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Many-Facet Rasch Measurement

Many-Facet Rasch Measurement

This course will teach you the analysis and interpretation of judge-intermediated ratings, like essay grading, Olympic ice-skating, therapist ratings of patient behavior, etc.


This course is intended for researchers and analysts who deal with data that include ratings from human judges. You will learn how to assess whether raters function (as desired) interchangeably, or if they differ systematically in ways that can impair the overall rating system.

  • Intermediate, Advanced
  • 4 Weeks
  • Expert Instructor
  • Tuiton-Back Guarantee
  • 100% Online
  • TA Support

Learning Outcomes

Students who complete this course will learn basic concepts of software installation and operation required for Rasch measurements. You will explore fit analysis and measurement models, how to account for estimations and interactions, and anchoring.

  • Define facets, elements, persons, items, raters in the Rasch context
  • Conduct two-facet and three-facet analyses
  • Deal with missing data and bias
  • Handle interactions with dummy facets
  • Detect subsets and determine remedies

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.

Course Syllabus

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


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

Class Dates


08/09/2024 to 09/06/2024
Instructors: Dr. Everett V. Smith, Jr


Ability to use Microsoft Excel.

Karolis Urbonas
Susan Kamp
Stephen McAllister
Amir Aminimanizani
Elena Rose
Leonardo Nagata
Richard Jackson

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Many-Facet Rasch Measurement

Additional Information


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.

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 Facets software available when the course starts. Microsoft Excel is used extensively. NOTE: Facets does not run on native Macintosh OS; you will need to be running Windows.

Register For This Course

Many-Facet Rasch Measurement