Tag Archives: Causal inference

The Friday Funny: New Poll Shows Correlation is Causation

There have been quite a few posts on Genuine Evaluation on the topic of causation. We got a kick out of this satirical newspaper report of a polling showing that correlation is, in fact, causality. What a relief! A few … Continue reading

Posted in Causal inference, Friday Funnies | Tagged , , | 1 Comment

The Friday Funny: A review of RCTs on parachute use

We recently stumbled across this all-time classic that Genuine Evaluation readers may well appreciate!

Smith, G. C. S. & Pell, J. P. (2003, December). Parachute use to prevent death and major trauma related to gravitational challenge: systematic review of randomised controlled trials. BMJ, 327, 1459-1461. Continue reading

Posted in Causal inference, Friday Funnies, Health | Tagged , , , , | 1 Comment

£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 , , , , , , | 1 Comment

Friday Funny – How impact really works

“When people laugh, it is easier for them to admit new ideas to their minds.” (Dalai Lama, in an interview with John Cleese).

Terry Smutylo shows how serious issues in evaluation theory and practice can be communicated (and shared) in his song the “Output Outcome Downstream Impact Blues’. Check details for tour dates and the karoake version. Continue reading

Posted in Appropriate reporting, Causal inference, Friday Funnies, Professional development | Tagged , , , | 2 Comments

Does excessive Internet use cause depression?

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 depressed. Continue reading

Posted in Causal inference, Health, Information Technology | Tagged , | 3 Comments