2024 Volume 38 Issue 2 Pages 131-140
Although applied behavior analysis has become widely used in practical settings such as developmental support, it is mainly used as a technique for intervention. In field settings, the visualization and quantification of intervention effects typically seen in research reports are rarely used, which hinders the use of intervention practice findings in basic research. An important reason for this is that tasks such as inputting behavioral data, creating graphs, and quantifying effects are time-consuming and difficult for practitioners in the field. The present article gives an overview of AI-PAC LAB. (ABA integrated programs for children with autism spectrum disorders for laboratory), an application developed with the aim of making these tasks easier for practitioners. The article also examines characteristics of the effect-size indicators used in that application. Practitioners can access AI-PAC LAB. on the internet, enter the values of dependent variables in a convenient way, and immediately view graphs and effect-size indicators. The application allows ongoing monitoring of the current state of an intervention and can be used to inform decisions about moving from baseline to intervention, ending an intervention, and modifying intervention methods. Furthermore, if many practitioners use an identical application, the results of various interventions can be accumulated in the same format, making it easier to investigate them in research. The present article reports an examination of changes in the effect-size indicators when various virtual intervention results are inputted, as well as their characteristics and how they can be utilized effectively.
