Module SOCI57615: Categorical Data Analysis with SPSS and R

Department: Applied Social Sciences

SOCI57615: Categorical Data Analysis with SPSS and R

Prerequisites

• Statistical Exploration and Reasoning.

Corequisites

• None

Excluded Combination of Modules

• None.

Aims

• To introduce students to the statistical methods for analysing categorical data that are collected from real social surveys.
• To introduce students to some of the computing functions in SPSS and R that are useful for graphing and analysing categorical data.

Content

• Statistical inference for a single categorical variable;
• Measuring and graphing the relationship between two categorical variables;
• Statistical methods for studying multi-way contingency tables;
• Binary logistical regression models;
• Log-linear models.

Learning Outcomes

• Manage social survey data with specific functions of SPSS and R;
• Produce relevant statistics on categorical variables with SPSS and R;
• Interpret the meaning of statistics in the context of the data;
• Construct logistic models and interpret the results;
• Construct and choose log-linear models and interpret the results.

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

• Lectures and computer lab sessions.
• At the end of the module students will be given materials suitable for the conduct of categorical data analysis. Having done this they will be expected to carry out appropriate tasks and comment on the findings they generate. Students will also be given a set of real survey data. They will be expected to carry out appropriate analyses, and to comment on the findings of those analyses.

Teaching Methods and Learning Hours

Summative Assessment

Formative Assessment:

There will be a formative assessment that draws on some exercises included in the textbook.

■ Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University