Using confidence intervals for graphically based data interpretation
Using confidence intervals for graphically based data interpretation
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DOI：
10.1037/h0087426
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发表时间：
2003-09-01
影响因子：
1.3
通讯作者：
Loftus, GR
中科院分区：
文献类型：
--
作者：
Masson, MEJ;Loftus, GR
作为一个潜在的替代标准的零假设的显着性检验，我们描述的方法图形化呈现的数据-特别是条件的手段及其相应的置信区间-广泛的析因设计中使用的实验心理学。我们描述并说明了置信区间特别适用于受试者与受试者内因素。对于涉及两个以上水平的因子的设计，我们描述了对比的使用，用于主效应和交互作用的理论上有意义的分量的图形说明。这些图形技术有助于对统计功效进行自然和直接的评估。
As a potential alternative to standard null hypothesis significance testing, we describe methods for graphical presentation of data - particularly condition means and their corresponding confidence intervals - for a wide range of factorial designs used in experimental psychology. We describe and illustrate confidence intervals specifically appropriate for between-subject versus within-subject factors. For designs involving more than two levels of a factor, we describe the use of contrasts for graphical illustration of theoretically meaningful components of main effects and interactions. These graphical techniques lend themselves to a natural and straightforward assessment of statistical power.