A Comparison of Fixed and Random Effect Models by the Number of Research in the Meta-analysis Studies with and without an Outlier
Yazarlar (2)
Doç. Dr. Seda DEMİR AYÇİÇEK Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Mehmet Fatih Doğuyurt
Makale Türü Özgün Makale (Diğer hakemli uluslarası dergilerde yayınlanan tam makale)
Dergi Adı African Educational Research Journal
Dergi ISSN 2354-2160
Dergi Tarandığı Indeksler Journals Indexed in Eric
Makale Dili İngilizce Basım Tarihi 08-2022
Cilt / Sayı / Sayfa 10 / 3 / 277–290 DOI 10.30918/AERJ.103.22.035
Makale Linki http://www.netjournals.org/pdf/AERJ/2022/3/22-035.pdf
UAK Araştırma Alanları
Eğitimde Ölçme ve Değerlendirme
Özet
The purpose of this research was to compare the performances of the Fixed Effect Model (FEM) and the Random Effects Model (REM) in the meta-analysis studies conducted through 5, 10, 20 and 40 studies with an outlier and 4, 9, 19 and 39 studies without an outlier in terms of estimated common effect size, confidence interval coverage rate and heterogeneity measures. In this descriptive study, real data set consisting of different studies examining teachers' emotional burnout in terms of gender were used and a total of 72 meta-analyses were performed with R program. The results indicated that REM was more advantageous when compared to FEM for the meta-analysis of data sets with an outlier. On the other hand, without an outlier, it was determined that the common effect size was generally estimated to be similar for all methods. Moreover, the increase in the number of studies included in the meta-analysis reduced the effect of the outlier on the effect size estimation and decreased the
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