Predicting replication outcomes and generalizability of results
Anna Dreber
What the paper says
I discuss reasons for why false-positive results are produced and published and report the results from large-scale replication projects where laboratory experiments are redone with new data to test the same hypotheses as in the original studies. In some of this work my collaborators and I have also added prediction markets and decision markets to study whether researchers can predict replication outcomes. The results suggest some but not perfect “wisdom of crowds.” I also discuss potential solutions to replication problems, including potential credibility problems and solutions for nonexperimental results.
2 citations
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.25 × 0.4 = 0.10 |
| M · momentum | 0.55 × 0.15 = 0.08 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.