Posted by
Patricia Rogers on
March 11th, 2010
A nice example of collecting and then communicating data comes from the Stop Stock-Outs site.
During ‘pill check week’, researchers visited public health institutions countrywide and checked on the availability of a list of 10 essential medicines. These are medicines that should be readily available in public health facilities.
Using innovative technology, the team then reported the
Read the whole post –> Stop Stock-Outs: Interactive graph of data collected by SMS
Posted by
Patricia Rogers on
March 9th, 2010
The new funding rules for the US Department of Education’s $650 million Investing in Innovation appear based on an out-of-date model of evidence-based policy and hierarchy of evidence. Recent developments in our understanding of evidence-based policy would suggest changes are needed to the selection criteria and to how successful proposals will be
Read the whole post –> Investing In Innovation – a need to apply what we know about evidence-based policy
Posted by
Patricia Rogers on
March 7th, 2010
One of the challenges for genuine evaluation is striking a balance between being overly bold in statements and overly cautious. An example of an analysis that seems to strike this balance is in the Health: Best Treatments blog (a joint project of The British Medical Journal and The Guardian newspaper) of the limitations of recent research that reported:
About 1 in 100 people are ‘addicted’ to using the internet, and these people have a greater risk of becoming
Read the whole post –> Does excessive Internet use cause depression?
Posted by
Patricia Rogers on
March 5th, 2010
A salutary reminder that just because things are measured precisely (such as money) doesn’t mean that the measurements are valid or useful. As reported by Louise Story, Landon Thomas Jr and Nelson D. Schwartz, in the New York Times on 13 Feb 2010 :
As in the American subprime crisis and the implosion of the American
Read the whole post –> What you measure and how you measure it – the Greek financial example
Posted by
Jane Davidson on
March 3rd, 2010
**Revised and updated, March 4th** Here’s an elaborated version of the table presented in our earlier post that discussed the implicit reasons for creating evaluation teams with cultural (and other) ‘insiders’ in different proportions and in different roles. The table is presented in four columns:
* Implicit “Problem” or “Challenge” Addressed
* Insider Inclusion Rationale
* Likely Practice Implication (How ‘Insiders’ Are Involved)
* Likely Evaluation ‘Product’
Read the whole post –> A fleshed out ‘program logic’ for why and where ‘insiders’ are included in evaluation
Posted by
Patricia Rogers on
March 1st, 2010
Is certainty of measurement the most important criterion for impact evaluation? Colin Burrows has set forward a tongue-in-cheek proposal for measuring the impact of research undertaken in universities – the Impact-o-meter. This satirical piece raises serious questions about the cost, precision and implications of measuring impact.
As an aside, Australia had developed a framework for assessing
Read the whole post –> The Impact-o-meter
Posted by
Patricia Rogers on
February 26th, 2010
The second-funniest joke in the world, according to Richard Wiseman’s LaughLab, was the joke submitted by Geoff Anandappa of Blackpool, which is clearly about the importance of focusing key messages in evaluation summaries.
Sherlock Holmes and Dr. Watson were going camping. They pitched their tent under the stars and went to sleep. Sometime in the middle of the night Holmes woke Watson up and said: “Watson, look up at the stars, and tell me what you see.”
Read the whole post –> Friday funny – drawing conclusions
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