Page 90 - Quantitative Data Analysis

Quantitative Data Analysis
Simply Explained Using SPSS

Unit # 6

ANOVA

Learning Outcomes

At the end of this unit, readers will be able to:
 Understand and to perform a 7-step hypothesis test for
ANOVA paired group means using the appropriate
formula.
 Distinguish difference between Two-sample independent t
test and ANOVA.

 Identify when to use ANOVA tests in research.
 Practically conduct ANOVA t test in SPSS.
 Understand the assumptions for an ANOVA F-test.
 Interpret ANOVA (F test) results.
 Write statistical and research conclusion in APA style.

ANOVA

The t-test compares the means between two samples and is simple
to conduct, but if there are more than two conditions in an
experiment an ANOVA is required. ANOVA stands for ANalysis Of
Variance. The fact the ANOVA can test more than one treatment is a
major advantage over other statistical analysis such as the t-test.
ANOVA (analysis of variance) tests are used to compare the means
of multiple groups (as opposed to the t-test, which can only be used
for up to two groups). It is important to know that when looking at

The Theory and Applications of Statistical Inferences 74