A note on computing the chi-square noncentrality parameter for power analyses

Power calculations for a variety of research designs used in behavior genetics require the determination of a chi-square noncentrality parameter. For many purposes published tables are adequate, but for cases where they are not we provide a graph for approximating the required parameters for up to 300 degrees of freedom and illustrate a straightforward procedure for accurate determination using a widely available SAS function.