Observer agreement for timed-event sequential data: A comparison of time-based and event-based algorithms
نویسندگان
چکیده
منابع مشابه
Observer agreement for timed-event sequential data: a comparison of time-based and event-based algorithms.
Observer agreement is often regarded as the sine qua non of observational research. Cohen's kappa is a widely used index and is appropriate when discrete entities-such as a turn-of-talk or a demarcated time interval-are presented to pairs of observers to code. kappa-like statistics and agreement matrices are also used for the timed-event sequential data produced when observers first segment and...
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When sequences of discrete events, or other units, are independently coded by two coders using a set of mutually exclusive and exhaustive codes, but onset times are not preserved, it is often unclear how pairs of protocols should be aligned, yet such alignment is required before Cohen’s kappa, a common agreement statistic, can be computed. We describe a method—based on the Needleman and Wunsch ...
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ژورنال
عنوان ژورنال: Behavior Research Methods
سال: 2009
ISSN: 1554-3528
DOI: 10.3758/brm.41.1.137