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Interobserver Agreement Formula Aba

House, A.E., House, B.J. – Campbell, M.B. Measures of interobserver agreement: Calculation formulas and effect distributions. Journal of Behavioral Assessment 3, 37-57 (1981). doi.org/10.1007/BF01321350 Since Spearman and Brown first reported in 1910 how to quantify reliability between data sources, researchers have refined ways of quantitatively communicating the link between independent actions (see Brennan, 2001). Today`s researchers are fortunate to have many statistical software packages (z.B. SPSS, STATA) that can instantly calculate a variety of reliability indicators, such as the Cronbach alpha or Pearson product torque coefficient. While such statistics may be beneficial for classical test score theory or traditional views on the reliability of psychological scales, these statistics are not well suited to the analysis of data from individual experimental models. In addition, the above statistical software does not contain the standard behavioral analysis algorithms needed to calculate the reliability of individual data, such as interval or event-by-event average statistics. Therefore, the use of Excel is beneficial for behavioral analysts, as this program is widely used and easily designed for custom formulas and custom analytics. The most relevant idea for the current debate is that well-designed tables can reduce the data processing burden and improve the accuracy of analyses of users who are unfamila in statistics or computer programming. The IOA machine described here provides an accessible, accurate and easy-to-use Excel tool for behavioral analysts. Taylor, D.R.

A useful method for calculating Harris and Lahey`s weighted agreement formula. The Behavioral Therapist 1980,3, 3rd total duration of IOA. Like the total number of IAOs for event-based data, the total duration of the IOA provides a relatively insensitive measure of observer agreement. The total duration of the IOA brings together all calendars in a cumulative duration for each observer, and is calculated by dissecting the smaller duration by the longer duration. So the more timings there are, the more possibilities there are for the discrepant data to be masked by this metric. As shown in Figure 3, the recorded durations of the two observers for the second, third and fourth occurrences of the response are essentially discrete. However, each observer`s sums correspond to the others, giving a total duration of 100%. Farkas, G.M. Correction for bias in a method of calculating the Interobserver agreement.

Journal of Applied Behavior Analysis 1978,11, 188.