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P. Wörfel,M. Bitzer,U. Claus,H. Felber,M. Hübel,B. Vollenweider.Includes supplementary material: .Multilevel analysis is the statistical analysis of hierarchically and non-hierarchically nested data. The simplest example is clustered data, such as a sample of students clustered within schools. Multilevel data are especially prevalent in the social and behavioraopinionated 发表于 2025-3-22 07:08:59
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P. Wörfel,M. Bitzer,U. Claus,H. Felber,M. Hübel,B. Vollenweider to reflect on the materials choice, curriculum design, and lesson activities to share the strategies undertaken by the teachers to promote multilingualism, diversity, and pluralism in the GELT classroom. We discuss the implications for curriculum development and program administration in fostering河流 发表于 2025-3-22 23:13:54
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P. Wörfel,M. Bitzer,U. Claus,H. Felber,M. Hübel,B. Vollenweiders useful for empirical researchers in these fields. Prior knowledge of multilevel analysis is not required, but a basic knowledge of regression analysis, (asymptotic) statistics, and matrix algebra is assumed..978-1-4419-2512-1978-0-387-73186-5使混合 发表于 2025-3-23 08:10:14
P. Wörfel,M. Bitzer,U. Claus,H. Felber,M. Hübel,B. Vollenweiders useful for empirical researchers in these fields. Prior knowledge of multilevel analysis is not required, but a basic knowledge of regression analysis, (asymptotic) statistics, and matrix algebra is assumed..978-1-4419-2512-1978-0-387-73186-5