Module Eleven Introduction & Overview
Welcome to Module Eleven
Staying with the theme of comparing means, the one-way ANOVA (stands for: AN alysis O f VA riance ) is the hypothesis test we use when we want to compare means between 3 or more different groups. It is similar to the independent samples t-test in the sense that it compares means between different groups, but different in how many groups it compares. Suppose you wanted to compare the average scores on a self-efficacy test between 4 different middle schools in a school district , you would use a one-way ANOVA. I hope you are comfortable with the rhythm of working through the Laerd Statistics guide in the SPSS lab and applying the skills you learn in the lab in the homework by now, but please reach out if there is any confusion in this process.
Upon completion of this module, students will be able to:
- Identify the data requirements (assumptions) needed to run a one-way ANOVA.
- Connect knowledge of levels of measurement to the one-way ANOVA and requisite assumptions.
- Perform and interpret a one-way ANOVA in SPSS.