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How to make nothing out of something: Analyses of the impact of study sampling and statistical interpretation in misleading meta-analytic conclusions

机译:如何使事情变得一无所获:在误导性的荟萃分析结论中对研究抽样和统计解释的影响进行分析

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摘要

The limited resource model states that self-control is governed by a relatively finite set of inner resources on which people draw when exerting willpower. Once self-control resources have been used up or depleted, they are less available for other self-control tasks, leading to a decrement in subsequent self-control success. The depletion effect has been studied for over 20 years, tested or extended in more than 600 studies, and supported in an independent meta-analysis (Hagger et al., 2010). Meta-analyses are supposed to reduce bias in literature reviews. Carter et al.'s (2015) meta-analysis, by contrast, included a series of questionable decisions involving sampling, methods, and data analysis. We provide quantitative analyses of key sampling issues: exclusion of many of the best depletion studies based on idiosyncratic criteria and the emphasis on mini meta-analyses with low statistical power as opposed to the overall depletion effect. We discuss two key methodological issues: failure to code for research quality, and the quantitative impact of weak studies by novice researchers. We discuss two key data analysis issues: questionable interpretation of the results of trim and fill and Funnel Plot Asymmetry test procedures, and the use and misinterpretation of the untested Precision Effect Test and Precision Effect Estimate with Standard Error (PEESE) procedures. Despite these serious problems, the Carter et al. (2015) meta-analysis results actually indicate that there is a real depletion effect - contrary to their title.
机译:有限的资源模型指出,自我控制是由一组相对有限的内部资源控制的,人们在行使意志力时会汲取这些资源。一旦自我控制资源用尽或耗尽​​,它们将无法再用于其他自我控制任务,从而导致后续自我控制成功的减少。耗竭效应已经研究了20多年,在600多项研究中进行了测试或扩展,并得到了独立的荟萃分析的支持(Hagger等,2010)。荟萃分析应该减少文献综述中的偏见。相比之下,卡特(Carter)等人(2015)的荟萃分析包括一系列可疑的决策,涉及抽样,方法和数据分析。我们提供了关键采样问题的定量分析:排除许多基于特质标准的最佳耗竭研究,并且侧重于具有较低统计能力而不是整体耗竭效应的微型荟萃分析。我们讨论了两个关键的方法论问题:未能为研究质量编写代码,以及新手研究人员对弱项研究的定量影响。我们讨论了两个关键的数据分析问题:对修整和填充结果以及漏斗图不对称性测试程序的解释有问题,以及对未经测试的精密效果测试和标准误差的精确效果估计(PEESE)程序的使用和错误解释。尽管存在这些严重的问题,Carter等人。 (2015年)的荟萃分析结果实际上表明存在真正的耗竭效应-与标题相反。

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