This book integrates philosophy of science, data acquisition methods, and statistical modeling techniques to present readers with a forward-thinking perspective on clinical science. It reviews modern research practices in clinical psychology that support the goals of psychological science, study designs that promote good research, and quantitative methods that can test specific scientific questions. It covers new themes in research including intensive longitudinal designs, neurobiology, developmental psychopathology, and advanced computational methods such as machine learning. This is a foundational resource that supports the methodological training of the current and future generations of clinical psychological scientists. Integrates philosophy of science, data acquisition methods, and statistical modeling techniques. Supplies clear links between conceptual underpinnings, study design, and analysis. Provides a forward-thinking perspective on the rapidly changing landscape of clinical science.