An analysis of Variance (ANOVA) is a statistical procedure,
which is for testing variation among the means of more than two groups, and is
used for the study of two groups (Aron, Aron, & Coups, 2009). To determine
if there is a difference on some variable between two or more groups a
researcher uses ANOVA. ANOVA is a technique, which can be used to test the
hypothesis that the means among two or more groups are equal, under an
assumption that the sampled populations are normally distributed (Aron, Aron, &
Coups, 2009). ANOVA is equivalent to more than one t-tests, therefore compare
the means of three groups is easily accomplished with conducting a 1-way ANOVA
with the three groups instead of conducting three different t-test. An example
of using ANOVA is when conducting a one-way ANOVA to determine if there are
significant differences between the reading levels of a set of triplets in
fifth grade in three different english classes of the same school. These three
environments (three different classes) form the three levels of the factor.
Post hoc comparisons are several comparisons, which are not specified in
advance (Aron, Aron, & Coups, 2009). After an analysis of variance post hoc
comparisons are conducted as part of an exploratory analysis (Aron, Aron, &
Coups, 2009).

## Monday, March 18, 2013

### What is an analysis of Variance (ANOVA) and when would a researcher use ANOVA for data analysis? Provide an example. What are post hoc comparisons and why are they conducted?

Subscribe to:
Post Comments (Atom)

## No comments:

## Post a Comment

Note: Only a member of this blog may post a comment.