Explain autocorrelation and why its presence is an issue for the use of parametric statistical analyses.
Fill in the blank(s) with the appropriate word(s).
Suggested answer points:Autocorrelation refers to the tendency of observations to correlate with other observations (rather than being truly independent observations of the dependent variable). In single-subject research, one often expects to find trends in data which would indicate the presence of autocorrelation. A lag or time series analysis can definitively establish the presence or absence of autocorrelation. Its presence then precludes the use of parametric statistics because of the assumption that data points are independent of one another.
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