This book describes the exploratory use of data analysis. The importance of searching for patterns in data is stressed through many worked examples. The interpretation of the output from statistical software is also emphasized. This up-to-date text includes modern techniques such as multidimensional scaling, cluster analysis, generalized linear models and structural equation models. Part I explains data types and the statistical knowledge required to use the book. Part II explains which methods to use. The final parts cover the analysis of variables in more detail. This outstanding volume will prove useful as a reference for statisticians, and valuable to advanced undergraduates and graduate students in fields such as psychology, sociology, economics, and medicine, or in other areas where quantitative methods are central.