Evidence map›Paper›PMID 35444495›Full record

ArticleBehavioral ecology : official journal of the International Society for Behavioral Ecology

Structural equation modeling reveals determinants of fitness in a cooperatively breeding bird.

Michela Busana, Franz J Weissing, Martijn Hammers, Joke Bakker, Hannah L Dugdale, Sara Raj Pant, David S Richardson, Terrence A Burke, Jan Komdeur

Abstract read
In one paragraph

Article in Behavioral ecology : official journal of the International Society for Behavioral Ecology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Structural equation modeling reveals determinants of fitness in a cooperatively breeding bird.Behavioral ecology : official journal of the International Society for Behavioral Ecology
    Article
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

9 authors.

Michela BusanaGroningen Institute for Evolutionary Life Sciences, University of Groningen, 9700 CC Groningen, The Netherlands.ORCID https://orcid.org/0000-0002-3806-8575
Franz J WeissingGroningen Institute for Evolutionary Life Sciences, University of Groningen, 9700 CC Groningen, The Netherlands.ORCID https://orcid.org/0000-0003-3281-663X
Martijn HammersGroningen Institute for Evolutionary Life Sciences, University of Groningen, 9700 CC Groningen, The Netherlands.
Joke BakkerGroningen Institute for Evolutionary Life Sciences, University of Groningen, 9700 CC Groningen, The Netherlands.
Hannah L DugdaleGroningen Institute for Evolutionary Life Sciences, University of Groningen, 9700 CC Groningen, The Netherlands.ORCID https://orcid.org/0000-0001-8769-0099
Sara Raj PantGroningen Institute for Evolutionary Life Sciences, University of Groningen, 9700 CC Groningen, The Netherlands.ORCID https://orcid.org/0000-0003-4168-7390
David S RichardsonSchool of Biological Sciences, University of East-Anglia, Norwich NR4 7TJ, UK.ORCID https://orcid.org/0000-0001-7226-9074
Terrence A BurkeDepartment of Animal and Plant Sciences, University of Sheffield  S10 2TN, Sheffield, UK.
Jan KomdeurGroningen Institute for Evolutionary Life Sciences, University of Groningen, 9700 CC Groningen, The Netherlands.ORCID https://orcid.org/0000-0002-9241-0124

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Even in well-studied organisms, it is often challenging to uncover the social and environmental determinants of fitness. Typically, fitness is determined by a variety of factors that act in concert, thus forming complex networks of causal relationships. Moreover, even strong correlations between social and environmental conditions and fitness components may not be indicative of direct causal links, as the measured variables may be driven by unmeasured (or unmeasurable) causal factors. Standard statistical approaches, like multiple regression analyses, are not suited for disentangling such complex causal relationships. Here, we apply structural equation modeling (SEM), a technique that is specifically designed to reveal causal relationships between variables, and which also allows to include hypothetical causal factors. Therefore, SEM seems ideally suited for comparing alternative hypotheses on how fitness differences arise from differences in social and environmental factors. We apply SEM to a rich data set collected in a long-term study on the Seychelles warbler (

Indexed as

cooperative breedingextra-group paternityreproductive outputsex differencesSeychelles warblersstructural equation model

Identifiers

PMID35444495
PMCPMC9015215

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.