Key features

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• •NEW chapter on Logistic Regression (Ch. 11) that helps readers understand and use this very flexible and widely used procedure
• •NEW chapter on Multivariate Multilevel Modeling (Ch. 14) that helps readers understand the benefits of this "newer" procedure and how it can be used in conventional and multilevel settings
• •NEW Example Results Section write-ups that illustrate how results should be presented in research papers and journal articles
• •NEW coverage of missing data (Ch. 1) to help students understand and address problems associated with incomplete data
• •Completely re-written chapters on Exploratory Factor Analysis (Ch. 9), Hierarchical Linear Modeling (Ch. 13), and Structural Equation Modeling (Ch. 16) with increased focus on understanding models and interpreting results
• •NEW analysis summaries, inclusion of more syntax explanations, and reduction in the number of SPSS/SAS dialogue boxes to guide students through data analysis in a more streamlined and direct approach
• •Updated syntax to reflect newest versions of IBM SPSS (21) /SAS (9.3)
• •A free online resources site at www.routledge.com/9780415836661 with data sets and syntax from the text, additional data sets, and instructor’s resources (including PowerPoint lecture slides for select chapters, a conversion guide for 5th edition adopters, and answers to exercises).