Show Summary Details
Research Methods in the Social Sciences: An A-Z of key concepts

Research Methods in the Social Sciences: An A-Z of key concepts (1st edn)

Jean-Frédéric Morin, Christian Olsson, and Ece Özlem Atikcan
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: 22 June 2024

p. 233R. Regression Analysislocked

p. 233R. Regression Analysislocked

  • Kamil Marcinkiewicz
  •  and Kai-Uwe Schnapp


This chapter evaluates regression analysis, which uses quantitative and sometimes also qualitative independent variables to explain or predict change in a quantitative dependent variable. To attain this goal, it relies on the principles of covariance and correlation. Its most basic form is linear regression, also known as ordinary least squares (OLS) regression. In addition, there are many other varieties of regression methods for different research questions and data characteristics, such as time-oriented questions or data with a limited range of values. Researchers use regression analysis especially to analyse complex patterns of correlation in situations with more than one explanatory variable. Often such patterns are interpreted in the context of causal theories. The concept of regression goes back to Francis Galton’s study on human height.

You do not currently have access to this chapter

Sign in

Please sign in to access the full content.


Access to the full content requires a subscription