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Effect size measure for mediation analysis with a multicategorical predictor
Many currently available effect size measures for mediation have limitations when the predictor is nominal with three or more categories. The mediation effect size measure υ was adopted for this situation. A simulation study was conducted to investigate the performance of its estimators. We manipula...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10036747/ https://www.ncbi.nlm.nih.gov/pubmed/36968723 http://dx.doi.org/10.3389/fpsyg.2023.1101440 |
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author | Cao, Zihuan Cham, Heining Stiver, Jordan Rivera Mindt, Monica |
author_facet | Cao, Zihuan Cham, Heining Stiver, Jordan Rivera Mindt, Monica |
author_sort | Cao, Zihuan |
collection | PubMed |
description | Many currently available effect size measures for mediation have limitations when the predictor is nominal with three or more categories. The mediation effect size measure υ was adopted for this situation. A simulation study was conducted to investigate the performance of its estimators. We manipulated several factors in data generation (number of groups, sample size per group, and effect sizes of paths) and effect size estimation [different R-squared (R(2)) shrinkage estimators]. Results showed that the Olkin–Pratt extended adjusted R(2) estimator had the least bias and the smallest MSE in estimating υ across conditions. We also applied different estimators of υ in a real data example. Recommendations and guidelines were provided about the use of this estimator. |
format | Online Article Text |
id | pubmed-10036747 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100367472023-03-25 Effect size measure for mediation analysis with a multicategorical predictor Cao, Zihuan Cham, Heining Stiver, Jordan Rivera Mindt, Monica Front Psychol Psychology Many currently available effect size measures for mediation have limitations when the predictor is nominal with three or more categories. The mediation effect size measure υ was adopted for this situation. A simulation study was conducted to investigate the performance of its estimators. We manipulated several factors in data generation (number of groups, sample size per group, and effect sizes of paths) and effect size estimation [different R-squared (R(2)) shrinkage estimators]. Results showed that the Olkin–Pratt extended adjusted R(2) estimator had the least bias and the smallest MSE in estimating υ across conditions. We also applied different estimators of υ in a real data example. Recommendations and guidelines were provided about the use of this estimator. Frontiers Media S.A. 2023-03-10 /pmc/articles/PMC10036747/ /pubmed/36968723 http://dx.doi.org/10.3389/fpsyg.2023.1101440 Text en Copyright © 2023 Cao, Cham, Stiver and Rivera Mindt. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Cao, Zihuan Cham, Heining Stiver, Jordan Rivera Mindt, Monica Effect size measure for mediation analysis with a multicategorical predictor |
title | Effect size measure for mediation analysis with a multicategorical predictor |
title_full | Effect size measure for mediation analysis with a multicategorical predictor |
title_fullStr | Effect size measure for mediation analysis with a multicategorical predictor |
title_full_unstemmed | Effect size measure for mediation analysis with a multicategorical predictor |
title_short | Effect size measure for mediation analysis with a multicategorical predictor |
title_sort | effect size measure for mediation analysis with a multicategorical predictor |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10036747/ https://www.ncbi.nlm.nih.gov/pubmed/36968723 http://dx.doi.org/10.3389/fpsyg.2023.1101440 |
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