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: 27 May 2024

Statistical Significancelocked

Statistical Significancelocked

  • Jean-Frédéric Morin,
  • Christian Olsson
  •  and Ece Özlem Atikcan


This chapter highlights statistical significance. The key question in quantitative analysis is whether a pattern observed in a sample also holds for the population from which the sample was drawn. A positive answer to this question implies that the result is ‘statistically significant’ — i.e. it was not produced by a random variation from sample to sample, but, instead, reflects the pattern that exists in the population. The null hypothesis statistical test (NHST) has been a widely used approach for testing whether inference from a sample to the population is valid. Seeking to test whether valid inferences about the population could be made based on the results from a single sample, a researcher should consider a wide variety of approaches and take into the account not only p-values, but also sampling process, sample size, the quality of measurement, and other factors that may influence the reliability of estimates.

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