Survey research and design in psychology/Tutorials/Correlation
|This tutorial introduces statistical and graphical examination of linear relations between two variables. Non-parametric and parametric correlational techniques are explained.
The tutorial builds on understanding of univariate descriptive statistics and graphing, and levels of measurement. Non-parametric and parametric linear correlational analyses are conducted in SPSS, with an emphasis on the importance of visualising the data, particularly scatterplots.
Interactive correlation guess exercises are used to help make intuitive connection between correlations and scatterplots. In addition, the effect of outliers and non-linear relations are considered.
Contents[edit | edit source]
- General steps
- Types of correlation and level of measurement
- Types of correlations - Exercises
- Scatterplot correlation guess
- Effects of outliers
- Correlations and non-linear relations
Readings[edit | edit source]
- Howitt & Cramer (2014)
- Part 2: Descriptive statistics (particularly Chapters 8 to 11)
- Allen & Bennett (2010)
- Chapter 12 "Correlation"
- Chapter 16 "Non-parametric procedures"
- 16.3 Chi-square for contingencies
- 16.10 Cramer's V
- 16.11 Spearman's Rho and Kendall's Tau-B
- Francis (2007)
- Section 3.1 "Relations Between Metric Variables"
Recordings[edit | edit source]
See also[edit | edit source]
- Introduction (Previous tutorial)
- Psychometrics (Next tutorial)
- Instructor notes
- Correlation (Lecture)
- Outliers and restricted range (Advanced correlation tutorial exercise)