Cheung Shu Fai, Pesigan Ivan Jacob Agaloos, Vong Weng Ngai
Department of Psychology, Faculty of Social Sciences, University of Macau, Avenida da Universidade, Taipa, Macao SAR, China.
Behav Res Methods. 2023 Feb;55(2):474-490. doi: 10.3758/s13428-022-01808-5. Epub 2022 Mar 15.
Researchers can generate bootstrap confidence intervals for some statistics in SPSS using the BOOTSTRAP command. However, this command can only be applied to selected procedures, and only to selected statistics in these procedures. We developed an extension command and prepared some sample syntax files based on existing approaches from the Internet to illustrate how researchers can (a) generate a large number of nonparametric bootstrap samples, (b) do desired analysis on all these samples, and (c) form the bootstrap confidence intervals for selected statistics using the OMS commands. We developed these tools to help researchers apply nonparametric bootstrapping to any statistics for which this method is appropriate, including statistics derived from other statistics, such as standardized effect size measures computed from the t test results. We also discussed how researchers can extend the tools for other statistics and scenarios they encounter.
研究人员可以在SPSS中使用BOOTSTRAP命令为某些统计量生成自助置信区间。然而，此命令仅适用于选定的过程，且仅适用于这些过程中的选定统计量。我们开发了一个扩展命令，并根据互联网上现有的方法准备了一些示例语法文件，以说明研究人员如何（a）生成大量非参数自助样本，（b）对所有这些样本进行所需的分析，以及（c）使用OMS命令为选定的统计量形成自助置信区间。我们开发这些工具是为了帮助研究人员将非参数自助法应用于该方法适用的任何统计量，包括从其他统计量派生的统计量，如根据t检验结果计算的标准化效应量指标。我们还讨论了研究人员如何将这些工具扩展到他们遇到的其他统计量和场景。
