In most behavioral science research very little attention is ever given to the probability of committing a Type II error, i.e., the probability of failing to reject a false null hypothesis. Recent publications by Cohen have led to insight on this topic for the fixed-effects analysis of variance and covariance. This paper provides social scientists with some insight in dealing with Type II error, and optimum sample size and number of levels in the random-effects analysis of variance. (Author)