Quantitative Models in Psychology

With clear prose and a reader-friendly format, Robert E. McGrath introduces a conceptual framework for understanding the entire spectrum of quantitative modeling procedures used in psychology while providing a solid grounding in its methods and practices. The result is a comprehensive survey of quantitative methods and concepts in psychology that covers everything needed at the graduate level and beyond, including generalizing from samples to populations, using measurement instruments to generate quantitative scales, discovering alternatives to null hypothesis significance testing, and modeling real-world patterns and relationships.

This book presents the most important and practically relevant quantitative models for the behavioral and social sciences and encourages psychologists and graduate students to think critically about the limitations of the methods currently in use.

Robert E. McGrath, PhD, is a professor of psychology at Fairleigh Dickinson University, where he currently directs both the doctoral program in clinical psychology and the master of science program in clinical psychopharmacology. He received his doctorate in clinical psychology in 1984 from Auburn University. He has since authored approximately 150 publications and presentations, primarily in the areas of assessment and measurement, statistical methodology, and professional issues in pharmacotherapy. Dr. McGrath has been a candidate for president of APA, served on the APA Division 12 (Society of Clinical Psychology) Committee on Science and Practice, and is a former president of APA Division 55 (American Society for the Advancement of Pharmacotherapy). He is the three-time winner of the Martin Mayman Award presented by the Society for Personality Assessment for contributions to the literature on personality assessment.
 

With clear prose and a reader-friendly format, Robert E. McGrath introduces a conceptual framework for understanding the entire spectrum of quantitative modeling procedures used in psychology while providing a solid grounding in its methods and practices. The result is a comprehensive survey of quantitative methods and concepts in psychology that covers everything needed at the graduate level and beyond, including generalizing from samples to populations, using measurement instruments to generate quantitative scales, discovering alternatives to null hypothesis significance testing, and modeling real-world patterns and relationships. This book presents the most important and practically relevant quantitative models for the behavioral and social sciences and encourages psychologists and graduate students to think critically about the limitations of the methods currently in use.

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