有依赖效应大小的 Meta 分析中总体平均效应的功率近似值》的更正

IF 1.9 3区 心理学 Q2 EDUCATION & EDUCATIONAL RESEARCH Journal of Educational and Behavioral Statistics Pub Date : 2023-11-17 DOI:10.3102/10769986231207878
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Corrigendum to Power Approximations for Overall Average Effects in Meta-Analysis With Dependent Effect Sizes
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来源期刊
CiteScore
4.40
自引率
4.20%
发文量
21
期刊介绍: Journal of Educational and Behavioral Statistics, sponsored jointly by the American Educational Research Association and the American Statistical Association, publishes articles that are original and provide methods that are useful to those studying problems and issues in educational or behavioral research. Typical papers introduce new methods of analysis. Critical reviews of current practice, tutorial presentations of less well known methods, and novel applications of already-known methods are also of interest. Papers discussing statistical techniques without specific educational or behavioral interest or focusing on substantive results without developing new statistical methods or models or making novel use of existing methods have lower priority. Simulation studies, either to demonstrate properties of an existing method or to compare several existing methods (without providing a new method), also have low priority. The Journal of Educational and Behavioral Statistics provides an outlet for papers that are original and provide methods that are useful to those studying problems and issues in educational or behavioral research. Typical papers introduce new methods of analysis, provide properties of these methods, and an example of use in education or behavioral research. Critical reviews of current practice, tutorial presentations of less well known methods, and novel applications of already-known methods are also sometimes accepted. Papers discussing statistical techniques without specific educational or behavioral interest or focusing on substantive results without developing new statistical methods or models or making novel use of existing methods have lower priority. Simulation studies, either to demonstrate properties of an existing method or to compare several existing methods (without providing a new method), also have low priority.
期刊最新文献
Improving Balance in Educational Measurement: A Legacy of E. F. Lindquist A Simple Technique Assessing Ordinal and Disordinal Interaction Effects A Comparison of Latent Semantic Analysis and Latent Dirichlet Allocation in Educational Measurement Sample Size Calculation and Optimal Design for Multivariate Regression-Based Norming Corrigendum to Power Approximations for Overall Average Effects in Meta-Analysis With Dependent Effect Sizes
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