Extending improvement-over-chance I-index effect size simulation studies to cover some small-sample cases

Natesan P; Thompson B

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Extending improvement-over-chance I-index effect size simulation studies to cover some small-sample cases

机译：扩展机会改进I指数效应大小模拟研究以涵盖一些小样本案例

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All effect sizes are sensitive to design flaws and the failure to meet analytic assumptions. But some effect sizes appear to be more robust to assumption violations (e.g., homogeneity of variance). The present study extended prior Monte Carlo research by exploring the robustness of group overlap I indices at the relatively small sample sizes used in some research. I effects are statistically appealing because these indices can be applied across (a) both univariate and multivariate analyses and (b) conditions of either variance homogeneity or variance heterogeneity.

机译：所有效果大小都对设计缺陷和未能满足分析假设的情况敏感。但是某些效应大小似乎对于假设违规（例如方差的同质性）更为稳健。本研究通过探索某些研究中使用的相对较小样本量的组重叠I指数的鲁棒性，扩展了先前的蒙特卡洛研究。由于这些指数可以应用于（a）单变量和多变量分析，以及（b）方差同质性或方差异质性的条件，因此在统计上具有吸引力。

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《Educational and Psychological Measurement》 |2007年第26期|共14页
作者
Natesan P; Thompson B;
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正文语种 eng
中图分类教育心理学;
关键词
effect size; statistical significance; practical significance; clinical significance; simulation studies; LOGISTIC-REGRESSION; PSYCHOLOGY; CLASSIFICATION; KNOWLEDGE;

机译：效应大小;统计意义;实践意义;临床意义;模拟研究;逻辑回归;心理学;分类;知识;

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Extending improvement-over-chance I-index effect size simulation studies to cover some small-sample cases

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