Rasch Courses

Rasch Courses

Introduction to Rasch Analysis

This workshop provides an introduction to Rasch analysis. It will suit those working in the measurement of outcomes in the health sciences, of attitudinal data in the social sciences, or in educational testing. It will take the form of hands-on tuition in using the Rasch Unidimensional Measurement Models (RUMM2030) software package. At the end of the two-and-a-half days workshop students should understand and be able to analyse data, using RUMM2030, for:

  • Input of data into the RUMM2030 programme
  • Testing for local dependency and unidimensionality assumptions
  • Assessing scaling characteristics and fit to the Rasch model.
  • Examining the category probability patterns for polytomous items
  • Examining the targeting and reliability of the scale or test
  • Assessing Differential Item Functioning
  • Assessing Response Dependence

Intermediate Rasch Analysis

This workshop will look at more advanced topics using the RUMM2030 software, and will include issues of establishing item banks, the principles of Computer Adaptive Testing, assessing complex DIF issues and tips on writing a Rasch paper.

*Please be aware that some familiarity with the RUMM2030 software is assumed on this course, therefore all participants are expected to have completed the introductory course or have experience with RUMM 2020/2030 software.

 At the end of this workshop, students should be able to:

  • Understand the process of establishing an item bank
  • Understand the principles of anchoring item calibrations
  • Test the efficacy of the item bank under CAT simulation
  • Assess and accommodate complex DIF
  • Adjust estimates of patient ability for group differences in outcome measures
  • Write a good Rasch paper

Advanced Rasch Analysis

This workshop will concentrate on introducing substantive methodological issues using a range of software, and will include simulation of data to address current issues of methodological concern.

This is an interactive workshop featuring an external expert(s) in the field of Rasch Analysis. The content of the course changes every time the Advanced Course is run, and varies depending on current issues and the external expert involved.

Examples of issues tackled include:

  • Simulating data to examine the effect of different levels of local dependency upon person estimates
  • Simulating data to examine the effect of disordered thresholds upon the interpretation of fit and unidimensionality
  • Simulating data to test if imputed data affects interpretation of Rasch fit
  • Comparing unidimensional and multidimensional estimates                                     

Dates, Pricing and Booking Information

Please book via the secure online booking link, payment is by credit card only.

If you have any queries relating to the courses, then please Angela Greenbank (a.greenbank@leeds.ac.uk) for administrative enquires or Mike Horton (m.c.horton@leeds.ac.uk) for course-content related enquiries.

Course Start / End Times

 

Day 1

Day 2

Day 3

Introductory

 14:00- 17:30

 09:30 - 17:30

09:30 - 16:00 

Intermediate

 14:00 - 17:30

 09:30 - 17:30

09:30 - 16:00

Advanced

 09:30 - 17:30

 09:30 - 17:30

 n/a

 

Course

Dates Cost Places remaining

 

 

Introductory 2017

 

27-29 September 2017

 

£600

8 Book here

6-8 December 2017

 

£600

 

9 Book here
Intermediate 2017

 

No courses running in 2017

 

Advanced 2017

 

No courses running in 2017

 

 

  All of the courses can be found here in one listing:

http://store.leeds.ac.uk/browse/product.asp?compid=1&modid=1&catid=539

  **Software - For further information on the Rumm2030 software please go to the Rummlab http://www.rummlab.com.au/

Commercial rates also available upon request.

Advanced users are expected to have the software.

All course fees include lunches for two days and one course supper at a local restaurant.

Course Location and Accommodation Options

The courses are run from the Psychometric Laboratory for Health Sciences, which is based in the Martin Wing of Leeds General Infirmary (the hospital), which is located in Leeds city centre.

Unfortunately we are not allowed to officially recommend any particular accommodations as the University of Leeds cannot vouch for their quality or take any responsibility for any issues that may arise.  However, as the course location is in Leeds city centre, most places around the city centre should be reasonably convenient.  The postcode for the department is LS1 3EX if you wish to do a vicinity search (eg. At http://www.laterooms.com/).

Previous participants have stayed at the:  

Radisson Blu ( http://www.radissonblu.co.uk/hotel-leeds?facilitator=BIGMOUTHMEDIAREZIDOR&gclid=CMiAjv7bysMCFY_MtAoduWEA7Q&csref=g_en_sk_brand_3_lbazh)

Ibis (http://www.accorhotels.com/gb/hotel-3652-ibis-leeds-centre/index.shtml)

Novotel (http://www.novotel.com/gb/hotel-3270-novotel-leeds-centre/index.shtml)

Marriott (https://www.marriott.co.uk/hotels/travel/lbadt-leeds-marriott-hotel/)

Crowne Plaza (http://www.cpleedshotel.co.uk/)

Park Plaza (http://www.parkplaza.com/leeds-hotel-gb-ls1-5ns/gbleeds)

Clayton Hotel (formerly Bewley's Hotel) (http://www.claytonhotelleeds.com/?gclid=CIWZ-eH04cYCFYvHtAodIhcLSA)

Jury's Inn (https://www.jurysinns.com/hotels/leeds)

Premier Inn (http://www.premierinn.com/en/hotel/LEEHEP/leeds-city-centre-leeds-arena)

There are also lots of accommodation options in Headingley, which is about 3 miles out of the city. Options here would include:

Weetwood Hall (http://www.weetwood.co.uk/)

The Village (https://www.village-hotels.co.uk/hotels/leeds-north/)

Haleys (http://www.haleys.co.uk/)

Ascot Grange (http://www.ascotgrangehotel.com/)

There are lots more hotel, guesthouse and bed & breakfast options available around the city centre and Headingley, so hopefully there should be something suited to your requirements.

University accommodation is not usually available at the times when we run the courses, but the website is here should you wish to check:

http://www.universityrooms.com/en/city/leeds/home

Terms & Conditions

The course fee is exempt from VAT.

Registrations are accepted on the understanding that the courses are offered in good faith but may have to be rescheduled or altered for reasons outside our control. The University of Leeds reserves the right to cancel or postpone the course, in which case the fees will be refunded in full. In the event of cancellation, the University will not be held liable for delegates' travel or accommodation expenses.

Where a delegate wishes to cancel a registration, written cancellations received up to 28 days prior to the start of the course will be subject to an administration charge of £50. After this date the full fee is chargeable and no refund will be made. However, we can accept substitution of a student at any time. We can also accept transfer to another course, subject to place availability up to 28 days prior to the start of the original course without additional charge, within 28 days transfer to a subsequent course will be £100.