significance test

Show Summary Details

Quick Reference

In inferential statistics, any test designed to determine whether an alternative hypothesis achieved the required level of statistical significance to justify being accepted in preference to the null hypothesis. In a classical null hypothesis significance test, the null hypothesis is provisionally assumed to be true, and a calculation is then made of the probability of obtaining a result as extreme as the one actually obtained. If the probability is sufficiently small (by convention this significance level is often set at p < .05), the investigator is justified in rejecting the null hypothesis and therefore also in accepting its logical negation, namely the alternative hypothesis. Also called a statistical test.

Subjects: Science and Mathematics — Sociology.

Reference entries

Users without a subscription are not able to see the full content. Please, subscribe or login to access all content. subscribe or login to access all content.