Survey research and design in psychology/Tutorials/ANOVA/Advanced
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Design your own ANOVAs
[edit | edit source]- Using qfsall.sav or any other data, conduct and interpret your own:
(including descriptives, graphs, F tests, and follow-up tests as appropriate)- one-sample t-test
- independent samples t-test
- paired samples t-test
- One-way ANOVA
- Repeated-measures ANOVA
- factorial ANOVA
- Mixed-design ANOVA (or Split-plot ANOVA (SPANOVA))
- ANCOVA
- MANOVA
Interactions
[edit | edit source]- Notes on understanding interaction
- Create your own data set for conducting some mock 2-way ANOVA analyses
- Adjust the data and / or ANOVA analyses in order to create the following (include ANOVA results and appropriate graphs):
- No effects
- Main effect A, no main effect B, no interaction
- Main effect A, no main effect B, interaction
- No main effect A, main effect B, no interaction
- No main effect A, main effect B, interaction
- Main effect A, main effect B, no interaction
- Main effect A, main effect B, interaction
- Interaction, no main effects
- If unsure, you can download and try out interactions.sav (dataset), interactions.sps (syntax file), and interactions.spo (output file).
MANOVA
[edit | edit source]- Allen & Bennett: Chapter 11 (pp. 141-161)
- data_11_1.sav | sps
- data_11_2.sav | sps