Killian, Andrew J. Healy, and J. Scott Long. The book "Multilevel Modeling Using R 3rd Edition" by Shaun D. Killian, Andrew J. Healy, and J. Scott Long is a comprehensive guide to multilevel modeling using R, providing readers with the tools and techniques necessary to understand and analyze complex data sets. The book covers the fundamental concepts of multilevel modeling, including random effects, mixed effects, and variance components, and offers practical examples and exercises to help readers apply these concepts to their own research questions. The authors emphasize the importance of understanding the process of technology evolution and its impact on society, highlighting the need for a personal paradigm that can help us perceive the technological process of developing modern knowledge as the basis for the survival of humanity and the unification of people in a warring state. They argue that this paradigm shift is essential for our survival and well-being, as it allows us to adapt to changing circumstances and navigate the challenges of the digital age. The book begins with an introduction to multilevel modeling and its applications, followed by chapters on statistical concepts such as probability, inference, and regression analysis. It then delves into more advanced topics such as linear mixed models, generalized linear mixed models, and nonlinear mixed effects models. Throughout the text, the authors provide numerous examples and exercises to help readers practice and reinforce their understanding of the material. One of the key themes of the book is the need to study and understand the process of technology evolution, which the authors believe is crucial for our survival and well-being.

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