Interpreting t-Statistics Under Publication Bias: Rough Rules of Thumb

A key issue is how to interpret t-statistics when publication bias is present. In this paper we propose a set of rough rules of thumb to assist readers to interpret t-values in published results under publication bias. Unlike most previous methods that utilize collections of studies, our approach ev...

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Detalles Bibliográficos
Autor principal: Winship, Christopher 1950- (Autor)
Otros Autores: Zhuo, Xiaolin
Tipo de documento: Electrónico Artículo
Lenguaje:Inglés
Publicado: 2020
En: Journal of quantitative criminology
Año: 2020, Volumen: 36, Número: 2, Páginas: 329-346
Acceso en línea: Volltext (Resolving-System)
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Palabras clave:
Significance test
P-value
T-value
Publication bias
Descripción
Sumario:A key issue is how to interpret t-statistics when publication bias is present. In this paper we propose a set of rough rules of thumb to assist readers to interpret t-values in published results under publication bias. Unlike most previous methods that utilize collections of studies, our approach evaluates the strength of evidence under publication bias when there is only a single study.
ISSN:1573-7799
DOI:10.1007/s10940-018-9387-8