Quantitative Models in Psychology
For individuals in the U.S. & U.S. territories
Training in quantitative methods primarily involves studying the mechanics of statistics or, in other words, the "how" of data analysis. What is less studied is the "why," or the foundational theory underlying these concepts.
Using the organizing principle that quantitative methods are the building blocks of models, this book focuses on models of inference, models of measurement, and the modeling of psychological phenomena.
With clear prose and a reader-friendly format, McGrath introduces a conceptual framework for the entire spectrum of quantitative modeling procedures used in psychology while providing a solid grounding in its methods and practices. Featuring cutting-edge developments in research methodologies and examples taken from published studies, this book will walk you through:
- Inferential statistics and quantitative modeling of psychological phenomena
- The logic and limits of null hypothesis significance testing
- Alternatives to significance testing, including confidence intervals, meta-analysis, and Bayesian methods
- Models of measurement error
- Latent-variable models
- The mathematical qualities of quantitative variables
- The modeling of psychological phenomena, including such concepts as moderation and mediation
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, 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.
I. Models of Inference
- Preliminary Concepts in Inference
- Significance Testing
- Null Hypothesis Significance Testing
- Practical Issues in Null Hypothesis Significance Testing
- Alternatives to Null Hypothesis Significance Testing
II. Models of Measurement
- Models of Measurement Error
- Latent-Variable Models
III. Structural Modeling
- Preliminary Concepts in Structural Modeling
- Modeling Psychological Phenomena
About the Author
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.