The Science of Evaluation: A Realist Manifesto

By M. Keary. Online information review (Print), 2014

539 citations recorded by the source corpus.

Subfields: Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/332b24353018022360befe43dd2de42d99cb2f57

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

1. Pierre Pluye
2. G. Wiltshire
3. Trisha Greenhalgh
4. Steven Bird
5. N. Ronkainen
6. L. Green

Citations in the corpus

• Process Tracing and Contribution Analysis: A Combined Approach to Generative Causal Inference for Impact Evaluation (2014, unknown): “In evaluation, the most famous application of generative causation is realist evaluation (RE) (Pawson 2013, 2006; Pawson and Tilley 1997).”
• A realist approach to thematic analysis: making sense of qualitative data through experiential, inferential and dispositional themes (2021, methodology): “ingly being utilized (Pawson and Tilley 1997; Pawson 2013; Wong et al. 2013) and the integration of realism to the much revered (in evidence-based medicine at least) method of randomized controlled trials is being considered (Van Belle, Wong, and Westhorp 2016).”
• Decolonising Speech and Language Technology (2020, methodology): “A way to approach this “how” question is offered by the framework of Realist Evaluation (Pawson, 2013).”
• A realist evaluation of community-based participatory research: partnership synergy, trust building and related ripple effects (2015, background): “strategies implemented in diverse community contexts [25, 28] dependant on the dynamics of relationships”