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...

Ausführliche Beschreibung

Gespeichert in:  
Bibliographische Detailangaben
1. VerfasserIn: Winship, Christopher 1950- (VerfasserIn)
Beteiligte: Zhuo, Xiaolin
Medienart: Elektronisch Aufsatz
Sprache:Englisch
Veröffentlicht: 2020
In: Journal of quantitative criminology
Jahr: 2020, Band: 36, Heft: 2, Seiten: 329-346
Online-Zugang: Volltext (Resolving-System)
Journals Online & Print:
Lade...
Verfügbarkeit prüfen: HBZ Gateway
Schlagwörter:
Beschreibung
Zusammenfassung: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