Network Psychometrics with R: A Guide for Behavioral and Social Scientists

Network Psychometrics with R: A Guide for Behavioral and Social Scientists provides a comprehensive introduction to network analysis, covering theoretical foundations and modelling techniques. Written by pioneers in the field, the textbook offers cutting-edge methods in an accessible format, accompanied by problem sets and code. It is ideal for instructors and students in undergraduate and graduate courses, as well as established researchers looking to master new methods.

Format: Paperback / softback
Length: 250 pages
Publication date: 31 March 2022
Publisher: Taylor & Francis Ltd

Network analysis is a field that has been growing in importance in recent years, and Network Psychometrics with R: A Guide for Behavioral and Social Scientists provides a comprehensive introduction to this area. Written by pioneers in the field, this textbook offers a comprehensive overview of both the theoretical foundations of network psychometrics and the modeling techniques developed from this perspective.

The book is divided into four main sections, each covering a different aspect of network analysis. The first section provides an introduction to the statistical programming language R, which is used throughout the book to analyze network structures and their stability. The second section covers the theoretical foundations of network psychometrics, including concepts such as network centrality, network structure, and network dynamics. The third section introduces various modeling techniques, such as structural equation modeling, latent variable modeling, and network analysis algorithms. The fourth section provides examples of how these techniques can be applied to real-world data sets from social and behavioral science.

One of the key strengths of this textbook is its accessibility. The authors have done a great job of explaining complex concepts in a clear and concise manner, making it easy for readers to understand. The book is also accompanied by problem sets and code, which allow readers to apply the concepts learned in the text to real-world data.

In addition to its theoretical and practical aspects, Network Psychometrics with R also highlights the importance of interdisciplinary research in the field of network analysis. The authors note that network analysis can be applied to a wide range of fields, including social psychology, sociology, economics, and computer science, and that interdisciplinary collaboration can lead to new insights and discoveries.

Overall, Network Psychometrics with R is an excellent resource for instructors and students of undergraduate and graduate-level courses and workshops in the field of network psychometrics. It is also a valuable resource for established researchers looking to master new methods and approaches to network analysis. The companion website with resources for both students and lecturers further enhances the value of this textbook.

Weight: 472g
Dimension: 174 x 244 x 26 (mm)
ISBN-13: 9780367612948