Locating unregistered and unreported data for use in a social science systematic review and meta-analysis

• Main Authors: Joshua R. Polanin, Dorothy L. Espelage, Jennifer K. Grotpeter, Alberto Valido, Katherine M. Ingram, Cagil Torgal, America El Sheikh, Luz E. Robinson
• Format: Article
• Language: English
• Published: BMC 2020-05-01
• Series: Systematic Reviews
• Online Access: http://link.springer.com/article/10.1186/s13643-020-01376-9

Abstract Meta-analysts rely on the availability of data from previously conducted studies. That is, they rely on primary study authors to register their outcome data, either in a study’s text or on publicly available websites, and report the results of their work, either again in a study’s text or on publicly accessible data repositories. If a primary study author does not register data collection and similarly does not report the data collection results, the meta-analyst is at risk of failing to include the collected data. The purpose of this study is to attempt to locate one type of meta-analytic data: findings from studies that neither registered nor reported the collected outcome data. To do so, we conducted a large-scale search for potential studies and emailed an author query request to more than 600 primary study authors to ask if they had collected eligible outcome data. We received responses from 75 authors (12.3%), three of whom sent eligible findings. The results of our search confirmed our proof of concept (i.e., that authors collect data but fail to register or report it publicly), and the meta-analytic results indicated that excluding the identified studies would change some of our substantive conclusions. Cost analyses indicated, however, a high price to finding the missing studies. We end by reaffirming our calls for greater adoption of primary study pre-registration as well as data archiving in publicly available repositories.