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Interobserver agreement: A preliminary investigation into how much is enough?

Nicole L HausmanNoor JavedMolly K BednarMadeleine GuellErin SchallerRose E NevillSungWoo Kahng
Published in: Journal of applied behavior analysis (2021)
Interobserver agreement (IOA) is important for research and practice, and supports the consistency of behavioral data (Kahng et al., 2011). Although general parameters for how much IOA is needed have been suggested (Bailey & Burch, 2018), it is unknown if the total number of sessions with IOA might impact the IOA coefficient. In this study, IOA was reanalyzed using functional analysis data at various cutoffs. Obtained IOA from these analyses was then compared to the original IOA. Overall, results suggested that, at least when using highly trained observers in a structured clinical setting, there were no significant differences in IOA across cutoffs. However, IOA was sensitive to overall rate of responding in the functional analysis. These data are encouraging, particularly for practitioners, because they provide preliminary support that the amount of sessions with IOA may not be as important as the consistency of the data.
Keyphrases
  • electronic health record
  • primary care
  • big data
  • healthcare
  • machine learning
  • computed tomography
  • high intensity