intercoder reliability for time-series data?

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    Here’s kind of an ‘advanced’ question…

     

    I have content-analysis data that are time series (approx 30 equal-interval time points per case), so the data are temporally dependent.  This violates the assumptions for any standard intercoder-reliability index… does anyone know of a way to calculate reliability for non-independent data?  Or would you want to collaborate to try to figure out a way?

     

    Right now what I’m doing is sampling every 10th data point to reduce dependencies.  I could also calculate difference scores between t and t-1 points to remove some of the autocorrelation.  Any better ideas?

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