Effect size measures for multilevel models:definition, interpretation, and TIMSS example
Effect size measures for multilevel models:definition, interpretation, and TIMSS example
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DOI：
10.1186/s40536-018-0061-2
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发表时间：
2018-07-23
影响因子：
3.1
通讯作者：
Lorah, Julie
中科院分区：
文献类型：
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作者：
Lorah, Julie
效应大小报告对于解释应用研究结果和进行荟萃分析至关重要。然而，关于在多水平模型中报告效应大小的明确指导方针尚未提供。这份报告建议并论证了适当的效应大小衡量标准，包括随机效应的ICC和固定效应的标准化回归系数或f(2)。随后，探讨了报告R-2作为效应大小度量的复杂性，以及适用于更复杂模型的适当的效应大小度量，包括三水平模型和随机斜率模型。文中给出了一个使用TIMSS数据的实例。
Effect size reporting is crucial for interpretation of applied research results and for conducting meta-analysis. However, clear guidelines for reporting effect size in multilevel models have not been provided. This report suggests and demonstrates appropriate effect size measures including the ICC for random effects and standardized regression coefficients or f(2) for fixed effects. Following this, complexities associated with reporting R-2 as an effect size measure are explored, as well as appropriate effect size measures for more complex models including the three-level model and the random slopes model. An example using TIMSS data is provided.