Non-interval IOA. The IOA algorithm with an uncored interval (also called «non-interval» in the research literature) is also more rigorous than simple interval-by-interval approaches, taking into account only intervals where at least one observer records the absence of a target response. The rationale for IOA in the Uncored interval is similar to that for IOA at point intervals, except that this metric is most appropriate for high response rates (Cooper et al., 2007). In the sample data in Figure 2, the fifth and sixth intervals are ignored for computational purposes, with both observers having received a response at these intervals. Thus, the IOA statistics are calculated from the remaining five intervals. Since there was agreement at only three of the five intervals (second, third and fourth intervals), the conformity assessment is 60%. Interval-By-Interval: Number of agreed intervals divided by global intervals (agreed and not agreed), multiplied by 100 Set among all event-based IOA algorithms is the analysis of concordance on frequency counts and event records. These measures consist of (a) total number, b) partial concordance in intervals, c) exact match, and (d) DOA trial by trial algorithms. After a brief overview of each event-based algorithm, Table 1 summarizes the strengths of the four event-based algorithms for behavioral reliability analysis considerations.
Suppose a research team collects frequency data for a target response of 15 observations of 1 m (see Figure 1). The idea that practicing behavioral analysts should collect and report reliability or interobserver compliance (IOA) in behavioral assessments is illustrated by the Behavior Analyst Certification Board`s (BACB) assertion that behavioral analysts are proficient in using «different methods of evaluating the results of measurement methods, such as.B. compliance between observers, accuracy and reliability» (BACB, 2005). In addition, Vollmer, Sloman and St. Peter Pipkin (2008) argue that the exclusion of these data significantly limits the interpretation of the effectiveness of a behaviour modification procedure. Therefore, the inclusion of reliability data for validity claims in any study that includes behavioural assessment should be the inclusion of reliability data (Friman, 2009). Given these considerations, it is not surprising that a recent review of journaled journals in Applied Behavior Analysis (JABA) from 1995 to 2005 (Mudford, Taylor & Martin, 2009) found that 100% of articles reporting continuously recorded dependent variables contained IOA calculations. . . .