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  • 标题:GSD: An SPSS extension command for sub-sampling and bootstrapping datasets
  • 本地全文:下载
  • 作者:Harding, Bradley ; Cousineau, Denis
  • 期刊名称:Tutorials in Quantitative Methods for Psychology
  • 电子版ISSN:1913-4126
  • 出版年度:2016
  • 卷号:12
  • 期号:2
  • 页码:138-146
  • DOI:10.20982/tqmp.12.2.p138
  • 出版社:Université de Montréal
  • 摘要:Statistical analyses have grown immensely since the inception of computational methods. However, many quantitative methods classes teach sampling and sub-sampling at a very abstract level despite the fact that, with the faster computers of today, these notions could be demonstrated live to the students. For this reason, we have created a simple extension module for SPSS that can sub-sample and Bootstrap data, GSD (Generator of Sub-sampled Data). In this paper, we describe and show how to use the GSD module as well as provide short descriptions of both the sub-sampling and Bootstrap methods. In addition, as this article aims to inspire instructors to introduce these concepts in their statistics classes of all levels, we provide three short exercises that are ready for curriculum implementation.
  • 关键词:statistics teaching; sub-sampling; Bootstrap
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