Measuring habituation in infants: An approach using regression analysis
Measuring habituation in infants: An approach using regression analysis
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DOI：
10.2307/1131746
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发表时间：
1996-12-01
影响因子：
4.6
通讯作者：
Davis, DFL
中科院分区：
文献类型：
--
作者：
Ashmead, DH;Davis, DFL
通过计算机模拟检验了不同习服标准的有效性。描述了一种基于二次多项式回归函数对观看时间数据进行拟合的准则。与传统的加窗滑动平均判据或基于线性回归的判据相比，该判据提供了更准确的观看时间估计以及更高的检测新奇效应的实验能力。多项式回归方法可能具有这种优势，因为它利用了所有可用的观看时间数据，而不仅仅是当前窗口平均中的数据，并且因为它对观看时间的非线性趋势很敏感。这个新的适应标准很容易在实验室计算机上实现，与窗口平均标准相比，它应该会将会话长度增加不超过一次左右。关于重测信度，所有被评估的习惯标准似乎平均可靠性较低，样本之间的变异性很高。这些不受欢迎的可靠性特征可归因于婴儿注意行为的高度变异性。
The effectiveness of different habituation criteria was examined by means of computer simulations. A criterion based on fitting a second-order polynomial regression function to the looking time data was described. This criterion produced more accurate estimation of looking times as well as higher experimental power for detecting novelty effects, compared to the traditional windowed running average criterion or to a criterion based on linear regression. The polynomial regression approach probably has this advantage because it utilizes all of the available looking time data, rather than just the data in the current windowed average, and because it is sensitive to nonlinear trends in looking time. This new habituation criterion is easy to implement on a laboratory Computer, and it should increase session lengths by no more than one trial or so, compared to windowed average criteria. With regard to test-retest reliability, all of the habituation criteria that were evaluated appear to have low reliability on average, with high sample-to-sample variability. These undesirable reliability characteristics are attributable to the high variability of infants' attentional behavior.