An introduction to the use of segmented polynomial models in behavioral science research is presented. Examples of suitably defined design matrices of dummy variables are given for the least squares analyses of time series and discontinuity quasi-experimental research designs. Linear combinations of dummy variable vectors are shown to provide tests of effects in the two quasi-experimental designs. Interpretation of results from the segmented polynomial analyses is also demonstrated.
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