Quantifying the User Experience, 2nd Edition

Key points

• Linear correlation, linear regression, and ANOVA are variations of the General Linear Model.

• Use correlation to assess the extent to which two variables are related or independent (and be sure to graph the relationship).

• Guidelines for interpreting the magnitude of correlations are: small (r = 0.10), medium (r = 0.30), and large (r = 0.50).

• Correlation alone does not prove causation.

• For binary data, use phi correlation.

• Use linear regression to model the relationship between two variables.

• Be cautious when using a regression equation to extrapolate (estimate beyond the ends of the observed values).

• To compare more than two means, use a one-way ANOVA combined with multiple comparisons.

• If there is a need to adjust ...