文章基本信息

标题：Analysing Differential School Effectiveness Through Multilevel and Agent-Based Modelling
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作者：Mauricio Salgado ; Elio Marchione ; Nigel Gilbert 等
期刊名称：Journal of Artificial Societies and Social Simulation
印刷版ISSN：1460-7425
出版年度：2014
卷号：17
期号：4
页码：1-14
DOI：10.18564/jasss.2534
出版社：University of Surrey, Department of Sociology
摘要：During the last thirty years education researchers have developed models for judging the comparative performance of schools, in studies of what has become known as "differential school effectiveness". A great deal of empirical research has been carried out to understand why differences between schools might emerge, with variable-based models being the preferred research tool. The use of more explanatory models such as agent-based models (ABM) has been limited. This paper describes an ABM that addresses this topic, using data from the London Educational Authority's Junior Project . To compare the results and performance with more traditional modelling techniques, the same data are also fitted to a multilevel model (MLM), one of the preferred variable-based models used in the field. The paper reports the results of both models and compares their performances in terms of predictive and explanatory power. Although the fitted MLM outperforms the proposed ABM, the latter still offers a reasonable fit and provides a causal mechanism to explain differences in the identified school performances that is absent in the MLM. Since MLM and ABM stress different aspects, rather than conflicting they are compatible methods.
关键词：Agent-Based Modelling; Differential School Effectiveness; Multilevel Modelling; Peer Effects; Teacher Expectation Bias