Design Sensitivity: Statistical Power for Experimental Research.

Newbury Park, CA: Sage Publications, 1990. Reprint ed.. Paperback trade, very good condition, figures. 207 pp. All researchers face an important challenge - designing research that will have sufficient sensitivity to detect the effects being investigated. Sample size, reliability, validity, measurement error, subject variability and the type of statistical analysis all influence the sensitivity of a research design. Lipsey examines the concept of design sensitivity and explains statistical power and the elements that determine it. Through careful explanations and selection of examples he explores: factors that degrade design sensitivity, effect size parameters and approaches to assessing it, how to estimate statistical power for various statistical tests, and the special problems statistical power poses for treatment effectiveness research. A vital resource for evaluators, methodologists, statisticians, psychologists and public health professionals.