Show Summary Details
Political ResearchMethods and Practical Skills

Political Research: Methods and Practical Skills (3rd edn)

Sandra Halperin and Oliver Heath
Page of

Printed from Oxford Politics Trove. Under the terms of the licence agreement, an individual user may print out a single article for personal use (for details see Privacy Policy and Legal Notice).

date: 18 October 2021

p. 45117. A Guide to Multivariate Analysislocked

p. 45117. A Guide to Multivariate Analysislocked

  • Sandra HalperinSandra HalperinProfessor of International Relations, Royal Holloway, University of London
  •  and Oliver HeathOliver HeathProfessor of Politics, Royal Holloway, University of London

Abstract

This chapter extends the principles of bivariate analysis to multivariate analysis, which takes into account more than one independent variable and the dependent variable. With multivariate analysis, it is possible to investigate the impact of multiple factors on a dependent variable of interest, and to compare the explanatory power of rival hypotheses. Multivariate analysis can also be used to develop and test multi-causal explanations of political phenomena. After providing an overview of the principles of multivariate analysis, and the different types of analytical question to which they can be applied, the chapter shows how multivariate analysis is carried out for statistical control purposes. More specifically, it explains the use of ordinary least squares (OLS) regression and logistic regression, the latter of which builds on cross-tabulation, to carry out multivariate analysis. It also discusses the use of multivariate analysis to debunk spurious relationships and to illustrate indirect causality.

You do not currently have access to this chapter

Sign in

Please sign in to access the full content.

Subscribe

Access to the full content requires a subscription