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Research Methods & Statistics (University of Essex course code PS908)

I am currently teaching introductory Analysis of Variance (ANOVA) to MSc Psychology students.
This covers the basic underlying principles, single factor designs, factorial designs and interaction.


A table of critical values for the F distribution can be downloaded here


Topic 1 Thumb
Topic 1

ANOVA First Steps

Understanding variability in data, types of variance and their implications for statistical testing. Introduction to Analysis of Variance and calculating F for a single-factor between-subjects design.

For a printer-friendly version of the slides, without the
coloured backgrounds, click here

For a copy of the classroom exercises used during the lecture, click here


Topic 2 Thumb
Topic 2

ANOVA Follow-up Tests

The problem of multiple comparisons and strategies
for dealing with this. Post-hoc testing and planned comparisons, including examples of the Tukey test
and also Bonferroni and Scheffé adjustments.

For a printer-friendly version of the slides, without the
coloured backgrounds, click here

For a copy of the classroom exercises used during the lecture, click here


Topic 3 Thumb
Topic 3

Within-Subjects ANOVA

Identifying and measuring individual differences and residual variability. Calculating F for a single-factor
within-subjects design and performing follow-up tests
for designs with three or more levels.

For a printer-friendly version of the slides, without the
coloured backgrounds, click here

For a copy of the classroom exercises used during the lecture, click here


Topic 4 Thumb
Topic 4

ANOVA for Factorial Designs

Identifying main effects in factorial designs, interpreting different patterns of significances. Simple main effects
and interaction.

For a printer-friendly version of the slides, without the
coloured backgrounds, click here

For a copy of the classroom exercises used during the lecture, click here


Topic 5 Thumb
Topic 5

Two-Factor Fully Between-Subjects ANOVA

Calculating F ratios for a two-factor fully between-subjects design. Interpreting an interaction by testing the simple main effects. Beyond 2x2 ANOVA.

For a printer-friendly version of the slides, without the
coloured backgrounds, click here

For a copy of the classroom exercises used during the lecture, click here