Picturing repeated measures: Comments on Loftus, Morrison, and others
Picturing repeated measures: Comments on Loftus, Morrison, and others
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DOI：
10.3758/bf03200546
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发表时间：
1996-11-01
期刊：
影响因子：
--
通讯作者：
McArthur, D
中科院分区：
文献类型：
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作者：
Bakeman, R;McArthur, D
Loftus （1993b, 1995）建议研究人员常规地包括适当的平均值图以及95%的置信区间或其他可变性的指示，这是相当有价值的，但我们同意Morrison和Weaver（1995）的观点，即这种图可以补充但不能取代通常的方差分析结果报告。提供它们可能比Loftus和Masson（1994）所指出的更容易，特别是当错误条被理解为补充描述性工具时。我们建议一种通用的、统一的方法，适用于解释主体之间和主体内部的效应。通过分析确定不同的每组分数的可变性是单独估计的，因为这有助于更好地描述。原始分数用于科目之间的影响，分数调整为科目之间的可变性为科目内的影响。所有的计算和数字都可以使用通用的电子表格程序轻松完成。
Loftus's (1993b, 1995) recommendation that investigators routinely include plots of appropriate means along with 95% confidence intervals or some other indication of variability has considerable merit, yet we agree with Morrison and Weaver (1995) that such plots can supplement but not supplant the usual reporting of analysis of variance results. Providing them may be easier than Loftus and Masson (1994) indicated, especially when error bars are understood as supplemental descriptive devices. We suggest a general, unified approach that applies to the explication of both between- and within-subjects effects. Variability is estimated separately for each group of scores identified as different by analysis because this serves description better. Raw scores are used for between-subjects effects, scores adjusted for between-subjects variability for within-subjects effects. All computations and figures are easily effected using common spreadsheet programs.