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What Is Typically Used To Calculate Interobserver Agreement

Harris, F.C., and Lahey, B.B. Method for combining evaluations of occurrence and non-occurrence agreements. Journal of Applied Behavior Analysis 1978,11, 523–527. Hartmann, D. P. (1977, Frühling). Considerations when selecting Interobserver reliability estimates. Journal of Applied Behavior Analysis, 10, 103-116. Suen, H. K., & Lee, P. S.

(1985). Effects of the use of percentage correspondence on behavioural observational reliability: a reassessment. Journal of Psychopathology and Behavioral Assessment, 7, 221-234. Holley, J. A., und Guilford, J. P. A note on the G index of the match. Educational and psychological measure 1964,24, 749-753.

Behavioral scientists have developed a sophisticated methodology to assess behavioral changes that depend on an accurate measure of behavior. Direct observation of behaviour has traditionally been the mainstay of behavioural measurement. Therefore, researchers need to deal with psychometric properties, . B such as interobserver matching, observational measures to ensure reliable and valid measurement. Among the many interobserver match indexes, the percentage of match is the most popular. Its use exists despite repeated warnings and empirical evidence suggesting that it is not the most psychometrically sound statistic for determining agreement among observers, as it is not able to take chance into account. Cohen`s Kappa (1960) has long been proposed as the most psychometrically sound statistic for assessing interobserver matching. Kappa is described and the calculation methods are presented. == A useful method for calculating Harris and Lahey`s weighted correspondence formula. Der Verhaltenstherapeut 1980,3, 3. Berk, R.

A. (1979). Generalizability of behavioral observations: Clarification of interobserver compliance and interobserver reliability. American Journal of Mental Deficiency, 83, 460–472. Shrout, P. E., Spitzer, R. L., & Fleiss, J. L.

(1987). Comment: The quantification of agreement in psychiatric diagnosis was re-examined. Archives of General Psychiatry, 44, 172–178. Mitchell, S.K. Interobserver agreement, reliability and generalizability of data collected in observational studies. Psychological Bulletin 1979,86, 376–390. Fleiss, J. L. Measure of agreement between two judges on the presence or absence of a characteristic.

Biometrics 1975,31, 651–659. Clement, P. W. A formula for computing inter-observer agreementPsychological Reports 1976,39, 257–258. Cohen, J. (1960). Conformity coefficient for nominal scales. Pädagogische und psychologische Messung, 20, 37–46.

Langenbucher, J., Labouvie, E., & Morgenstern, J. (1996). Methodische Entwicklungen: Messung der diagnostischen Übereinstimmung. Journal of Consulting and Clinical Psychology, 64, 1285-1289. House, A.E., House, B.J. & Campbell, M.B. Mesures de l’accord interobserveur: formules de calcul et effets de distribution. Journal of Behavioral Assessment 3, 37-57 (1981).

doi.org/10.1007/BF01321350 Farkas, G.M. Korrektur der Verzerrung in einer Methode zur Berechnung der Interobserver-Vereinbarung. Journal of Applies Behavior Analysis 1978,11, 188. . . .