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Outcome Trajectory Evaluation (OTE)

An Approach to Tackle Research-for-Development’s Long-Causal-Chain Problem

Bibliographic Data

ID12471137
AuthorsBoru Douthwaite (0000-0003-0018-4340, Selkie Consulting Ltd., Cushalogurt, Kilmeena, Westport, Co. Mayo, Ireland, corresponding author), Claudio Proietti (0000-0002-3969-288X, Center for International Cooperation in Agricultural Research for Development (CIRAD), Montpellier, France), Vivian Polar (0000-0001-6004-6658, CGIAR Research Program on Roots, Tubers and Bananas (RTB), led by CIP, Lima, Perú), G Thiele (0000-0002-3739-0431, CGIAR Research Program on Roots, Tubers and Bananas (RTB), led by CIP, Lima, Perú)
Year2023
Volume44
Issue3
Pages335-352
Publication date2023-01-31
Open AccessYes
TypeARTICLE
VenueAmerican Journal of Evaluation (JOURNAL)
Journal identifiersISSN: 1098-2140 • E-ISSN: 1557-0878
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/10982140221122771
OpenAlexW4319842870
LanguageEN
Citations received5
References cited19

This paper develops a novel approach called Outcome Trajectory Evaluation (OTE) in response to the long-causal-chain problem confronting the evaluation of research for development (R4D) projects. OTE strives to tackle four issues resulting from the common practice of evaluating R4D projects based on theory of change developed at the start. The approach was developed iteratively while conducting four evaluations of policy-related outcomes claimed by the CGIAR, a global R4D organization. The first step is to use a middle-range theory (MRT), based on “grand” social science theory, to help delineate and understand the trajectory that generated the set of outcomes being evaluated. The second step is to then identify project contribution to that trajectory. Other types of theory-driven evaluation are single step: they model how projects achieve outcomes without first considering the overarching causal mechanism—the outcome trajectory—from which the outcomes emerged. The use of an MRT allowed us to accrue learning from one evaluation to the next

Causal chain · Economics · Epistemology · Management · Management science · Mathematical economics · Operations research · Outcome (game theory · Political science · Program evaluation · Range (aeronautics · Set (abstract data type · Theory of change · Trajectory · Complex Systems and Decision Making · Computer Science · Engineering · Evaluation and Performance Assessment · Qualitative Comparative Analysis Research

  • The Role of Agricultural Research in Policymaking

    Open Access•Salomón Pérez, Carolina González•European Journal of Development…•2026

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    Open Access•Stephen Leitheiser, Darleen van Dam et al.•Sustainability Science•2026

  • Using Outcome Trajectory Evaluation to Assess HarvestPlus’ Contribution to the Development of National Biofortification Breeding Programs

    Open Access•Boru Douthwaite, Nancy L Johnson et al.•European Journal of Development…•2022

  • Fixing the Wrong Failures? Why Security Sector Reform Fails Without Sound Theories of Change

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  • The Science of Evaluation

    Ray Pawson•The Science of Evaluation•2013

  • Theories of the Policy Process

    Paul Sabatier, Paul A Sabatier•Theories Of The Policy Process,…•2019

  • Program Theory-Driven Evaluation Science

    Stewart I Donaldson•Program Theory-Driven Evaluation…•2007

  • All models are wrong

    Open Access•John D Sterman•System Dynamics Review•2002

  • Approaches and terminology for causal analysis in land systems science

    Open Access•Patrick Meyfroidt•Journal of Land Use Science•2016

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    Open Access•Erica Breuer, Lucy Lee et al.•Implementation Science•2015

  • Contribution analysis

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  • Social Theory and Social Structure

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Citations per year1.25
Citation span2022 - 2026 (5)
Highly citedNo
Open DOIOpen Access
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