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21 changes: 21 additions & 0 deletions discussion.qmd
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Expand Up @@ -172,6 +172,27 @@ Whether that generalises to the setting of the original study needs to
be considered in light of theory, and might be a legitimate matter of
contention.

These difficulties point to a partly irreducible source of disagreement
about replication success. Because experimental control is limited and
the space of possible moderators is vast, experts often cannot decide
unambiguously whether divergent results reflect a genuine failure to
replicate the original effect or a violation of the *ceteris paribus*
assumption between the original study and the replication, a version of
Collins' experimenter's
regress that Sarisoy [-@Sarisoy2025] examines in detail. On this account,
sustained disagreement about whether a replication succeeded can reflect
legitimate normative judgements that researchers make when the evidence
underdetermines the conclusion, rather than necessarily indicating poor research practice.
Sarisoy argues that such disagreements become more tractable once
researchers are transparent about a replication's intended *epistemic
function*, whether it is designed to test the reliability (stability) of
an effect, to probe a specific validity threat, or to assess
generalisation to a new context, because each function carries different
standards for what would count as success. Declaring this purpose, in
addition to pre-specifying which effects are of primary interest (see
@sec-success-criteria), helps to recast debates as disagreements about
what a replication was meant to show.

## The Role of Differences for the Interpretation of Findings {#sec-differences-and-interpretation}

Each replication outcome should be evaluated in the light of its
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11 changes: 11 additions & 0 deletions references.bib
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Expand Up @@ -1359,6 +1359,17 @@ @article{RosenbergFinn2022
doi = {10.1038/s41593-022-01110-9}
}

@article{Sarisoy2025,
author = {Sarisoy, J.},
title = {Why we disagree about the success of replications},
journal = {Journal for General Philosophy of Science},
volume = {56},
number = {3},
pages = {307-324},
year = {2025},
doi = {10.1007/s10838-024-09709-1}
}

@article{SchauerHedges2021,
author = {Schauer, J. M. and Hedges, L. V.},
title = {Reconsidering statistical methods for assessing replication},
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