University of Utah.
J Appl Behav Anal. 1982 Spring;15(1):189-90. doi: 10.1901/jaba.1982.15-189.
Proposed methods of assessing the statistical significance of interobserver agreements provide erroneous probability values when conducted on serially correlated data. Investigators who wish to evaluate interobserver agreements by means of statistical significance can do so by limiting the analysis to every k(th) interval of data, or by using Markovian techniques which accommodate serial correlations.
当对连续相关数据进行评估时,评估观察者间一致性的统计显著性的建议方法会提供错误的概率值。希望通过统计显著性来评估观察者间一致性的研究人员可以通过将分析限制在数据的每 k(第)个间隔,或通过使用适应序列相关性的马尔可夫技术来实现。