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Recent Posts
- Evaluation of marketing – grappling with the important but hard to measure outcomes
- The Friday Funny: A surrealistic mega-analysis of redisorganization theories
- Getting the facts straight on youth unemployment rates
- The Friday Funny: Negotiating the budget
- The Friday Funny: Evaluation and content expertise
Recent Comments
- Michael Scriven on Evaluation of marketing – grappling with the important but hard to measure outcomes
- Kathleen Lynch on The Friday Funny: Negotiating the budget
- Heather Nunns on Friday Funny – 10 ways of knowing you’ve been an evaluator too long
- Tarina MacDonald on 9 golden rules for commissioning a waste-of-money evaluation
- Tarina MacDonald on Valuing cultural expertise – in $$ terms
Archives
Category Archives: Causal inference strategies
The Rise and Risk of Evidence
Our guest blogger this week is Katherine Hay, a senior member of the Evaluation Unit of the International Centre for Development Research. Based in New Delhi, India, she is an expert on the role of evaluation in development in South Asia. … Continue reading
Posted in Appropriate inference, Causal inference, Causal inference strategies, Development
Tagged Development, evidence
4 Comments
Causal inference for program theory evaluation
How do we find out whether programs, projects and policies have really made a difference? Given the complex array of other influences on the outcomes, is it all too hard? Jane and I have been doing some separate thinking and writing about this. Putting these together has produced a new map of the issues which might be very useful.
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Continue reading
Intention To Treat and checking for implementation failure and differential effects – questions about vitamin A trials in Ghana
Has a large RCT provided definitive proof that vitamin A supplementation is ineffective in reducing maternal mortality? Or could there be another explanation? And why hasn’t the widespread reporting of these findings examined these?
Posted in Causal inference, Causal inference strategies, Health
Tagged differential, implementation, ITT, RCT
6 Comments
£6 million over 5 years – and STILL no genuine evaluation of Blueprint?
When a large and expensive evaluation fails to produce useful results, it’s worth seeing if at least it can be useful as a cautionary tale. Blueprint is a UK Government-funded drugs education programme consisting of five components: drug education in … Continue reading
Posted in Adequate scope, Causal inference, Causal inference strategies, Education, Evaluation team composition, Evaluative questions & answers, Government programs, Learning from failure, The client's role
Tagged Causal inference, comparisons, drug education, government, sample size, statistical power, UK
1 Comment
Advocating for RCTs – with a non-RCT example?
Curious post by Tim Harford in the Financial Times recently “Political ideas need proper testing” that slides from advocating for better empirical investigation of public policy by systematic experimentation to discussing this only in terms of RCTs – and then uses as the exemplar a brilliant example of using other types of evidence to inform policy. Continue reading
Jane at Real Evaluation
Patricia at CIRCLE (RMIT)