2026-10-11T21:44:35Z
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2026-09-30T17:41:58Z
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<p>Probability of replication success if the true effect sizes of the original study and replication are different.</p>
Robbie C. M. van Aert (25145382)
Marcel A.L.M. van Assen (24951081)
Rubén López-Nicolás (25145385)
Biotechnology
Environmental Sciences not elsewhere classified
Ecology
Science Policy
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
xlink "> replications
typical sample sizes
replicated 274 effects
often insufficient information
drawing definite conclusions
open question remains
numerical study tailored
numerical study show
multiple research fields
favorable statistical properties
assessing replication success
score data revealed
scale replication project
one original study
replication success methods
statistical properties
replication success
open research
one replication
original study
statistical perspective
thirteen methods
analysis methods
systematizing confidence
substantially closer
second goal
score project
score data
replication compared
reliably draw
recommend researchers
recent large
potential bias
political science
null hypothesis
novel perspective
make sure
first goal
extended analysis
estimators based
<p>The included methods are whether the original study’s effect size is in the 95% confidence interval (CI) of the replication, equivalence test, Sceptical <i>p</i>-value, Hedges’ <i>Q</i>/95% prediction interval (PI), agreement in sign and statistical significance, and replication Bayes factor. The numbers on the right-hand side and on the top of the figure refer to the sample sizes of the original study and replication, respectively. The <i>x</i>-axis refers to the true Pearson correlation of the original study () and replication ().</p>
2026-09-30T17:41:57Z
Image
Figure
10.1371/journal.pone.0358126.g001
https://figshare.com/articles/figure/_p_Probability_of_replication_success_if_the_true_effect_sizes_of_the_original_study_and_replication_are_different_p_/34035855
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