### Using ANOVA test in Research

This easy tutorial will show you how to run the One Way ANOVA test in SPSS, and how to interpret the result.

One-way ANOVA is a statistical method that examines the effect of a categorical variable with three or more groups (the factor) on one dependent variable (continuous variable). In addition, Analysis of variance (ANOVA) is a statistical procedure concerned with comparing means of several samples. On the other hand, It is kind of as an extension of the t-test for two independent samples to more than two groups. (Source)

### Assumptions of the ANOVA Test:

When performing an ANOVA procedure the following assumptions are required:

- Continuous dependent variable
- The factor consists of two or more independent groups
- Independence of observations
- No outliers
- The dependent variable has a normal distribution (one-way ANOVA is a parametric technique)
- Homogeneity of variance

### An Example: ANOVA Test

We use a one-way analysis of variance when we divide the data into groups according to only one factor.

This guide will explain, step by step, how to run one way ANOVA Test in SPSS statistical software by using an example.

For example, we will examine the effect of job responsibility on annual wage in dollars. Job responsibility is a categorical variable (factor) with three groups (small, medium, and high), and the annual wage in dollars is a continuous dependent variable.

Null hypothesis:

There is no difference in annual wages between small, medium, and high job responsibilities.

Alternative hypothesis:

There is a difference in annual wages between small, medium, and high job responsibilities.

This easy tutorial will show you how to run the One Way ANOVA test in SPSS, and how to interpret the result.