A Computer-Based System for Collecting and Analyzing Observational Data

1989 ◽  
Vol 9 (4) ◽  
pp. 207-217 ◽  
Author(s):  
Alan C. Repp ◽  
Kathryn G. Karsh ◽  
Rick Van Acker ◽  
David Felce ◽  
Martin Harman

Applied behavior analysis and other sciences based on data derived from direct observation are often interested in session summaries for each behavioral code of interest. In general, these data are obtained through time-sampling procedures, though they are occasionally obtained through electromechanical means that can preserve data in real time Such a record is an advantage as it offers the researcher additional options in analyzing behavior. This article describes such a system, based on the Epson HX-20, that we have been using for 5 years to collect data for various projects. The article includes examples of some of the programs developed, types of research questions asked, and data analyses conducted.

2020 ◽  
Author(s):  
Kimberly Zoder-Martell ◽  
Andrew Markelz ◽  
Margaret T. Floress ◽  
Heather A. Skriba ◽  
Laila E. N. Sayyah

Traditionally, center-based Applied Behavior Analysis (ABA) therapy is delivered in a face-to-face format across several sessions; however, given the recent COVID-19 pandemic, many behavior analysts practicing in ABA centers have temporarily been authorized to provide services using a telehealth model. This rapid change in service delivery has posed unique challenges for behavior analysts and families with loved ones who were receiving ABA services in centers or schools. Among one of the most pressing concerns is that behavior analysts commonly rely on direct observation of behavior to make data-based decisions regarding client treatment plans. The shift to a telehealth model in light of the COVID-19 pandemic requires behavior analysts to quickly adapt the manner in which many have been providing services. Although many behavior analysts may be familiar with various technologies, they may struggle to identify the benefits and limitations of each technology in terms of providing telehealth. Selecting an appropriate technology that allows behavior analysts to stay true to the science of behavior analysis is prudent. The purpose of this paper is to provide a review of some available technologies to support telehealth that will allow behavior analysts to conduct direct observation from a remote location. The three technologies reviewed are 1) web camera, 2) Swivl, and 3) telepresence robot. Features of these technologies will be described and compared including benefits and drawbacks of each (see Table 1). Sample task analyses for using each technology are also provided.


1988 ◽  
Vol 33 (3) ◽  
pp. 271-271
Author(s):  
Cyril M. Franks

2009 ◽  
Vol 10 (2) ◽  
pp. 277-294 ◽  
Author(s):  
Monica T. Francisco ◽  
Gregory J. Madden ◽  
John Borrero

2010 ◽  
Vol 11 (1) ◽  
pp. 49-58 ◽  
Author(s):  
Dana M. Gadaire ◽  
Michael E. Kelley ◽  
Nicole M. DeRosa

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