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首页> 外文期刊>Journal of Applied Psychology >Are Common Language Effect Sizes Easier to Understand Than Traditional Effect Sizes?
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Are Common Language Effect Sizes Easier to Understand Than Traditional Effect Sizes?

机译：普通语言的效果大小比传统的效果大小更容易理解吗？

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摘要

Communicating the results of research to nonscientists presents many challenges. Among these challenges is communicating the effectiveness of an intervention in a way that people untrained in statistics can understand. Use of traditional effect size metrics (e.g., r, r~2) has been criticized as being confusing to general audiences. In response, researchers have developed nontraditional effect size indicators (e.g., binomial effect size display, common language effect size indicator) with the goal of presenting information in a more understandable manner. The studies described here present the first empirical test of these claims of understandability. Results show that nontraditional effect size indicators are perceived as more understandable and useful than traditional indicators for communicating the effectiveness of an intervention. People also rated training programs as more effective and were willing to pay more for programs whose effectiveness was described using the nontraditional effect size metrics.
机译：与非科学家交流研究结果提出了许多挑战。在这些挑战中，以一种未经统计学培训的人可以理解的方式来传达干预措施的有效性。传统效果大小量度（例如r，r〜2）的使用已被批评为让普通观众感到困惑。作为响应，研究人员开发了非传统的效果大小指示符（例如，二项式效果大小显示，通用语言效果大小指示符），目的是以更易于理解的方式呈现信息。这里描述的研究是对这些可理解性主张的首次实证检验。结果表明，与传统指标相比，非传统效果大小指标在传达干预效果方面被认为更易于理解和有用。人们还认为培训计划更有效，并且愿意为使用非传统效果量度指标描述其效果的计划支付更高的费用。

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