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

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-- Provided By Publisher.