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Statistical properties of four effect-size measures for mediation models
This project examined the performance of classical and Bayesian estimators of four effect size measures for the indirect effect in a single-mediator model and a two-mediator model. Compared to the proportion and ratio mediation effect sizes, standardized mediation effect-size measures were relativel...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5809552/ https://www.ncbi.nlm.nih.gov/pubmed/28342072 http://dx.doi.org/10.3758/s13428-017-0870-1 |
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author | Miočević, Milica O’Rourke, Holly P. MacKinnon, David P. Brown, Hendricks C. |
author_facet | Miočević, Milica O’Rourke, Holly P. MacKinnon, David P. Brown, Hendricks C. |
author_sort | Miočević, Milica |
collection | PubMed |
description | This project examined the performance of classical and Bayesian estimators of four effect size measures for the indirect effect in a single-mediator model and a two-mediator model. Compared to the proportion and ratio mediation effect sizes, standardized mediation effect-size measures were relatively unbiased and efficient in the single-mediator model and the two-mediator model. Percentile and bias-corrected bootstrap interval estimates of ab/s (Y), and ab(s (X))/s (Y) in the single-mediator model outperformed interval estimates of the proportion and ratio effect sizes in terms of power, Type I error rate, coverage, imbalance, and interval width. For the two-mediator model, standardized effect-size measures were superior to the proportion and ratio effect-size measures. Furthermore, it was found that Bayesian point and interval summaries of posterior distributions of standardized effect-size measures reduced excessive relative bias for certain parameter combinations. The standardized effect-size measures are the best effect-size measures for quantifying mediated effects. |
format | Online Article Text |
id | pubmed-5809552 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-58095522018-02-22 Statistical properties of four effect-size measures for mediation models Miočević, Milica O’Rourke, Holly P. MacKinnon, David P. Brown, Hendricks C. Behav Res Methods Article This project examined the performance of classical and Bayesian estimators of four effect size measures for the indirect effect in a single-mediator model and a two-mediator model. Compared to the proportion and ratio mediation effect sizes, standardized mediation effect-size measures were relatively unbiased and efficient in the single-mediator model and the two-mediator model. Percentile and bias-corrected bootstrap interval estimates of ab/s (Y), and ab(s (X))/s (Y) in the single-mediator model outperformed interval estimates of the proportion and ratio effect sizes in terms of power, Type I error rate, coverage, imbalance, and interval width. For the two-mediator model, standardized effect-size measures were superior to the proportion and ratio effect-size measures. Furthermore, it was found that Bayesian point and interval summaries of posterior distributions of standardized effect-size measures reduced excessive relative bias for certain parameter combinations. The standardized effect-size measures are the best effect-size measures for quantifying mediated effects. Springer US 2017-03-24 2018 /pmc/articles/PMC5809552/ /pubmed/28342072 http://dx.doi.org/10.3758/s13428-017-0870-1 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Article Miočević, Milica O’Rourke, Holly P. MacKinnon, David P. Brown, Hendricks C. Statistical properties of four effect-size measures for mediation models |
title | Statistical properties of four effect-size measures for mediation models |
title_full | Statistical properties of four effect-size measures for mediation models |
title_fullStr | Statistical properties of four effect-size measures for mediation models |
title_full_unstemmed | Statistical properties of four effect-size measures for mediation models |
title_short | Statistical properties of four effect-size measures for mediation models |
title_sort | statistical properties of four effect-size measures for mediation models |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5809552/ https://www.ncbi.nlm.nih.gov/pubmed/28342072 http://dx.doi.org/10.3758/s13428-017-0870-1 |
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