Improving transparency in observational social science research: A pre-analysis plan approach

C-Tier
Journal: Economics Letters
Year: 2018
Volume: 168
Issue: C
Pages: 56-60

Score contribution per author:

1.005 = (α=2.01 / 1 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

Social science research has undergone a credibility revolution, but these gains are at risk due to problematic research practices. Existing research on transparency has centered around randomized controlled trials, which constitute only a small fraction of research in economics. In this paper, I highlight three scenarios in which study preregistration can be credibly applied in non-experimental settings: cases where researchers collect their own data; prospective studies; and research using restricted-access data.

Technical Details

RePEc Handle
repec:eee:ecolet:v:168:y:2018:i:c:p:56-60
Journal Field
General
Author Count
1
Added to Database
2026-01-25