Farklı Etki Büyüklüğü Ölçülerinin Aracılık Analizi Performansına Etkisi: Metodolojik Bir Çalışma
| dc.authorid | 0000-0001-8506-7623 | |
| dc.authorid | 0000-0002-2835-6979 | |
| dc.authorid | 0000-0001-5406-098X | |
| dc.contributor.author | Özel Erçel, Nihan | |
| dc.contributor.author | Örekici Temel, Gülhan | |
| dc.contributor.author | Çolak, Cemil | |
| dc.date.accessioned | 2026-01-19T13:29:47Z | |
| dc.date.available | 2026-01-19T13:29:47Z | |
| dc.date.issued | 2024 | |
| dc.department | Fakülteler, Tıp Fakültesi, Temel Tıp Bilimleri Bölümü, Biyoistatistik ve Tıp Bilişimi Ana Bilim Dalı | |
| dc.description.abstract | In mediation analysis, the use of effect size measures is extremely important to understand the strength and direction of the relationship between variables in depth and to de- termine the importance of the mediating variable effect. In the liter- ature, it is seen that there are few studies comparing the perfor- mance of effect size measures for mediation analysis. The aim of this study is to investigate the relationships between continuous variables and to compare the performances of effect size measures for mediation model. Material and Methods: In line with the ob- jective of the study, the performance of effect size measures for the mediation model was examined through a simulation study, consid- ering different sample sizes and small, medium, and large effect sizes. The comparison of effect size measures for the mediation model was conducted by examining bias values. Results: For the mediation model, it was observed that R2, as a measure of explained variance, had the least bias across all scenarios considered in the simulation. While mediation ratio measures required a minimum sample size of 500, R2 as a measure of explained variance exhibited good performance even with smaller sample sizes, such as 100. Conclusion: In models involving mediator variables, it is recom- mended to use alternative effect size measures in research, in addi- tion to a single measure, to comprehensively capture the strength of the relationship between variables. | |
| dc.identifier.citation | ERÇEL, N. Ö., TEMEL, G. O., ÇOLAK, C. (2024). The Effect of Different Effect Size Measures on Mediation Analysis Performance: A Methodological Study. Türkiye Klinikleri Biyoistatistik Dergisi, 16(3),140-149. doi.org/10.5336/biostatic.2024-107203 | |
| dc.identifier.endpage | 149 | |
| dc.identifier.issn | 1308-7894 | |
| dc.identifier.issue | 3 | |
| dc.identifier.startpage | 140 | |
| dc.identifier.uri | https://hdl.handle.net/11616/106332 | |
| dc.identifier.volume | 16 | |
| dc.language.iso | en | |
| dc.publisher | İnönü Üniversitesi | |
| dc.relation.ispartof | Türkiye Klinikleri Biyoistatistik Dergisi | |
| dc.relation.publicationcategory | Makale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.title | Farklı Etki Büyüklüğü Ölçülerinin Aracılık Analizi Performansına Etkisi: Metodolojik Bir Çalışma | |
| dc.title.alternative | The Effect of Different Effect Size Measures on Mediation Analysis Performance: A Methodological Study | |
| dc.type | Article |
