A best-selling reference for 17 years, Analysis of Messy Data: Volume 1 has now been extensively revised and brought thoroughly up to date. The authors have streamlined the presentation and incorporated a number of recent developments in the field, including advances in random effects models and refinements to multiple comparison procedures. Most importantly, they have completely updated material involving software and detail how SAS-Mixed, SAS-GLM, and other packages can be used to improve experiment design and model analysis. Easy to read with good examples and a comfortable layout, this edition will undoubtedly take its place as a favorite reference of experiment designers and statisticians.