Skip to main content

Main Effect

Edited by: Published: 2008
+- LessMore information
Download PDF

A main effect is a statistical term associated with experimental designs and their analysis. In the analysis of variance statistical test, which often is used to analyze data gathered via an experimental design, a main effect is the statistically significant difference between levels of an independent variable (e.g. mode of data collection) on a dependent variable (e.g. respondents' mean amount of missing data), ignoring the influence of other factors. To better understand the statistical concept of a main effect, it is helpful to understand a few key terms and experimental conditions under which a main effect may be found.

When conducting research, it is not uncommon to use a factorial analysis of variance to determine how two or more categorical independent variables (called factors in analysis ...

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