On accumulation of information and model selection
Ido Erev · Behavioral and Brain Sciences · 2001
This commentary extends Hertwig & Ortmann's analysis by asking how stricter model selection conventions can facilitate the accumulation of information from experimental studies. In many cases researchers are currently motivated to summarize their data with ambiguous and/or multi parameter models. A “generality first” convention can help eliminate this problem.