Results 21 to 30 of about 4,803,750 (317)
Examining publication bias—a simulation-based evaluation of statistical tests on publication bias [PDF]
PeerJ, 2017 Background Publication bias is a form of scientific misconduct. It threatens the validity of research results and the credibility of science. Although several tests on publication bias exist, no in-depth evaluations are available that examine which test ...
Andreas Schneck
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Psychological science from 'publish or perish' to 'trust but verify' [PDF]
Zbornik Radova Filozofskog Fakulteta u Prištini, 2021 At the time when social psychologists believed they could be proud of their discipline, there was the devastating news that Diederik Stapel had committed a major scientific fraud.
Keljanović Anđela D.
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Unpacking P-Hacking and Publication Bias
Social Science Research Network, 2023 We use unique data from journal submissions to identify and unpack publication bias and p-hacking. We find initial submissions display significant bunching, suggesting the distribution among published statistics cannot be fully attributed to a ...
A. Brodeur +3 more
semanticscholar +1 more source
Methods for testing publication bias in ecological and evolutionary meta‐analyses
Methods in Ecology and Evolution, 2021 Publication bias threatens the validity of quantitative evidence from meta‐analyses as it results in some findings being overrepresented in meta‐analytic datasets because they are published more frequently or sooner (e.g.
S Nakagawa +8 more
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Advances in Methods and Practices in Psychological Science, 2022 Meta-analyses are essential for cumulative science, but their validity can be compromised by publication bias. To mitigate the impact of publication bias, one may apply publication-bias-adjustment techniques such as precision-effect test and precision ...
František Bartoš +3 more
semanticscholar +1 more source
Publication bias in recent meta-analyses. [PDF]
PLoS ONE, 2013 INTRODUCTION: Positive results have a greater chance of being published and outcomes that are statistically significant have a greater chance of being fully reported.
Michal Kicinski
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Robust Bayesian meta-analysis: Addressing publication bias with model-averaging.
Psychological methods, 2022 Meta-analysis is an important quantitative tool for cumulative science, but its application is frustrated by publication bias. In order to test and adjust for publication bias, we extend model-averaged Bayesian meta-analysis with selection models.
Maximilian Maier +2 more
semanticscholar +1 more source
Is publication bias present in gastroenterological research? An analysis of abstracts presented at an annual congress [PDF]
PeerJ, 2018 Background Publication bias is the tendency of investigators, reviewers, and editors to submit or accept manuscripts for publication based on their direction or strength of findings.
Chase Meyer +3 more
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Publication bias in prevalence studies should not be ignored [PDF]
Systematic ReviewsMasoud Mohammadi
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, 2022 Meta-analysis is the statistical method for synthesizing studies on the same topic and is often used in clinical psychology to quantify the efficacy of treatments. A major threat to the validity of meta-analysis is publication bias, which implies that some studies are less likely to be published and are therefore less often included in a meta-analysis.
van Aert, Robbie, Niemeyer, Helen
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