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Effects of Plotting a Second Observer's Data on A-B-A-B Graphs When Observer Disagreement is Present

机译:存在观察者分歧时在A-B-A-B图上绘制第二观察者数据的影响

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Plotting data from a second observer have been suggested as an alternative to presenting only mean agreement and ranges across sessions. One argument against this method of reporting is that plotting these data would not change analysis decisions by persons analyzing graphs. To empirically test this argument, we asked graduate students to analyze graphs with and without data from a second observer plotted alongside primary data. Results show that when these data are plotted: (a) observers do not change analysis decisions when both or neither paths show a functional relation, (b) observers change analysis decisions when only one path shows a functional relation, though this varied across graphs and participants, and (c) observers who did not change analysis decisions when only one path showed a functional relation often rated their decision with less confidence than when both paths showed a functional relation or when only summary statistics are reported. Findings suggest plotting data from a second observer may be helpful in making analysis decisions for A-B-A-B graphs.
机译:已经提出了从第二个观察者绘制数据的方法,作为仅表示平均同意和跨会话范围的一种替代方法。一种反对这种报告方法的论点是,绘制这些数据不会改变分析图形的人的分析决定。为了实证检验这一论点,我们要求研究生分析带有或不带有来自与主要数据一起绘制的第二个观察者的数据的图表。结果表明,当绘制这些数据时:(a)当两个路径或两个路径都不显示功能关系时,观察者不更改分析决策;(b)当一个路径显示功能关系时,观察者不更改分析决策,尽管这在图形和图表之间有所不同。参与者,以及(c)当只有一条路径显示功能关系时不更改分析决定的观察者通常比两条路径都显示功能关系时或仅报告汇总统计信息时没有把握地对他们的决策进行评估。研究结果表明,绘制第二个观察者的数据可能有助于做出A-B-A-B图的分析决策。

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