this book is a step-by-step guide to using spss for windows 18.0, written by darren george and paul mallery. it is the eleventh edition and published by allyn & bacon. the book covers a wide range of topics, starting with an overview of spss for windows step by step, followed by sections on spss windows processes, creating and editing data files, and managing data. it then moves on to graphs, and the basic module of ibm spss statistics, which includes frequencies, descriptive statistics, cross-tabulation, means, bivariate correlation, t tests, one-way anova, and general linear models. the book also covers nonparametric procedures, reliability analysis, multidimensional scaling, factor analysis, cluster analysis, and discriminant analysis. additional modules include general linear models for manova and mancovariance, logistic regression, hierarchical loglinear models, general loglinear models, and residuals analysis. the book also includes sections on data files, glossary, references, and index. it is a comprehensive reference for users of spss, providing detailed instructions and explanations for various statistical procedures. the book is organized in a logical manner, making it easy for readers to follow and understand the steps involved in using spss for windows. it is suitable for both beginners and advanced users who want to learn or refresh their knowledge of spss. the content is well-structured and includes practical examples, making it an essential resource for anyone working with spss.this book is a step-by-step guide to using spss for windows 18.0, written by darren george and paul mallery. it is the eleventh edition and published by allyn & bacon. the book covers a wide range of topics, starting with an overview of spss for windows step by step, followed by sections on spss windows processes, creating and editing data files, and managing data. it then moves on to graphs, and the basic module of ibm spss statistics, which includes frequencies, descriptive statistics, cross-tabulation, means, bivariate correlation, t tests, one-way anova, and general linear models. the book also covers nonparametric procedures, reliability analysis, multidimensional scaling, factor analysis, cluster analysis, and discriminant analysis. additional modules include general linear models for manova and mancovariance, logistic regression, hierarchical loglinear models, general loglinear models, and residuals analysis. the book also includes sections on data files, glossary, references, and index. it is a comprehensive reference for users of spss, providing detailed instructions and explanations for various statistical procedures. the book is organized in a logical manner, making it easy for readers to follow and understand the steps involved in using spss for windows. it is suitable for both beginners and advanced users who want to learn or refresh their knowledge of spss. the content is well-structured and includes practical examples, making it an essential resource for anyone working with spss.