Quantitative Stream Assignments 2023

Complete three short assignments

Participants on the quantitative stream who require credit must complete three short assignments.


Friday 23 June 2023 16h00 (for all three assignments) unless otherwise agreed.


Please address any queries regarding specific assignment questions, or any general queries regarding submission, file formats and extensions etc., to Brendan.Halpin@ul.ie.


Please submit your assignments by e-mail to Brendan.Halpin@ul.ie. Files should be saved as Open Document Format, PDF, Microsoft Word or Rich Text Format documents. Please do not assume successful delivery until you have received a submission receipt.


Unit B1: Correlation and Regression

The assessment for Unit B1 is drawn from chapters 8, 10 and 11 of Agresti, Statistical Methods for the Social Sciences (available from the UL Library). Please complete exercises 8.13, 8.27, 10.29, 11.8 (the data is available in Stata via use https://teaching.sociology.ul.ie/so5032/labs/agresticounties), 11.19 (use the Stata command do https://teaching.sociology.ul.ie/ssrm/unitb1/houses to access this data) and 11.23.

Unit B2: Categorical Data Analysis

The assessment for Unit B2, Categorical Data Analysis, is drawn from chapters 8 and 15 of Agresti. Please complete exercises 8.16, 8.24, 15.3, 15.4 (in Stata, do do https://teaching.sociology.ul.ie/so5032/creditcard to load the data).

Unit B3: Secondary Data Analysis

The assignment consists in using secondary data to carry out a mini research project on a topic of your choice. Using secondary data available through the ISSDA or the ESS), or any other data to which you have access, identify a interesting research question that can be addressed. Conduct the analysis and write it up in a brief report, appending the minimal Stata do-file used to generate the results. Marks will be given for the substantive interest of the research question, the appropriateness of the data for the question, the appropriateness and correctness of the analytical methods used, the correctness and clarity of the conclusions drawn, and the clarity of the presentation.