Analysis of Multivariate Social Science Data: Statistical Machine Learning Methods (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Drawing on the authors’ varied experiences researching and teaching in the field, Analysis of Multivariate Social Science Data: Statistical Machine Learning Methods, Third Edition enables a basic understanding of how to use key multivariate methods in the social sciences.With minimal mathematical and statistical knowledge required, this third edition expands its topics to include graphical modelling, models for longitudinal data, structural equation models for categorical variables, and latent class analysis for ordinal, nominal, and continuous variables.It also connects the topics to terminology and principles of machine learning, intended to help readers grasp the links between methods of multivariate analysis and advancements in the field of data science. After describing methods for the summarisation of data in the first part of the book, the authors consider regression analysis.This chapter provides a link between the two halves of the book, signalling the move from descriptive to