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Published correlational effect sizes in social and developmental psychology
The distribution of effect sizes may offer insights about the research done and reported in a scientific field. We have evaluated 12 412 manually collected correlation effect sizes (Sample 1) and 31 157 computer-extracted correlation effect sizes (Sample 2) published in journals focused on social or...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9768465/ https://www.ncbi.nlm.nih.gov/pubmed/36569230 http://dx.doi.org/10.1098/rsos.220311 |
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author | Weinerová, Josefína Szűcs, Dénes Ioannidis, John P. A. |
author_facet | Weinerová, Josefína Szűcs, Dénes Ioannidis, John P. A. |
author_sort | Weinerová, Josefína |
collection | PubMed |
description | The distribution of effect sizes may offer insights about the research done and reported in a scientific field. We have evaluated 12 412 manually collected correlation effect sizes (Sample 1) and 31 157 computer-extracted correlation effect sizes (Sample 2) published in journals focused on social or developmental psychology. Sample 1 consisted of 243 studies from six journals published in 2010 and 2019. Sample 2 consisted of 5012 papers published in 10 journals between 2010 and 2019. The 25th, 50th and 75th effect size percentiles were 0.08, 0.17 and 0.33, and 0.17, 0.31 and 0.52 in Samples 1 and 2, respectively. Sample 2 percentiles were probably larger because Sample 2 only included effect sizes from the text but not from tables. In text authors may have emphasized larger correlations. Large sample sizes were associated with smaller reported correlations. In Sample 1 about 70% of studies specified a directional hypothesis. In 2010 no papers had power calculations, while in 2019 14% of papers had power calculations. These data offer empirical insights into the distribution of reported correlations and may inform the interpretation of effect sizes. They also demonstrate the importance of computation of statistical power and highlight potential reporting bias. |
format | Online Article Text |
id | pubmed-9768465 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-97684652022-12-23 Published correlational effect sizes in social and developmental psychology Weinerová, Josefína Szűcs, Dénes Ioannidis, John P. A. R Soc Open Sci Psychology and Cognitive Neuroscience The distribution of effect sizes may offer insights about the research done and reported in a scientific field. We have evaluated 12 412 manually collected correlation effect sizes (Sample 1) and 31 157 computer-extracted correlation effect sizes (Sample 2) published in journals focused on social or developmental psychology. Sample 1 consisted of 243 studies from six journals published in 2010 and 2019. Sample 2 consisted of 5012 papers published in 10 journals between 2010 and 2019. The 25th, 50th and 75th effect size percentiles were 0.08, 0.17 and 0.33, and 0.17, 0.31 and 0.52 in Samples 1 and 2, respectively. Sample 2 percentiles were probably larger because Sample 2 only included effect sizes from the text but not from tables. In text authors may have emphasized larger correlations. Large sample sizes were associated with smaller reported correlations. In Sample 1 about 70% of studies specified a directional hypothesis. In 2010 no papers had power calculations, while in 2019 14% of papers had power calculations. These data offer empirical insights into the distribution of reported correlations and may inform the interpretation of effect sizes. They also demonstrate the importance of computation of statistical power and highlight potential reporting bias. The Royal Society 2022-12-21 /pmc/articles/PMC9768465/ /pubmed/36569230 http://dx.doi.org/10.1098/rsos.220311 Text en © 2022 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Psychology and Cognitive Neuroscience Weinerová, Josefína Szűcs, Dénes Ioannidis, John P. A. Published correlational effect sizes in social and developmental psychology |
title | Published correlational effect sizes in social and developmental psychology |
title_full | Published correlational effect sizes in social and developmental psychology |
title_fullStr | Published correlational effect sizes in social and developmental psychology |
title_full_unstemmed | Published correlational effect sizes in social and developmental psychology |
title_short | Published correlational effect sizes in social and developmental psychology |
title_sort | published correlational effect sizes in social and developmental psychology |
topic | Psychology and Cognitive Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9768465/ https://www.ncbi.nlm.nih.gov/pubmed/36569230 http://dx.doi.org/10.1098/rsos.220311 |
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