The analysis and interpretation of multivariate data for social scientists

Abstract

Based on a longtime course for master's level students at the London School of Economics and Politics, where the authors are based, this text concentrates on the multivariate methods so useful to social science problems involving correlational rather than causal relationships. Chapters with application examples and further readings cover data preliminaries, cluster analysis, multidimensional scaling, correspondence analysis, principal components analysis, factor analysis, and latent variable methods. While mathematical demands are minimal, these methods require use of a computer software package; an auxiliary website supplies data sets and code for use with SPSS

Similar works

Full text

thumbnail-image

LSE Research Online

redirect
Last time updated on 10/02/2012

This paper was published in LSE Research Online.

Having an issue?

Is data on this page outdated, violates copyrights or anything else? Report the problem now and we will take corresponding actions after reviewing your request.