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Results
#1. An RBT has been collecting daily data on a client’s problematic behavior, which was targeted for reduction using a specific intervention. The RBT’s compiled data clearly indicated that the intervention was effective in decreasing the problematic behavior. However, on the day of the supervision meeting, the RBT inadvertently forgot to bring the data sheet. Lacking access to this crucial data, the supervising BCBA reviewed the case details and, based on incomplete information, incorrectly concluded that the intervention had not been effective in producing the desired behavior change. What type of error did the BCBA make in this situation?
A Type II error also known as a false negative occurs when a researcher or practitioner incorrectly concludes that an intervention or treatment had no effect or was not effective when in reality an effect was present ie the intervention actually worked In this scenario the RBTs data confirmed that the intervention was effective meaning a true effect on behavior reduction occurred However due to the missing data the BCBA failed to detect this true effect and erroneously concluded the intervention was not effective This is precisely the definition of a Type II error Conversely a Type I error false positive would be incorrectly concluding that an intervention was effective when in truth it had no effect An Interobserver Agreement IOA error involves discrepancies between data collected by two or more independent observers which is not relevant here as the problem stems from missing data and a subsequent misinterpretation by the BCBA A measurement artifact refers to an unintended or artificial change in the data due to how it was measured not the BCBAs interpretation of its efficacy
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