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Further Multilevel Modelling

Course dates:

To be arranged

  • Are you dealing with hierarchical data?
  • Do you have binary or ordinal responses?
  • You need to use Multilevel Modelling

Please see our full list of courses for available dates and details of costs.

Who is it for?

This course carries on from the Introduction to Multilevel Modelling course and concentrates on models for more complex outcomes such as binary and ordinal responses. The package MLwiN is again used.

What prior knowledge is assumed?

It is assumed that delegates on this course have a knowledge equivalent to having attended the Introduction to Multilevel Modelling course.

What does the course cover?

The topics covered in the course are:

The topics covered in the course are:

  • Review of the basics of multilevel modelling
  • Multilevel modelling for binary outcomes
  • Multilevel modelling for ordinal outcomes
  • Using MLwiN to fit multilevel models for binary and ordinal outcomes
  • Interpreting the results of binary and ordinal multilevel analyses

Why choose this course?

  • Learn how to examine data for relationships that may or may not exist, from surveys, experiments or elsewhere
  • Study at the University's state-of-the-art de Havilland campus
  • Discounts are available for those attending more than one course

Entry requirements...

It is assumed that delegates on this course have a knowledge equivalent to having attended the Introduction to Multilevel Modelling course.

Start DateLink
07/11/2013 Year

Course fees

Course fee: £275 including teas/coffees and lunch

Discounts are available for those attending more than one course (e.g. Introduction to Multilevel Modelling), and research students. Those on limited incomes should contact the course organisers to discuss their situation.

For enquiries, please phone 01707 285574 or e-mail statistics@herts.ac.uk.

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Terms and Conditions

All bookings are subject to the standard terms and conditions of the University of Hertfordshire. A copy of these standard terms and conditions is available on request by emailing CPDU@herts.ac.uk.

Study routes

  • Part Time
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