Berk, R. A. (1979). Generalization of behavioural observations: a clarification of the Interobserver agreement and the reliability of the inter-observer. American Journal of Mental Deficiency, 83, 460-472. Interval-based IOA algorithms assess the consistency 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. IoA with undotted interval. The IOA algorithm with a little interval (also called “non-deposit” agreement in the research literature) is also stricter than simple interval-by-interval approaches, taking into account only intervals in which at least one observer records the lack of response. The justification for pointless IOA is similar to that of the IOA with the scored interval, except that this metric responds best for high rates (Cooper et al., 2007). In the figure 2 examples, the 5th and 6th intervals are ignored for calculation purposes, as both observers have received a response at these intervals. Thus, the IOA statistics are calculated from the remaining five intervals. Since agreement has only been reached on three of the five intervals (the second, third and fourth intervals), the approval rate is 60%. 1 Note that this calculator is based on examples of IOA (Improving and Assessing the Quality of Behavi measurement) data, presented in Chapter 5; 102-124) was tested by Cooper, Heron and Heward (2007).

For all algorithms, there was a 100% match between the values derived from the IOA with the computer described in this article and those reported in Cooper et al. Total number of IOA` The IOA algorithm for the total number is the easiest way to evaluate IOA with event-based measurements. The total number of IOA refers only to the percentage of correspondence between the frequency/event records of two observers for the entire observation and is calculated by dering the smaller total number (from one observer relative to the other) by the largest total number (by the other observer).