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Detecting Changes in Simulated Events Using Partial-Interval Recording and Momentary Time Sampling III: Evaluating Sensitivity as a Function of Session Length

机译:使用部分间隔记录和瞬时时间采样来检测模拟事件中的变化III:评估作为会话长度函数的灵敏度

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摘要

In a series of two studies, we graphed simulated data representing continuous duration recording and continuous frequency recording into ABAB reversal designs depicting small, moderate, and large behavior changes during 10-min, 30-min, and 60-min sessions. Data sets were re-scored using partial-interval recording and momentary time sampling with interval sizes set at 10s, 20s, 30s, 1min, and 2min. In study 1, we visually inspected converted data for experimental control and compared the conclusion with those from the respective continuous duration recording or continuous frequency recording data to test for false negatives. In study 2, we evaluated the extent to which interval methods that were sensitive to changes in study 1 produced false positives. In part, the results show that momentary time sampling with interval sizes up to 30s detected a wide range of changes in duration events and frequency events during lengthier observation periods. The practical implications of the findings are briefly discussed.
机译:在一系列的两项研究中,我们将代表连续持续时间记录和连续频率记录的模拟数据绘制成ABAB反转设计,以描述在10分钟,30分钟和60分钟内行为的小,中和大变化。使用部分间隔记录和瞬时时间采样对数据集重新评分,间隔大小设置为10s,20s,30s,1min和2min。在研究1中,我们目视检查了转换后的数据以进行实验控制,并将该结论与相应的连续持续时间记录或连续频率记录数据得出的结论进行了比较,以测试假阴性。在研究2中,我们评估了对研究1的变化敏感的区间方法产生假阳性的程度。部分结果表明,间隔时间最大为30s的瞬时时间采样在较长的观察期内检测到持续时间事件和频率事件的变化范围很大。简要讨论了这些发现的实际含义。

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