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Distorted meta-analytic findings on peer influence: A reanalysis

In a recent meta-analysis, Giletta et al. (2021) [1] found a positive effect of peers' behavior at time 1 on target youths' behavior at time 2 while adjusting for target youths’ behavior at time 1 and claimed to have quantified peer influence. However, it is established that controlled cro...

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Detalles Bibliográficos
Autores principales: Sorjonen, Kimmo, Nilsonne, Gustav, Melin, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10632712/
https://www.ncbi.nlm.nih.gov/pubmed/37954301
http://dx.doi.org/10.1016/j.heliyon.2023.e21458
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author Sorjonen, Kimmo
Nilsonne, Gustav
Melin, Bo
author_facet Sorjonen, Kimmo
Nilsonne, Gustav
Melin, Bo
author_sort Sorjonen, Kimmo
collection PubMed
description In a recent meta-analysis, Giletta et al. (2021) [1] found a positive effect of peers' behavior at time 1 on target youths' behavior at time 2 while adjusting for target youths’ behavior at time 1 and claimed to have quantified peer influence. However, it is established that controlled cross-lagged effects could be due to correlations with measurement errors and reversion in the direction of the mean rather than due to true decreasing or increasing effects. Here, in a reanalysis of the same meta-analytic data as used by Giletta et al., we found that peer influence, as operationalized by Giletta et al., may have been distorted (i.e. spurious). We do not claim that peer influence does not exist, but it may be hard, maybe not even possible, to prove by analyses of observational data that it does exist. Difficulties to prove causal effects by analyses of observational data is common for all areas of research and not specific for research on peer influence.
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spelling pubmed-106327122023-11-10 Distorted meta-analytic findings on peer influence: A reanalysis Sorjonen, Kimmo Nilsonne, Gustav Melin, Bo Heliyon Research Article In a recent meta-analysis, Giletta et al. (2021) [1] found a positive effect of peers' behavior at time 1 on target youths' behavior at time 2 while adjusting for target youths’ behavior at time 1 and claimed to have quantified peer influence. However, it is established that controlled cross-lagged effects could be due to correlations with measurement errors and reversion in the direction of the mean rather than due to true decreasing or increasing effects. Here, in a reanalysis of the same meta-analytic data as used by Giletta et al., we found that peer influence, as operationalized by Giletta et al., may have been distorted (i.e. spurious). We do not claim that peer influence does not exist, but it may be hard, maybe not even possible, to prove by analyses of observational data that it does exist. Difficulties to prove causal effects by analyses of observational data is common for all areas of research and not specific for research on peer influence. Elsevier 2023-10-24 /pmc/articles/PMC10632712/ /pubmed/37954301 http://dx.doi.org/10.1016/j.heliyon.2023.e21458 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Sorjonen, Kimmo
Nilsonne, Gustav
Melin, Bo
Distorted meta-analytic findings on peer influence: A reanalysis
title Distorted meta-analytic findings on peer influence: A reanalysis
title_full Distorted meta-analytic findings on peer influence: A reanalysis
title_fullStr Distorted meta-analytic findings on peer influence: A reanalysis
title_full_unstemmed Distorted meta-analytic findings on peer influence: A reanalysis
title_short Distorted meta-analytic findings on peer influence: A reanalysis
title_sort distorted meta-analytic findings on peer influence: a reanalysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10632712/
https://www.ncbi.nlm.nih.gov/pubmed/37954301
http://dx.doi.org/10.1016/j.heliyon.2023.e21458
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