I also conduct research on the generalizability issue, but from a different perspective. In my view, any attempt to measure effect heterogeneity (and by extension, research generalizability) is scale dependent. It is very difficult to tease apart genuine effect heterogeneity from the appearance of heterogeneity due to using an inappropriate scale to measure the effects.
In order to to get around this, I have constructed a new scale for measuring effects, which I believe is more natural than the alternative measures. My work on this is available on arXiv at...
The Meta-Research Innovation Center at Stanford (METRICS) is hiring post-docs for 2016/2017. The full announcement is available at http://metrics.stanford.edu/education/postdoctoral-fellowships. Feel free to contact me with any questions; I am currently a post-doc in this position.
METRICS is a research center within Stanford Medical School. It was set up to study the conditions under which the scientific process can be expected to generate accurate beliefs, for instance about the validity of evidence for the effect of interventions.
METRICS was founded ...
Thank you! I will think about whether I can come up with a catchier name for future publications (and about whether the benefits outweight the costs of rebranding).
If anyone has suggestions for a better name (for an effect measure that intuitively measures the probability that the exposure switches a person's outcome state), please let me know!