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Social science. Publication bias in the social sciences: unlocking the file drawer.
Franco, Annie; Malhotra, Neil; Simonovits, Gabor.
Afiliación
  • Franco A; Department of Political Science, Stanford University, Stanford, CA, USA.
  • Malhotra N; Graduate School of Business, Stanford University, Stanford, CA, USA. neilm@stanford.edu.
  • Simonovits G; Department of Political Science, Stanford University, Stanford, CA, USA.
Science ; 345(6203): 1502-5, 2014 Sep 19.
Article en En | MEDLINE | ID: mdl-25170047
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a known population of conducted studies--221 in total--in which there is a full accounting of what is published and unpublished.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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Ciencias Sociales / Sesgo de Publicación Tipo de estudio: Prognostic_studies Idioma: En Revista: Science Año: 2014 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Ciencias Sociales / Sesgo de Publicación Tipo de estudio: Prognostic_studies Idioma: En Revista: Science Año: 2014 Tipo del documento: Article País de afiliación: Estados Unidos