Advanced Statistics for the Behavioral Sciences: A Computational Approach with R

This book demonstrates the importance of computer-generated statistical analyses in behavioral science research, particularly those using the R software environment. It bridges the gap between computer science and research application, providing easy-to-follow computer code for many statistical analyses. Each section concludes with a presentation of the computer code used to illustrate the analysis, as well as pointers to packages in R that can be used for similar analyses and nonstandard cases.

Format: Hardback
Length: 526 pages
Publication date: 15 May 2019
Publisher: Springer International Publishing AG

This book serves as a valuable resource for behavioral science researchers, emphasizing the significance of computer-generated statistical analyses, particularly in the realm of the R software environment. The field of computer science is continually advancing, with experts dedicated to developing efficient and elegant computer code. However, a significant number of researchers in the behavioral sciences lack the necessary programming background, resulting in their reliance on the black-box output generated by sophisticated statistical models without fully understanding its underlying principles.

To address this gap, the author has crafted a comprehensive text that bridges the divide between computer science and research application. Building upon their previous volume, Linear Models in Matrix Form, this text offers easy-to-follow computer code for a wide range of statistical analyses utilizing the R software environment. The book begins with a foundational section on linear algebra, providing the necessary mathematical background for subsequent chapters. It then delves into advanced topics such as robust regression, model selection based on bias and efficiency, nonlinear models and optimization routines, generalized linear models, and survival and time-series analysis.

To enhance understanding and practicality, each section concludes with a presentation of the computer code employed to illustrate the analysis. Additionally, the book provides pointers to R packages that can be utilized for similar analyses and nonstandard cases. The accessible code and broad coverage of topics make this book an invaluable tool for graduate students and researchers in the behavioral sciences who seek to perform advanced statistical analyses without possessing a deep understanding of computer science and mathematics. By leveraging the power of computer-generated statistical analyses, researchers can gain a deeper insights into complex behaviors and phenomena, leading to more informed and impactful research outcomes.

Weight: 966g
Dimension: 241 x 162 x 37 (mm)
ISBN-13: 9783319935478
Edition number: 1st ed. 2018