Pearson Psychometrics Laboratory

Advanced course in Rasch Measurement of Modern Test Theory

Further Information

Commences Semester 1 (February to June)

Please see the registration form for further details regarding dates and payments.

 

This course is intended as a follow-up to the ‘Introduction to Rasch Measurement of Modern Test Theory’ course.

Course outline

This unit commences in Semester 1 each year. It can be studied from anywhere in the world, with an online discussion site to be used as part of the unit.

Topics covered:

  • theory of social measurement and Rasch models;
  • revision of Rasch’s model for dichotomous responses and his original work;
  • multiple choice items and guessing;
  • understanding the Polytomous Rasch Model;
  • model fit statistics;
  • advanced understanding of differential item functioning (DIF): real and artificial DIF;
  • vertical equating and DIF;
  • assessing two violations of the assumption of local independence: multidimensionality and response dependence;
  • facets analysis and analysis of longitudinal data; and
  • reporting a Rasch analysis.

Students enrolled obtain:

  1. the study guide;
  2. a set of lecture materials, which includes a hard copy of all of the lectures;
  3. details of the assignments;
  4. selected readings; and
  5. a copy of the new RUMM2030 software for the duration of the course.

Assessment requirements

Assignments include analyses of real and simulated data sets using new features available in RUMM2030 and one assignment where participants have the option of analysing their own data.

Admission requirements

This course is intended as a follow-up to the Introduction to Rasch Measurement of Modern Test Theory course.

If you have not completed the Introductory course and are interested in enrolling for this advanced course contact the course coordinators to get more information.

Course enquires

Course content:
W/Prof David Andrich 
Telephone: (+61 8) 6488 1085

Asst/Prof Ida Marais
Telephone: (+61 8)6488 3353

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Enrolment and administration:
Natalie Carmody
Telephone: (+61 8) 6488 2308

 

Pearson Psychometrics Laboratory

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Last updated:
Monday, 9 January, 2012 1:36 PM

http://www.education.uwa.edu.au/ppl/549226