple inter-linked pathways •  Influence research agendas
  • 9. •  Pipeline model still predominant •  Focus on “innovations” (technologies, tools, institutions) •  Evaluation of uptake and use, scaling & measurable benefits using: •  Statistical association between cause and effect (Regularity framework) •  Experimental; quasi-experimental method (Counterfactual framework) •  These methods are not appropriate for systems research, TDR (can’t control intervention; small n) •  Use theory-based evaluation (Generative Framework) CGIAR Impact Assessment
  • 11. • Document the theory of change • Identify priority impact pathways for analysis • Collate available evidence for each key step • Collect additional data necessary to test each step • Investigate “mechanisms” to explain how outcomes were realized • Articulate and test alternative hypotheses Belcher et al, 2020 FTA THEORY-BASED EVALUATION
  • 15. A contribution claim can be made if: 1.  The ToC is logical 2.  The results are supported by evidence 3.  Other potential influencing factors have been assessed and either: a. recognized as contributors, or; b. rejected as insignificant CONTRIBUTION ANALYSIS Mayne 2012
  • 16. Challenges and Opportunities •  Developing high-quality ToCs •  System-oriented (as opposed to research-centric) •  Realistically account for other key processes and system actors •  Outputs as products and services •  Specifying outcomes •  Building theory into assumptions •  Ensure causal logic is sound (no miracles allowed) •  Using and updating ToCs •  Identifying appropriate metrics/indicators for multiple outcomes •  Dealing with the lack of a counterfactual •  Maintaining rigour
  • 17. References and Resources Belcher, B. M., Davel, R., & Claus, R. (2020). A refined method for theory-based evaluation of the societal impacts of research. MethodsX, 7, 100788. Belcher, B. M., & Hughes, K. (2020). Understanding and evaluating the impact of integrated problem-oriented research programmes: Concepts and considerations. Research Evaluation, 1, 15. Belcher, B. & Palenberg, M. (2018). Outcomes and Impacts of Development Interventions: Toward Conceptual Clarity. American Journal of Evaluation, 39(4), 478-495. Blundo‐Canto, G., Devaux‐Spatarakis, A., Mathé, S., Faure, G., & Cerdan, C. (2020). Using a participatory theory driven evaluation approach to identify causal mechanisms in innovation processes. New Directions for Evaluation, 2020(167), 59-72. Buxton, M., & Hanney, S. (1996). How can payback from health services research be assessed?. Journal of health services research & policy, 1(1), 35-43. Douthwaite, B., Kuby, T., van de Fliert, E., & Schulz, S. (2003). Impact pathway evaluation: an approach for achieving and attributing impact in complex systems. Agricultural systems, 78(2), 243-265. Earl, S., Carden, F. & Smutylo, t. (2001). Outcome Mapping: Building Learning and Reflection into Development Programs. Ottawa: International Development Research Centre. Mayne, J. (2012). Contribution analysis: Coming of age?. Evaluation, 18(3), 270-280. ODI (2012). RAPID Outcome Assessment. Retrieved from https://www.odi.org/sites/odi.org.uk/files/odi-assets/publications-opinion- files/7815.pdf Pawson, R. (2013). The science of evaluation: a realist manifesto. sage. Spaapen, J., & Van Drooge, L. (2011). Introducing ‘productive interactions’ in social impact assessment. Research evaluation, 20(3), 211-218. Stern, E., Stame, N., Mayne, J., Forss, K., Davies, R., & Befani, B. (2012). Broadening the range of designs and methods for impact evaluations. Stevenson and Velk (2018). Assessing the Adoption and Diffusion of Natural Resource Management Practices: Synthesis of a New Set of Empirical Studies. Rome: Independent Science and Partnership Council (ISPC). Sustainability Research Effectiveness website: www.researcheffectiveness.ca