Survey data analysis II: Introduction to linear regression modelling Event

The course covers simple and multiple linear regression, where the dependent variable is a continuous variable. (This course is designed to follow the introductory CASS course Survey Data Analysis I. Course participants who have not attended this course can of course attend).

Course Objectives:

• To develop a practical understanding of the basic statistical principles and methods of modelling relationships between variables with focus on simple and multiple linear regression,
• To be able to interpret the results of variables and effects included in linear models,
• To develop a practical understanding of the principles of covariance, correlation, and simple and multiple linear regression,
• To understand the assumptions behind the models, the impact of violations, how violations can be diagnosed and possible solutions.
• To be able to use and interpret categorical variables and interactions in linear regression analysis.
• To enable participants to employ appropriate methods in analysing their data (course participants can bring their own data to the course if they wish).

Course Content:

• Covariance and correlation
• Simple linear regression modelling (the dependent variable is a continuous variable)
• Interpreting computer output
• Model checking and model selection
• Multiple regression modelling including more than one independent variable in the model (the dependent variable is a continuous variable)
• Handling categorical variables and interactions (as independent variables)

The course will have a strong practical emphasis, with regular computer workshop session enabling participants to work through examples in SPSS. The course will not cover logistic or multinomial regression (i.e. regression methods where the dependent variable is a binary or categorical variable). This will be the focus of the CASS course 'Regression Methods for Survey Data', which is also part of the CASS short course programme.

Target Audience:
The course is aimed at researchers who need to perform or interpret basic statistical analyses on data from sample surveys, especially those in the social, economic, educational and medical sciences. Participants may be researchers working in academia, local or central government, survey agencies, market research, the voluntary or the private sector.

Duration:
On the first day, the course will start with registration and coffee at 9.30 with formal teaching starting at 10.00 a.m; it will finish at about 5.45pm. On the last day, the course will start at about 9.30am and formal teaching will end at about 3.30p.m. Afterwards there will be an opportunity for participants to ask questions about the course and to discuss with the instructor how to analyse their own data (until about 4pm). (You can bring your own data to the course if you wish).

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