login

Publication bias in the social sciences: Unlocking the file drawer

SciencePublished 29 August 2014
Annie Franco, Neil Malhotra, Gábor Simonovits
Citations1,592
SJR quartileQ1
SJR score10.42
SNIP6.62

TL;DR

Fully half of peer-reviewed and implemented social science experiments are not published, providing direct evidence of publication bias and identifying the stage of research production at which publication bias occurs: Authors do not write up and submit null findings.

Abstract

We studied publication bias in the social sciences by analyzing a known population of conducted studies--221 in total--in which there is a full accounting of what is published and unpublished. We leveraged Time-sharing Experiments in the Social Sciences (TESS), a National Science Foundation-sponsored program in which researchers propose survey-based experiments to be run on representative samples of American adults. Because TESS proposals undergo rigorous peer review, the studies in the sample all exceed a substantial quality threshold. Strong results are 40 percentage points more likely to be published than are null results and 60 percentage points more likely to be written up. We provide direct evidence of publication bias and identify the stage of research production at which publication bias occurs: Authors do not write up and submit null findings.

Keywords

Computer ScienceDecision Sciences