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Evaluating Expectations About Negative Emotional States of Aggressive Boys Using Bayesian Model Selection

机译:使用贝叶斯模型选择评估对侵略性男孩的负面情绪状态的期望

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摘要

Researchers often have expectations about the research outcomes in regard to inequality constraints between, e.g., group means. Consider the example of researchers who investigated the effects of inducing a negative emotional state in aggressive boys. It was expected that highly aggressive boys would, on average, score higher on aggressive responses toward other peers than moderately aggressive boys, who would in turn score higher than nonaggressive boys. In most cases, null hypothesis testing is used to evaluate such hypotheses. We show, however, that hypotheses formulated using inequality constraints between the group means are generally not evaluated properly. The wrong hypotheses are tested, i.e. the null hypothesis that group means are equal. In this article, we propose an innovative solution to these above-mentioned issues using Bayesian model selection, which we illustrate using a case study.
机译:研究人员通常对研究结果有期望,例如在群体均值之间的不平等约束方面。以研究人员为例,他们研究了在好斗的男孩中诱发负面情绪状态的影响。可以预期,高攻击性男孩在对其他同伴的攻击性反应上的平均得分将高于中度攻击性男孩,后者反过来又比非攻击性男孩更高。在大多数情况下,使用零假设检验来评估此类假设。但是,我们表明,使用群体均值之间的不平等约束条件提出的假设通常无法正确评估。测试了错误的假设,即组均值相等的原假设。在本文中,我们使用贝叶斯模型选择提出了针对上述问题的创新解决方案,并通过案例研究进行了说明。

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