Modeling Intraindividual Variability With Repeated Measures Data: Methods and Applications

Scott L. Hershberger and D.S. Moskowitz dive into the complexities of intraindividual variability by exploring how behaviors fluctuate over time. Their work addresses the importance of repeated measures data in understanding these changes, shedding light on the methodologies that accurately capture and model this variability.

Through a range of applications, the authors illustrate the practical utility of these modeling techniques in various fields, such as psychology and social science. Readers are guided through the nuances of analyzing and interpreting data to clarify how individuals respond to different situations over time.

The book offers a blend of theoretical insights and practical guidance, making it a valuable resource for researchers and practitioners keen on exploring the dynamic nature of behavior. With its comprehensive approach, it emphasizes the need for robust statistical methods to truly understand the rich tapestry of human behavior.