chi square and pearson correlation both evaluate relationships between two variables. the type of data obtained determines which one is appropriate. chi square is used instead of t test or anova, when counts rather than means of categories are being compared. chi square can evaluate the significance, parametric tests measurer strength and effect with greater precision