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Translating the Statistical Representation of the Effects of Education Interventions Into More Readily Interpretable Forms.

机译:将教育干预效果的统计表示转化为更易于解释的形式。

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The primary purpose of this paper is to provide suggestions to researchers about ways to present statistical findings about the effects of educational interventions that might make the nature and magnitude of those effects easier to understand. These suggestions and the related discussion are framed within the context of studies that use experimental designs to compare measured outcomes for two groups of participants, one in an intervention condition and the other in a control condition. Though this is a common and, in many ways, prototypical form for studies of intervention effects, there are other important forms. Though not addressed directly, much of what is suggested here can be applied with modest adaptation to experimental studies that compare outcomes for more than two groups or compare conditions that do not include a control (e.g., compare different interventions), and to quasi-experiments that compare outcomes for nonrandomized groups. Other kinds of intervention studies that appear in educational research are beyond the scope of this paper. Most notable among those other kinds are observational studies, e.g., multivariate analysis of the relationship across schools between natural variation in per pupil funding and student achievement, and single case research designs such as those often used in special education contexts to investigate the effects of interventions for children with low-incidence disabilities.

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