ArticleMethodsX2020
A refined method for theory-based evaluation of the societal impacts of research.
Article in MethodsX, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- Are we researching the right questions? Bibliometric analysis of undergraduate nursing thesis alignment with Peru's health priorities.Frontiers in research metrics and analytics · 2026Article
- Value landscapes in interdisciplinary and transdisciplinary research and assessment: exploring indeterminacies and disconnects.Humanities & social sciences communications · 2026Article
- A quality assessment framework for transdisciplinary research design, monitoring, and evaluation: Guidance for application.MethodsX · 2025Article
- Fostering reflective impact orientation in transdisciplinary research-A multi-method workshop format.MethodsX · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With high and increasing expectations for research to have social and environmental impact, there is a corresponding need for appropriate methods to demonstrate (for accountability) and analyze (for learning) whether and how research projects contribute to change processes. Evaluation is especially challenging for problem-oriented research that employs inter- and transdisciplinary approaches and intervenes in complex systems, where experimental and statistical approaches to causal inference are inappropriate. Instead, theory-based evaluation can be applied to identify and test causal processes. This paper presents a detailed explanation of the Outcome Evaluation approach applied in Belcher et al. (2019b). It draws on concepts and approaches used in theory-based program evaluation and the more limited experience of theory-based research evaluation, providing a brief overview of conceptual strengths and limitations of other methods. The paper offers step-by-step guidance on application of the Outcome Evaluation approach, detailing how to: document a theory of change; determine data needs and sources; collect data; manage and analyze data; and present findings. This approach provides a clear conceptual and analytical framework in addition to actor-specific and impact pathway analyses for more precision in the assessment of outcomes. Specifically, the Outcome Evaluation approach: •Conceptualizes research within a complex system and explicitly recognizes the role of other actors, context, and external processes;•Utilizes a detailed actor-centred theory of change (ToC) as the analytical framework; and•Explicitly tests a set of hypotheses about the relationship between the research process/outputs and outcomes.
Indexed as
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.