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Data Transformation for autocorrelated baselines in Single System Designs

Data Transformation for autocorrelated baselines in Single System Designs. Examples First Difference Transformation (FDT) Moving Averages Transformation (MAT). The FDT Method. Subtract the 1 st point from the 2 nd Subtract the 2 nd point from the 3 rd Subtract the 3rd point from the 4 th

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Data Transformation for autocorrelated baselines in Single System Designs

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  1. Data Transformation for autocorrelated baselines in Single System Designs Examples First Difference Transformation (FDT) Moving Averages Transformation (MAT)

  2. The FDT Method • Subtract the 1st point from the 2nd • Subtract the 2nd point from the 3rd • Subtract the 3rd point from the 4th • Continue this pattern until all points are subtracted • Select a constant that will make all the data point greater than zero (s > 0). • Add each constant to each data point • Test for autocorrelation • If NOT autocorrelated use the FDT method on the treatment data set • Plot the new data set on a graph and use a statistic.

  3. The MAT Method • Add point 1 and point 2 • Divide the sum by 2 • Add point 2 and point 3 • Divide the sum by 2 • Add point 3 and point 4 • Continue this pattern until all points are added and divided • Test for autocorrelation • If NOT autocorrelated use the MAT method on the treatment data set • Plot the new data set on a graph and use a statistic.

  4. Return to Single System Goodwill

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