Title: Conclusion
Course: UGQuants (SSPS) > Section: Association for Nominal and Ordinal Variables

Conclusion

In this module you should have learned the following:

1 | That tables are a convenient and powerful way of presenting and analysing data at the nominal and ordinal levels of measurement
2 | That measures of association are useful summary statements of the strength of a relationship between two variables at the nominal or ordinal level of measurement, in particular as they allow us to make more comparisons between different pairs of variables
3 | The measures of association take values between 0 and 1, where 0 represents no association and 1 represents the strongest possible association.
4 | Measures can also take a positive or negative sign, but for nominal data interpretation depends on how we have ordered the categories of each variable.
5 | How to calculate Yule's Q, Chi, Phi, Cramer's V, Lambda and Tau for a pair of variables.
6 | How Chi and Cramer's V proceed by comparing the observed data to that which would have been obtained were there no relationship between our two variables.
7 | How Lambda and Tau proceed by estimating how much reduction in error we can achieve in estimating the distribution of values of one variable, once we know the values of another variable to which it is related.
8 | How Gamma is calculated for ordinal level data.
9 | How to use the software to obtain these measures of association for pairs of variables