Evaluation Research Group and Suny, Binghamton.
J Appl Behav Anal. 1978 Summer;11(2):277-83. doi: 10.1901/jaba.1978.11-277.
Comparisons between visual and time-series inferences from behavioral data show that serial dependency in scores is likely to disrupt agreement between the two methods of analysis. If researchers follow an earlier recommendation that time-series analysis be used to supplement or confirm visual analysis, this study's findings suggest that the two methods will disagree most often when the data contain high levels of autocorrelation and when reliable behavorial changes are indicated by time-series analysis.
从行为数据中得出的视觉和时间序列推断之间的比较表明，分数中的序列依赖性可能会破坏两种分析方法之间的一致性。如果研究人员遵循先前的建议，即使用时间序列分析来补充或确认视觉分析，那么本研究的结果表明，当数据包含高水平的自相关且时间序列分析表明可靠的行为变化时，这两种方法最常出现不一致。
