Evidence map›Paper›PMID 30719688›Full record

ArticleBehavior research methods2019

A tutorial on Bayes Factor Design Analysis using an informed prior.

Angelika M Stefan, Quentin F Gronau, Felix D Schönbrodt, Eric-Jan Wagenmakers

Registry-linked trialAbstract read
In one paragraph

Article in Behavior research methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06781021 (The Effect of Tranexamic Acid Vs Torniquet on Visual Clarity in Knee Arthroscopic Anterior Cruciate Ligament), which is not on this map. Cited by 100 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
100citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06781021 naenrolling by invitationnot on this mapstarted 2024, after this paper: background citation

The Effect of Tranexamic Acid Vs Torniquet on Visual Clarity in Knee Arthroscopic Anterior Cruciate Ligament (ACL) Reconstruction

TypeinterventionalSponsorThe University of The West IndiesRan2024 to 2026Enrolled60ConditionsACL TearsArmsTourniquet, TXA
3 · Its place in the literature

Who cites it

100 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  7. Divergent effects of oxytocin on "mind-reading" in healthy males.Cognitive, affective & behavioral neuroscience · 2022
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40 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Angelika M StefanDepartment of Psychology, Faculty of Behavioral and Social Sciences, University of Amsterdam, Nieuwe Achtergracht 129-B, 1018WS, Amsterdam, The Netherlands. angelika.stefan@gmx.de.
Quentin F GronauDepartment of Psychology, Faculty of Behavioral and Social Sciences, University of Amsterdam, Nieuwe Achtergracht 129-B, 1018WS, Amsterdam, The Netherlands.
Felix D SchönbrodtDepartment of Psychology, Ludwig-Maximilians-Universität München, München, Germany.
Eric-Jan WagenmakersDepartment of Psychology, Faculty of Behavioral and Social Sciences, University of Amsterdam, Nieuwe Achtergracht 129-B, 1018WS, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Well-designed experiments are likely to yield compelling evidence with efficient sample sizes. Bayes Factor Design Analysis (BFDA) is a recently developed methodology that allows researchers to balance the informativeness and efficiency of their experiment (Schönbrodt & Wagenmakers, Psychonomic Bulletin & Review, 25(1), 128-142 2018). With BFDA, researchers can control the rate of misleading evidence but, in addition, they can plan for a target strength of evidence. BFDA can be applied to fixed-N and sequential designs. In this tutorial paper, we provide an introduction to BFDA and analyze how the use of informed prior distributions affects the results of the BFDA. We also present a user-friendly web-based BFDA application that allows researchers to conduct BFDAs with ease. Two practical examples highlight how researchers can use a BFDA to plan for informative and efficient research designs.

Indexed as

Bayes TheoremFactor Analysis, StatisticalResearch DesignSample SizeBayes factorDesign analysisPower analysisSample sizeStatistical evidence

Identifiers

PMID30719688
PMCPMC6538819

What OpenQuestion holds

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LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.