Many-Facet Rasch Measurement

Many-Facet Rasch Measurement

taught by Everett Smith

Aim of Course:

This online course, "Many-Facet Rasch Measurement" will cover the analysis and interpretation of judge-intermediated ratings, like essay grading, Olympic ice-skating, therapist ratings of patient behavior, etc. Specifically, you will learn how to assess whether raters function (as desired) interchangeably, or whether they differ systematically in ways that can impair the overall rating system.

This course may be taken individually (one-off) or as part of a certificate program.
Course Program:

WEEK 1: Software Operation and Basic Concepts

  • Software installation and operation
  • Facets, elements, persons, items, raters
  • Data entry methods, including using Excel
  • Rasch measurement concepts
  • Dichotomous and polytomous models
  • Rasch measures and measurement rulers

WEEK 2: Fit Analysis and Measurement Models

  • A two-facet dichotomous analysis
  • Observations, measures, expectations and residuals
  • Mean-square and standardized fit statistics
  • Outfit and Infit statistics
  • A three-facet polytomous analysis
  • Reliability, separation and inter-rater reliability
  • Rating scale structures

WEEK 3: Estimation and Interactions

  • A four-facet polytomous analysis
  • Missing data
  • Bias/interaction analysis
  • Graphing interactions with Excel
  • Recoding the data
  • Interactions with dummy facets

WEEK 4: Anchoring

  • Subset detection and remedies
  • Anchoring, linking and equating
  • Judging plan and Generalizability Theory
  • Prettifying output for communication


Homework in this course consists of short answer questions to test concepts.

In addition to assigned readings, this course also has supplemental readings available online and an end of course data modeling project.

Many-Facet Rasch Measurement

Who Should Take This Course:
Researchers and analysts in education, psychology, medicine and other fields who deal with data that include ratings from human judges.

Ability to manipulate an Excel spreadsheet is advantageous.

You should be familiar with introductory statistics.  Try these self tests to check your knowledge.
Organization of the Course:

This course takes place online at the Institute for 4 weeks. During each course week, you participate at times of your own choosing - there are no set times when you must be online. Course participants will be given access to a private discussion board. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor.

At the beginning of each week, you receive the relevant material, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials, work through exercises, and submit answers. Discussion among participants is encouraged. The instructor will provide answers and comments, and at the end of the week, you will receive individual feedback on your homework answers.

Time Requirement:
About 15 hours per week, at times of  your choosing.

Options for Credit and Recognition:
Students come to the Institute for a variety of reasons. As you begin the course, you will be asked to specify your category:
  1. No credit - You may be interested only in learning the material presented, and not be concerned with grades or a record of completion.
  2. Certificate - You may be enrolled in PASS (Programs in Analytics and Statistical Studies) that requires demonstration of proficiency in the subject, in which case your work will be assessed for a grade.
  3. CEUs and/or proof of completion - You may require a "Record of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's).  For those successfully completing the course,  CEU's and a record of course completion will be issued by The Institute, upon request.
  4. Digital Badge - Courses evaluated by the American Council on Education have a digital badge available for successful completion of the course.  
  5. Other options - Specializations, INFORMS CAP recognition, and academic (college) credit are available for some courses
Specializations are an easy way for you to demonstrate mastery of a specific skill in statistics and analytics. This course is part of the Rasch & Item Response Theory Specialization which gives a deep dive into statistical methods for calibration and equating of test instruments.
Course Text:
Instructional material will be provided online by the instructor. A reference work is Many-Facet Rasch Measurement (MESA Press, 1994) from
The course will use a time-limited version of Winsteps software available when the course starts. Microsoft Excel is used extensively. NOTE: Winsteps does not run on native Macintosh OS; you will need to be running Windows.


August 07, 2020 to September 04, 2020

Many-Facet Rasch Measurement


August 07, 2020 to September 04, 2020

Course Fee: $589

Do you meet course prerequisites? What about book & software? (Click here to learn more)

We have flexible policies to transfer to another course, or withdraw if necessary (modest fee applies)

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