Abstract
The autoregressive integrated moving averages model (ARIMA) of order (p, d, q) has been applied to time series data in psychological and educational research. The article describes a FORTRAN IV program that generates ARIMA data of a known order. The program enables researchers to explore the statistical properties of ARIMA data and to simulate systems producing time dependent observations.
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