The General Linear Model

Alexander von Eye is Professor Emeritus of Psychology at Michigan State University, USA. He received his Ph.D. in Psychology from the University of Trier, Germany, in 1976. He is known for his work on statistical modeling, categorical data analysis, and person-oriented research. Recognitions include an honorary professorship of the Technical University of Berlin, fellow status of the APA and the APS, and he was named Accredited Professional Statistician™ (PSTAT™) of the American Statistical Association. He authored, among others, texts on Configural Frequency Analysis, and he edited, among others, books on Statistics and Causality (2016) and on direction dependence (2021). His over 400 articles appeared in the premier journals of the field, including, for instance, Psychological Methods, Multivariate Behavioral Research, Child Development, Development and Psychopathology, the Journal of Person-Oriented Research, the American Statistician, and the Journal of Applied Statistics. Wolfgang Wiedermann is Associate Professor at the University of Missouri, USA. He received his Ph.D. in Quantitative Psychology from the University of Klagenfurt, Austria. His primary research interests include the development of methods for causal inference, methods to evaluate the causal direction of dependence, and methods for person-oriented research. He has edited books on new developments in statistical methods for dependent data analysis in the social and behavioral sciences (2015), advances in statistical methods for causal inference (2016) and causal direction of dependence (2021). His work appears in leading journals of the field, including Psychological Methods, Multivariate Behavioral Research, Behavior Research Methods, Developmental Psychology, and Development and Psychopathology. Recognitions include the Young Researcher Award 2021 by the Scandinavian Society for Person-Oriented Research.

'This book provides a thorough overview of regression analysis and the analysis of variance and covariance, foundational research methods in social and behavioral sciences. Dr. von Eye and Wiedermann, the authors, have decades of experience training graduate students on these methods and conducting research. Each chapter has a specific learning objective and methodically progresses toward more complex subjects. In addition, the latest methodological developments in causal inference and computationally intensive approaches are well integrated, which should greatly interest any social and behavioral scientists who want to stay abreast of the current state-of-the-art methods. This advanced graduate-level textbook is well-organized, up-to-date, and in-depth while still being understandable, with data examples and key takeaways. As someone involved in training graduate students in social and behavioral sciences, I am excited to use and recommend this book.' Eun-Young Mun, University of North Texas, USA

• 1. The general linear model; 2. OLS parameter estimation; 3. Regression analysis; 4. Analysis of variance (ANOVA).