Evidence-based Policy: A Realist Perspective

By D. Anthony. 2007

1,374 citations recorded by the source corpus.

Subfields: General Health Professions, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/408d7359fb8d30813373c96c4f2406d6c775fb44

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In General Health Professions

In Statistics and Probability

Citations in the corpus

Research synthesis in software engineering: A tertiary study (2011, methodology): “A particularly relevant method for future research synthesis in SE is Pawson’s theory-driven approach of realist synthesis [42].”
Realist review (2021, methodology): “For realists, the success and failure of a social programme lies in the complex relationship that exists between the resources the intervention has to offer, the context in which it was implemented, and the reactions of users (Pawson, 2006a).”
Unpacking Black Boxes: Mechanisms and Theory Building in Evaluation (2010, background): “News of the case sparked a large public outcry, which resulted in the swift introduction of legislation allowing for a mandatory community notification system for convicted sex offenders (Pawson, 2006).”
Economic Pathways to Women’s Empowerment and Active Citizenship: What Does The Evidence From Bangladesh Tell Us? (2017, background): “It is important to state at the outset that this paper is not intended as a systematic review of the kind that is now standard in the ‘evidence-based’ policy literature (Pawson, 2006).”
Assessment rubrics: towards clearer and more replicable design, research and practice (2017, background): “This sort of ‘label naivety’ (Pawson 2006) is not particular to education, and is common to other social science phenomena as well.”
Known Knowns, Known Unknowns, Unknown Unknowns (2011, methodology): “Box 1 provides a brief outline of the dynamics of modern interventions—and a first taste of the vast evidence requirements (Pawson, 2006).”
A realist evaluation of community-based participatory research: partnership synergy, trust building and related ripple effects (2015, methodology): “context-mechanism-outcome configurations [25] (see defi-”
A Systematic Review of Co-Creation and Co-Production: Embarking on the social innovation journey (2015, neutral): “Hence, we want to establish a more evidence-based understanding of the added value of co-production/co-creation (Pawson 2006).”
The Importance of Qualitative Research for Causal Explanation in Education (2012, background): “Pawson (2006) argued, The nature of causality in social programmes is such that any synthesis of evidence on whether they work will need to investigate how they work.”
Supporting thinking on sample sizes for thematic analyses: a quantitative tool (2015, positive): “New paradigms favour combining approaches, e.g. mixed methods research (Tashakkori & Teddlie, 2010), the realist approach (Pawson, 2006), and meta-narrative reviews (Greenhalgh, Potts, Wong, Bark, & Swinglehurst, 2009; Wong, Greenhalgh, Westhorp, Buckingham, & Pawson, 2013).”
Evidence-based policy or policy-based evidence gathering? Biofuels, the EU and the 10% target† (2010, background): “…process, whereby evidence is gathered to support a previously determined policy choice, also colloquially known as the ‘cherrypicking of evidence’ (Pawson, 2006:7), suggests that a single-minded adherence to a specific point of view, exclusive of divergent viewpoints, characterised the 10%…”
Motivation and cognitive load in the flipped classroom: definition, rationale and a call for research (2015, background): “This leads to the perennial problems of student preparation: how do teachers know if students have prepared, what they know and if the preparation was useful? Despite popular enthusiasm and a somewhat reasonable rationale, flipped classroom approaches could not yet be considered an evidence-based (P”
Realism as a Stance for Mixed Methods Research (2010, background): “The work of Tilley (described in Pawson & Tilley, 1997) and Mark, Henry, and Julnes (2000; Henry, Julnes, & Mark, 1998), much of which combined qualitative and quantitative approaches, has provided a realist alternative to traditional ways of conceptualizing program evaluations. In addition, Pawson’”
Clarifying differences between review designs and methods (2012, background): “Realist synthesis [9] What is the effect of a social policy in different policy areas?”
Smart specialisation, entrepreneurship and SMEs: issues and challenges for a results-oriented EU regional policy (2016, methodology): “There is now a growing literature on outcomeoriented policy making (McCann 2015), the requisite properties of outcome indicators and results indicators (Barca and McCann 2011a, b, c), along with the features of good evaluation and monitoring exercises (Davies et al. 2000; Pawson 2006; Technopolis Gr”