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AN EVALUATION OF TIME‐SAMPLE MEASURES OF BEHAVIOR 1
Author(s) -
Powell J.,
Martindale A.,
Kulp S.
Publication year - 1975
Publication title -
journal of applied behavior analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.1
H-Index - 76
eISSN - 1938-3703
pISSN - 0021-8855
DOI - 10.1901/jaba.1975.8-463
Subject(s) - statistics , observational study , measure (data warehouse) , interval (graph theory) , sample (material) , sampling (signal processing) , sample size determination , confidence interval , observational error , observational methods in psychology , mathematics , computer science , chemistry , filter (signal processing) , chromatography , combinatorics , computer vision , database
Continuous and time‐sample measures of the in‐seat behavior of a secretary were obtained. Measurement error, i.e. , the extent to which the sample measures deviated from the continuous measure, was a function of the frequency of the sample measurements and the criterion used to score an example of the behavior. If the behavior had to be exhibited throughout the observational interval ( whole‐interval time sampling ), there was a consistent underestimate of the continuous measure. If the behavior had to be exhibited only briefly within the observational interval ( partial‐interval time sampling ), there was a consistent overestimate of the continuous measure. And, if the behavior had to be exhibited at the end of the observational interval ( momentary time sampling ), overestimations and underestimations of the continuous measure occurred about equally often. As expected, the more frequently the sample measures were made the closer was the agreement between the sample and continuous measures. Two conclusions concerning measurement error in interval time sampling were made. The first was that the error will be a function of the mean time per response. The second is that this error will not be consistent across experimental conditions.