Title: Tutorial activities: Measures of association
Course: UGQuants (SSPS) > Section: Association for Nominal and Ordinal Variables

Tutorial activities

Using the ESS round 5 Practice datset, produce contingency tables, with appropriate measures of association for:
respondent's fear of crime by age
age by edugb

Satisfy yourself that the contingency tables are dificult to interpret.

Recode the original age variable to take only 3 values. Recode edugb to take only 3 values. For each variable justify your reasons for grouping the categories together in the way you have chosen. Produce a contingency table and associated statistics with your two new variables.

What would you conclude from this table?

Use the relevant variables in the dataset to answer the following questions:

1. How strong would you say the relationship is between gender and personal income?
2. Which correlation is stronger: That between gender and marital status or that between gender and religiosity?
3. Examine the relationship between gender and educational qualifications (as measured by your recoded edugb variable). What would you conclude?