Survey research and design in psychology/Lectures/ANOVA
Lecture 9: ANOVA
Resource type: this resource contains a lecture or lecture notes. |
This is the ninth lecture for the Survey research and design in psychology unit of study.
Outline
editExplains the principles of ANOVA, starting with explanation of t-tests and includes the design, assumptions, and interpretations for one-way ANOVA, one-way repeated measures ANOVA, factorial ANOVA, mixed-design ANOVA (SPANOVA), and ANCOVA.
Assumed knowledge
edit- t-tests
- One-sample t-test
- Independent samples t-test
- Paired samples t-test
- Howell Ch3 The Normal Distribution
- Howell Ch4 Sampling Distributions and Hypothesis Testing
- Howell Ch7 Hypothesis Tests Applied to Means
Readings
edit- Howell Ch11 Simple Analysis of Variance
- Howell Ch12 Multiple Comparisons Among Treatment Means
- Howell Ch13 Factorial Analysis of Variance
- Howell Ch14 Repeated-Measures Designs
- Howell Ch16 Analyses of Variance and Covariance as General Linear Models
- Inferential statistics decision-making tree
Handout
edit- 2012 handouts:
Recordings
editThese are the 2012 lecture recordings:
See also
edit- MLR II (Previous lecture)
- Power & effect sizes (Next lecture)
- ANOVA (Data analysis tutorial)
External links
edit- Lecture slides (slideshare)