Evaluation of Computer-Based Training to Teach Adults Visual Analysis Skills of Baseline-Treatment Graphs
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Journal title
Behavior Analysis in PracticeDate Published
2018-06-13Publication Volume
11Publication Issue
3Publication Begin page
254Publication End page
266
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Show full item recordAbstract
The primary method of data analysis in applied behavior analysis is visual analysis. However, few investigations to date have taught the skills necessary for accurate visual analysis. The purpose of the present study was to evaluate computer-based training on the visual analysis skills of adults with no prior experience. Visual analysis was taught with interactive computer-based training that included written instructions and opportunities for practice with textual feedback. Generalization of participant skills from simulated to handwritten and authentic data graphs was programmed for and assessed during the study. A multiple-baseline design was used across visual analysis properties (i.e., variability, level, and trend), with continuous overall intervention effect generalization probes, replicated across 4 participants to evaluate computer-based training for accurate visual analysis of A-B graphs. The results showed that all participants accurately visually analyzed A-B graphs following the computer-based training for variability, level, trend, and overall intervention effect. These visual analysis skills generalized to handwritten and authentic data graphs and maintained approximately 1 day, 1 week, 2 weeks, and 1 month following mastery of each property for all participants. Implications of the results suggest that computer-based training improved accurate visual analysis skills for adults with no prior experience.Citation
O'Grady AC, Reeve SA, Reeve KF, Vladescu JC, Lake CMJ. Evaluation of Computer-Based Training to Teach Adults Visual Analysis Skills of Baseline-Treatment Graphs. Behav Anal Pract. 2018 Jun 13;11(3):254-266. doi: 10.1007/s40617-018-0266-4. PMID: 30363795; PMCID: PMC6182852.DOI
10.1007/s40617-018-0266-4ae974a485f413a2113503eed53cd6c53
10.1007/s40617-018-0266-4
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- Creative Commons
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