For a number of conceptually and practically important reasons, reporting of effect size estimates, confidence intervals, and power in parameter estimation is increasingly being recognized as the preferred approach in social science research. Unfortunately, this practice has not yet been widely adopted in the rehabilitation or general counseling literature. One reason for this may be a lack of familiarity with the somewhat advanced statistical concepts involved (Bangert & Baumberger, 2005), and another, a lack of experience with the processes of calculating these statistics. This article addresses both conceptual and practical issues. The importance and benefits of reporting effect size estimates, confidence intervals, and power is discussed in relation to practical significance, and, through the use of a rehabilitation counseling-based example, the processes involved in the calculations are presented. (Contains 2 tables.)