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Do you ever feel at a loss on how to proceed with a particular set of data? Your Statistical Consultant can provide the answer. This comprehensive guide introduces, describes, and makes recommendations regarding difficult statistical problems and techniques. The authors discuss common problems by addressing frequently asked questions; provide a conceptual overview of topics and techniques; give accounts of such new-found topics as the debate over statistical significance, effect sizes and meta-analysis; and highlight and explain key terms and points.

Tabla de contenidos provista por Syndetics

• Part 1 Getting Started with Statistical Analysis
• How Do I Prepare Data for Statistical Analysis?
• How Do I Examine Data Prior to Analysis?
• Part 2 The Logic of Statistical Analysis: Issues Regarding the Nature of Statistics and Statistical Tests
• Traditional Approaches to Statistical Analysis and the Logic of Statistical Inference
• Rethinking Traditional Paradigms
• Power, Effect Size and Hypothesis Testing Alternatives
• What Are the Assumptions of Statistical Testing?
• How Do I Select the Appropriate Statistical Test?
• Part 3 Issues Related to Variables and Their Distributions
• How Do I Deal with Non-Normality, Missing Values and Outliers?
• Types of Variables and Their Treatment in Statistical Analysis
• Part 4 Understanding the Big Two: Major Questions About Analysis of Variance and Regression Analysis
• Questions about Analysis of Variance
• Questions about Multiple Regression Analysis
• The Bigger Picture

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CHOICE Review

Neither Newton nor Rudestam is a stranger to writing books that draw on their respective fields of sociology and psychology. Previously the pair from Fielding Graduate University penned Surviving Your Dissertation: A Comprehensive Guide to Content and Process (3rd ed., 2007). Now they offer statistical survival tips that answer questions gathered from students and colleagues. They are not afraid to provide advice, along with examples that address the tough dilemmas that social scientists encounter in statistics. This book is valuable for its interpretation of alternative approaches to traditional statistical inferences. Twelve chapters tackle nearly 100 questions, including such classics as how to deal with missing values. The second edition is noticeably updated and clearly replaces the earlier 1999 publication. Included are a new chapter, more illustrations, and even new topics. The book starts off with detailed content pages. Just opening it gives a clear road map with key points in italics and key terms in boldface. The links to statistical websites are gems. This textbook supplement is ideal for advanced students, practitioners, and faculty in the social sciences. Summing Up: Highly recommended. Upper-division undergraduates through researchers/faculty. K. L. Swetland University of South Carolina Upstate