Skip to main content

False Positive

Edited by: Published: 2017
+- LessMore information
Download PDF

A false positive, also known as Type I error or alpha error, is an error that occurs when a researcher falsely concludes that an effect exists, or when a null hypothesis is rejected even though the null is true. For this reason, a false positive is also referred to as falsely rejecting the null hypothesis (or simply “falsely rejecting the null”). In other words, a claim is made that something is true when in reality it is not. It is important to understand the concept of a false positive when conducting communication research because scholars want to avoid making conclusions that are incorrect. Consider the following example: The true state of the world (reality) is that men and women have relatively equal levels ...

Looks like you do not have access to this content.

Reader's Guide

  • All
  • A
  • B
  • C
  • D
  • E
  • F
  • G
  • H
  • I
  • J
  • K
  • L
  • M
  • N
  • O
  • P
  • Q
  • R
  • S
  • T
  • U
  • V
  • W
  • X
  • Y
  • Z

      Copy and paste the following HTML into your website