The Science of Evaluation: A Realist Manifesto
By R. Pawson. 2013
762 citations recorded by the source corpus.
Subfields: Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/9ad7eaa69349f9abf9f78ac53da980de06ebf2c2
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
- Caroline Knight
- R. Hunter
- Kevin Harris
- Sharon K. Parker
- M. Beattie
- T. Gorely
- Marylène Gagné
- Adam M. Grant
Citations in the corpus
- Process Tracing and Contribution Analysis: A Combined Approach to Generative Causal Inference for Impact Evaluation (2014, neutral): “In evaluation, the most famous application of generative causation is realist evaluation (RE) (Pawson 2013, 2006; Pawson and Tilley 1997).”
- How work redesign interventions affect performance: An evidence-based model from a systematic review (2021, background): “Scholars regularly call for such considerations when evaluating the effectiveness of interventions (e.g. Briner and Walshe, 2015; Lamontagne et al., 2007; Nielsen and Randall, 2013; Pawson, 2013; Snape et al., 2016).”
- Realist review (2021, background): “Research time and budgets are limited so practical and pragmatic decisions need to be made with regards to the number of programme theories to be taken forward for evaluation (Pawson 2013).”