Survey research and design in psychology/Tutorials/ANOVA/Advanced

Design your own ANOVAs

• 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

• 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):
  1. No effects
  2. Main effect A, no main effect B, no interaction
  3. Main effect A, no main effect B, interaction
  4. No main effect A, main effect B, no interaction
  5. No main effect A, main effect B, interaction
  6. Main effect A, main effect B, no interaction
  7. Main effect A, main effect B, interaction
  8. 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

• Allen & Bennett: Chapter 11 (pp. 141-161)
• data_11_1.sav | sps
• data_11_2.sav | sps

Calculators

• Power.xls
• Cohensd.xls
• Z table / calculator