Klingberg Family Centers, Inc.
J Appl Behav Anal. 1987 Fall;20(3):273-8. doi: 10.1901/jaba.1987.20-273.
In recent years, the assessment of generalization effects has become a major priority of applied behavior analysis. In this paper we propose a set of procedures to increase the accuracy of generalization assessments by accounting for the degree of natural covariation between treated and untreated behaviors. Scatterplot analyses were used (a) to assess the amount of baseline and postbaseline covariation between behaviors, (b) to determine if the observed generalization effect was due to a preexisting covariation between the behaviors, and (c) to assess if there is a significant change in the strength of the relationship between the behaviors as a function of the intervention. Six hypothetical sets of data are used to demonstrate how these procedures provide more accurate and detailed generalization assessment.
近年来，推广效果评估已成为应用行为分析的主要重点。本文提出了一系列程序，通过考虑治疗和未治疗行为之间的自然协变程度，提高推广评估的准确性。散点图分析用于：（a）评估行为在基线和后基线期间的协变程度，（b）确定观察到的推广效果是否归因于行为之间预先存在的协变，以及（c）评估随着干预的进行，行为之间的关系强度是否发生显著变化。使用六个假设数据集来演示这些程序如何提供更准确和详细的推广评估。
