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False-Positive Tangible Outcomes of Functional Analyses
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Rooker, Griffin W.; Iwata, Brian A.; Harper, Jill M.; Fahmie, Tara A.; Camp, Erin M. – Journal of Applied Behavior Analysis, 2011
Functional analysis (FA) methodology is the most precise method for identifying variables that maintain problem behavior. Occasionally, however, results of an FA may be influenced by idiosyncratic sensitivity to aspects of the assessment conditions. For example, data from several studies suggest that inclusion of a tangible condition during an FA…
Descriptors: Behavior Problems, Reinforcement, Identification, Research Methodology
Assessing Observer Accuracy in Continuous Recording of Rate and Duration: Three Algorithms Compared
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Mudford, Oliver C.; Martin, Neil T.; Hui, Jasmine K. Y.; Taylor, Sarah Ann – Journal of Applied Behavior Analysis, 2009
The three algorithms most frequently selected by behavior-analytic researchers to compute interobserver agreement with continuous recording were used to assess the accuracy of data recorded from video samples on handheld computers by 12 observers. Rate and duration of responding were recorded for three samples each. Data files were compared with…
Descriptors: Interrater Reliability, Computers, Observation, Video Technology