<P>A systematic, innovative introduction to the field of network analysis, <I>Network Psychometrics with R: A Guide for Behavioral and Social Scientists</I> provides a comprehensive overview of and guide to both the theoretical foundations of network psychometrics as well as modelling techniques developed from this perspective. </P><P></P><P>Written by pioneers in the field, this textbook showcases cutting-edge methods in an easily accessible format, accompanied by problem sets and code. After working through this book, readers will be able to understand the theoretical foundations behind network modelling, infer network topology, and estimate network parameters from different sources of data. This book features an introduction on the statistical programming language R that guides readers on how to analyse network structures and their stability using R. While<I> Network Psychometrics with R</I> is written in the context of social and behavioral science, the methods introduced in this b