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CMI Short Courses
Available Places on the following 3 courses:


Do you want to learn about Psychometric Models?
Do you want to learn how to use Rasch Models in your data?
Do you deal with Categorical Data?
Well Measurement with Rasch Theory on the 24th & 25th<file:///C:\Program%20Files%20(x86)\Google\Chrome\Application\chrome.exe> January may be the course for you. This two day intermediate course at the prestigious Cathie March Institute for Social Science<file:///C:\Program%20Files%20(x86)\Google\Chrome\Application\chrome.exe> provides an excellent grounding in this statistical tool.

The course will begin with the basics, learning how to construct and validate measurement theory and Rasch Models, moving onto analysis and interpretation using the models in hands on practical sessions.


Do you deal with binary variables?
Do you need to analysis a variety of different variables in the same model?
Do you want to learn how to use predictive data analysis, like Regression?
The Introductory course in Logistic Regression on the 18th January<file:///C:\Program%20Files%20(x86)\Google\Chrome\Application\chrome.exe> will teach you how to interpret results and equip you with the skills needed to use this tool in your own research. The course is designed for users of survey data with some experience in data analysis who want to expand their understanding of more sophisticated techniques.


Ever fancied trying Cluster Analysis in your research?
Do you have data that appears to have structures and groupings?
Want a handy tool to explore and analysis your data?
The Introduction to Cluster Analysis course on the 1st February<file:///C:\Program%20Files%20(x86)\Google\Chrome\Application\chrome.exe> is perfect for the job. The Cathie Marsh Institute runs a one day introductory course that will teach participant how to understand clustering methods and carry out analysis.


If you wish to learn more and book onto one of these courses either,

Visit: https://www.cmist.manchester.ac.uk/study/short/list/
Twitter: @cmi_courses
Email: [log in to unmask]<mailto:[log in to unmask]>


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