Archive:Advanced ANOVA/One-way ANOVA: Difference between revisions
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==Introduction== | ==Introduction== | ||
* Unit outline (updated) | * Unit outline (updated - to upload/link) | ||
* Assessment | * [[/Assessment/]] | ||
==General steps== | |||
# Establish hypothesis/hypotheses | |||
# Identify IV (categorical; between-subjects) and DV (at least interval) | |||
# Examine assumptions: | |||
#* The data in each cell is normally distributed | |||
#* Homogeneity of variance (the variance in each cell is similar) | |||
#* Cells are independent | |||
# Create descriptive statistics | |||
# Possible graphs: | |||
#* Bar graph | |||
#* Box and whisker | |||
#* Error-bar graph | |||
# Conduct inferential test and interpret significance | |||
# Conduct planned contrasts of post-hoc tests if ''F'' is significant | |||
# Interpret effect sizes (later in this tutorial) | |||
#* Eta-square (omnibus - equivalent to ''R''<sup>2</sup>) | |||
#* Standardised mean effect size (difference b/w two means) | |||
==Visual ANOVA== | ==Visual ANOVA== | ||
Revision as of 16:39, 30 July 2008
This tutorial focuses on one-way ANOVA.
Introduction
- Unit outline (updated - to upload/link)
- /Assessment/
General steps
- Establish hypothesis/hypotheses
- Identify IV (categorical; between-subjects) and DV (at least interval)
- Examine assumptions:
- The data in each cell is normally distributed
- Homogeneity of variance (the variance in each cell is similar)
- Cells are independent
- Create descriptive statistics
- Possible graphs:
- Bar graph
- Box and whisker
- Error-bar graph
- Conduct inferential test and interpret significance
- Conduct planned contrasts of post-hoc tests if F is significant
- Interpret effect sizes (later in this tutorial)
- Eta-square (omnibus - equivalent to R2)
- Standardised mean effect size (difference b/w two means)
Visual ANOVA
- Understanding ANOVA Visually (may require viewing with Internet Explorer)
- Under what conditions would F be the smallest?
- Under what conditions would F be the largest?
- Now explore the same ideas with this more advanced Visualisation Tool for One-way and Two-way ANOVA Applet
Error bar graphs
- Use any dataset
- Conduct a one-way ANOVA and graphically present the means and confidence intervals using an Error Bar Graph - is this error bar chart consistent with the statistical results? Why? Why not?