Cited by 166Meta-analysis and systematic reviewsHealth Policy Implementation ScienceEvaluation and Performance Assessment

Replication in prevention science

Valentine, Jeffrey C., Biglan, Anthony, Boruch, Robert F., Castro, Felipe González, Collins, Linda M., Flay, Brian R., Kellam, Sheppard, Mościcki, Eve K. +1 more·2011·Prevention Science

Abstract

Replication research is essential for the advancement of any scientific field. In this paper, we argue that prevention science will be better positioned to help improve public health if (a) more replications are conducted; (b) those replications are systematic, thoughtful, and conducted with full knowledge of the trials that have preceded them; and (c) state-of-the art techniques are used to summarize the body of evidence on the effects of the interventions. Under real-world demands it is often not feasible to wait for multiple replications to accumulate before making decisions about intervention adoption. To help individuals and agencies make better decisions about intervention utility, we outline strategies that can be used to help understand the likely direction, size, and range of intervention effects as suggested by the current knowledge base. We also suggest structural changes that could increase the amount and quality of replication research, such as the provision of incentives and a more vigorous pursuit of prospective research registers. Finally, we discuss methods for integrating replications into the roll-out of a program and suggest that strong partnerships with local decision makers are a key component of success in replication research. Our hope is that this paper can highlight the importance of replication and stimulate more discussion of the important elements of the replication process. We are confident that, armed with more and better replications and state-of-the-art review methods, prevention science will be in a better position to positively impact public health.

Integrity signals

Registry

Crossref · 10.1007/s11121-011-0217-6

Cites

12 of 12 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • There is no single method for assessing the success or failure of replication attempts.

    “There is no single method for assessing the success or failure of replication attempts”

    From Investigating the replicability of preclinical cancer biology (2021) · cites this paper as Valentine et al., 2011

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Valentine, J. C., Biglan, A., Boruch, R. F., Castro, F. G., Collins, L. M., Flay, B. R., Kellam, S., Mościcki, E. K., & Schinke, S. P.
Affiliations
  • University of Louisville (US)
  • Oregon Research Institute (US)
  • University of Pennsylvania (US)
  • Arizona State University (US)
  • Pennsylvania State University (US)
  • Oregon State University (US)
  • American Institutes for Research (US)
  • Columbia University (US)
Corresponding author
Valentine, Jeffrey C.
Venue
Prevention Science
Published
2011-05-04
Volume
12
Issue
2
Pages
103-117
ISSN
  • 1389-4986 (ISSN-L)
  • 1573-6695
OpenAlex
W1985740357
Cited by
166
References
12
Citations by year
2026: 5 · 2025: 5 · 2024: 5 · 2023: 4 · 2022: 12 · 2021: 9 · 2020: 11 · 2019: 13 · 2018: 21 · 2017: 10 · 2016: 21 · 2015: 15 · 2014: 14 · 2013: 12 · 2012: 6
FWCI
11.63
Type
journal article
Language
en
Open access
closed
Locations
  • Prevention Science (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
  • Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Evaluation and Performance Assessment
Keywords
replication study, intervention effectiveness, evidence synthesis, research register, research incentives
MeSH terms
Health Services Research, Preventive Medicine, Reproducibility of Results

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review