0000000000548489

AUTHOR

Luciana Cibils-martina

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Quantifying and addressing the prevalence and bias of study designs in the environmental and social sciences

2020

Building trust in science and evidence-based decision-making depends heavily on the credibility of studies and their findings. Researchers employ many different study designs that vary in their risk of bias to evaluate the true effect of interventions or impacts. Here, we empirically quantify, on a large scale, the prevalence of different study designs and the magnitude of bias in their estimates. Randomised designs and controlled observational designs with pre-intervention sampling were used by just 23% of intervention studies in biodiversity conservation, and 36% of intervention studies in social science. We demonstrate, through pairwise within-study comparisons across 49 environmental da…

0106 biological sciencesResearch designScientific communitySCIENTIFIC COMMUNITYMedio ambiente naturalsosiaalitieteetPsychological interventionGeneral Physics and AstronomySocial SciencesQH7501 natural sciencesEnvironmental impact//purl.org/becyt/ford/1 [https]010104 statistics & probability/706/648CredibilityPrevalenceSocial scienceComputingMilieux_MISCELLANEOUSGEMultidisciplinaryEcologyQarticleSampling (statistics)Biodiversitynäyttöön perustuvat käytännötsatunnaistetut vertailukokeetENVIRONMENTAL IMPACTResearch designResearch DesignScale (social sciences)[SDE]Environmental SciencesH1ScienceEnvironment010603 evolutionary biologyGeneral Biochemistry Genetics and Molecular BiologySocial sciencesBiastutkimusmenetelmätQH541/704/172/4081Humans0101 mathematics//purl.org/becyt/ford/1.6 [https]ympäristötieteetpoliittinen päätöksentekoClinical study designmetodologia/706/689General Chemistry15. Life on landEcologíaLiteraturePairwise comparisonObservational study/631/158luotettavuusBias; Biodiversity; Ecology; Environment; Humans; Literature; Prevalence; Research Design; Social SciencesNature Communications
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