Evidence map›Paper›PMID 41254399›Full record

ArticleBehavior research methods2025

Spower: A general-purpose Monte Carlo simulation power analysis program.

R Philip Chalmers

Abstract read
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In one paragraph

Article in Behavior research methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

R Philip ChalmersDepartment of Psychology, York University, Toronto, Canada. chalmrp@yorku.ca.ORCID http://orcid.org/0000-0001-5332-2810

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article presents the software Spower, an R package designed as a general-purpose Monte Carlo simulation experiment tool to perform power analyses. The package includes complete customization capabilities with support for five distinct (expected) power analysis criteria (prospective/post hoc, a priori, compromise, sensitivity, and criterion), each of which reports the sampling uncertainty associated with the resulting estimates. Researchers may choose to define their own population generating and analysis function for their tailored simulation experiments, or may choose from a selection of the predefined simulation experiments available within the package. To facilitate comparability and further extensibility, simulation counterparts of the subroutines from the popular stand-alone software G*Power 3.1 (Faul et al., Behavior Research Methods, 41(4), 1149-1160 2009) are included within the package, along with other useful simulation experiment subroutines for improving estimation precision and creating visualizations.

Indexed as

Computer SimulationMonte Carlo MethodSoftwareHumansMonte Carlo simulationPower analysisR packageSoftwareStochastic root solving

Identifiers

What OpenQuestion holds

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Registered trials

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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.