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...
| VerfasserInnen: | ; |
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| Medienart: | Elektronisch Aufsatz |
| Sprache: | Englisch |
| Veröffentlicht: |
2020
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| In: |
Journal of quantitative criminology
Jahr: 2020, Band: 36, Heft: 2, Seiten: 329-346 |
| Online-Zugang: |
Volltext (Resolving-System) |
| Journals Online & Print: | |
| Verfügbarkeit prüfen: | HBZ Gateway |
| Schlagwörter: |
| 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. |
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| ISSN: | 1573-7799 |
| DOI: | 10.1007/s10940-018-9387-8 |
