Ascertaining causality in theory‐based evaluation
By E. Davidson. 2000
103 citations recorded by the source corpus.
Subfields: General Health Professions, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/a73b5e72e345b249503cefbfb59f4d1f3cc99f54
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In General Health Professions
- Carl D. Westine
- Daniela C. Schröter
- Frans Leeuw
- Chris L. S. Coryn
- Lindsay A. Noakes
- I. Sanderson
- B. Astbury
In Management Science and Operations Research
- Carl D. Westine
- Daniela C. Schröter
- Frans Leeuw
- Chris L. S. Coryn
- Lindsay A. Noakes
- I. Sanderson
- B. Astbury
In Statistics and Probability
- Carl D. Westine
- Daniela C. Schröter
- Frans Leeuw
- Chris L. S. Coryn
- Lindsay A. Noakes
- I. Sanderson
- B. Astbury
Citations in the corpus
- Making Sense of ‘What Works’: Evidence Based Policy Making as Instrumental Rationality? (2002, methodology): “Moreover, in causal modelling methods commonly espoused in TBE, the fact that a model may 'fit' the data provides no warrant of verification because alternative possible models are not ruled out (see also Davidson, 2000).”
- A Systematic Review of Theory-Driven Evaluation Practice From 1990 to 2009 (2011, background): “Even so, these types of theories or models also have been questioned regarding the degree to which they adequately represent complex realities and unpredictable, continuously changing, open and adaptive systems (Patton, 2010). components relate to one another (Davidson, 2000, 2005).”
- Unpacking Black Boxes: Mechanisms and Theory Building in Evaluation (2010, background): “As Davidson (2000) has mechanisms by which a program achieves its effects, surprisingly few actually do this’’ (p. 18).”