1) Journalists often want clear answers to life and social problems. Individual studies rarely deliver that…
3) Journalists are obsessed with what’s new. But it’s better to focus on what’s old…
6) There’s a difference between real-world significance and statistical significance
10) Always direct readers back to the original research
And yes, not confusing correlation and causation is on the list. This would indeed be a good list for journalists and the media to keep in mind; the typical social science study produces pretty modest findings. Occasionally, there are studies that truly challenge existing theories and findings or these shifts might happen across a short amount of time or within a few studies.
At the same time, this would be a good list for the general public as well or starting students in a social science statistics or research methods course. For example, students sometimes equate using statistics or numbers with “proof” but that is not really what social science studies provide. Instead, studies tend to provide probabilities – people are more or less likely to have a future behavior or attitude (and this is covered specifically in #5 in the list). Or, we may have to explain in class how studies add up over time and lead to a consensus within a discipline rather than having a single study provide all the evidence (#s 1, 2, 3 on the list).
