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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-03-01
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| Series: | Frontiers in Psychology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1101440/full |
| _version_ | 1811155450517782528 |
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| author | Zihuan Cao Heining Cham Jordan Stiver Monica Rivera Mindt |
| author_facet | Zihuan Cao Heining Cham Jordan Stiver Monica Rivera Mindt |
| author_sort | Zihuan Cao |
| collection | DOAJ |
| 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 (R2) shrinkage estimators]. Results showed that the Olkin–Pratt extended adjusted R2 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. |
| first_indexed | 2024-04-10T04:34:11Z |
| format | Article |
| id | doaj.art-be0d81723a2a47f2a037f4d432e1251e |
| institution | Directory Open Access Journal |
| issn | 1664-1078 |
| language | English |
| last_indexed | 2024-04-10T04:34:11Z |
| publishDate | 2023-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychology |
| spelling | doaj.art-be0d81723a2a47f2a037f4d432e1251e2023-03-10T05:30:40ZengFrontiers Media S.A.Frontiers in Psychology1664-10782023-03-011410.3389/fpsyg.2023.11014401101440Effect size measure for mediation analysis with a multicategorical predictorZihuan CaoHeining ChamJordan StiverMonica Rivera MindtMany 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 (R2) shrinkage estimators]. Results showed that the Olkin–Pratt extended adjusted R2 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.https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1101440/fulleffect sizemediation analysiscategorical predictorsimulation studiesR-squared |
| spellingShingle | Zihuan Cao Heining Cham Jordan Stiver Monica Rivera Mindt Effect size measure for mediation analysis with a multicategorical predictor Frontiers in Psychology effect size mediation analysis categorical predictor simulation studies R-squared |
| 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 | effect size mediation analysis categorical predictor simulation studies R-squared |
| url | https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1101440/full |
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