Interval-based IOA algorithms assess the agreement between the interval data of two observers (including time samples). These ratios consist (a) of interval interval algorithms, b) interval- and (c) IOA intervals. After a brief overview of the interval algorithms, Table 2 summarizes the strengths of the three interval algorithms. Consider as a common example of IOA based on interval the hypothetical data flow represented in Figure 2, in which two independent observers record the appearance and non-deposit of a target response at seven consecutive intervals. In the first and seventh intervals, observers disagree on the event. However, both observers agree that there was no response in the second, third and fourth intervals. Finally, both observers also agree that at least one response was given at the fifth and sixth intervals. This technical report provides detailed information on the reasons for using a common computer computing program (Microsoft ExcelÂ®) to calculate different forms of interobserver agreement for continuous and discontinuous datasets. In addition, we offer a brief tutorial for using an Excel table to automatically calculate the traditional total number, partial match in intervals, exact tuning, trial test, interval interval, multiple interval, total duration and average duration of interobserver duration algorithms. We conclude with a discussion of how practitioners can integrate this tool into their clinical work. Permanent IOA algorithms evaluate the agreement between the temporal data of two observers. These measures consist of (a) the total duration and (b) the average duration of the incident.

Table 3 summarizes the strengths of the two algorithms. Consider as a permanent example of the permanent IOA the hypothetical data flow represented in Figure 3, in which two independent observers recorded the duration of a target response over four deposits. The IOA points interval. An approach to improve the accuracy of the agreement between two observers for interval recording is simply to limit agreement analyses to cases where at least one observer has recorded a target response in the meantime. Intervals in which no observer has reported a target response are excluded from the calculation in order to provide stricter agree statistics. Cooper et al. (2007) suggest that the IOA point interval (also known as “deposit agreement” in the research literature) is most advantageous when targeted responses are at low rates.