Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. The approach is applied and does not require formal mathematics; equations are accompanied by verbal explanations. Students are asked to think about the meaning of equations. Each chapter presents a complete empirical research example to illustrate the application of a specific method. Although SPSS examples are used throughout the book, the conceptual material will be helpful for users of different programs. Each chapter has a glossary and comprehension questions.
New to the Second Edition
- Includes new chapters on Moderation (Chapter 15) and Mediation (Chapter 16), extending the range of statistical tools covered
- Updates all SPSS screen shots and output to ISBM SPSS version 19
- Provides many new references, including for the analysis of data with many zeroes, and problems that can arise when standardized regression coefficients are compared across groups
- Offers an expanded glossary of helpful key terms.
Changes in the Second Edition
· All SPSS screen shots and output have been updated to IBM SPSS version 19.
· Chapter 4 (data screening) has brief new sections about examination of pattern in missing data, imputation of missing values, and problems with dichotomizing scores on quantitative variables.
· Chapter 9 (bivariate regression) now includes references to discussion of problems with comparison of standardized regression coefficients across groups.
· Chapter 10 includes a new section on inconsistent mediation as one type of suppression.
· Chapter 13 has new examples using bar graphs with error bars to report means in factorial ANOVA.
In the first edition, mediation was discussed briefly in chapters 10 and 11, and moderation / analysis of interaction in regression was introduced in chapter 12. In the second edition, this material has been moved into separate new chapters and substantially expanded.
· New Chapter 15, Moderation, discusses the analysis of interaction in multiple regression, including how to generate line graphs to describe the nature of interactions between quantitative predictors.
· New Chapter 16, Mediation, provides a thorough and updated discussion of tests for hypotheses about mediated causal models. This chapter includes complete instructions how to do mediation analysis if you do not have access to a structural equation modeling program, and an optional brief introduction to the AMOS© structural equation modeling program, available as an SPSS add-on, as another way to test mediated models.
Because two new chapters were added in the middle of the book, all chapters from Chapter 15 to end of the book have been renumbered in the second edition.
· Chapter 21 (Chapter 19 in the first edition) has a new section on the different ways that SPSS handles missing scores when forming summated scales using the SPSS Mean and Sum functions.