Many-Facet Rasch Measurement

Brief Description:

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

Instructor(s):
Level: Advanced-intermediate

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.

Dates:
All courses have already commenced.
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Registration:
Please read the syllabus tab, noting the prerequisites, text and software requirements.

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Many-Facet Rasch Measurement

Aim of Course:

This course 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.

Prerequisite(s):
Participants should have a good grasp of the material covered in Basic Concepts in Probability and Statistics, Introduction to Statistics 1: Inference for a Single Variable, Introduction to Statistics 2: Working with Bivariate Data and Rasch Measurement. Ability to manipulate an Excel spreadsheet is advantageous.
Course Program:

SESSION 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

SESSION 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

SESSION 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

SESSION 4: Anchoring

• Connectivity, subset detection and remedies
• Element anchoring and group anchoring
• Prettifying output for communication

Organization of the Course:

This course takes place over the internet, at statistics.com 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.

The course typically requires 15 hours per week. 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 you will receive individual feedback on your homework answers.

Credit:
Students come to The Institute for a variety of reasons:

1. You may be interested only in learning the material presented, and not be concerned with grades or a record of completion.
2. You may be enrolled in PASS (Program in Advanced Statistical Studies) that requires demonstration of proficiency in the subject, in which case your work will be assessed for a grade.
3. You may require a "Record of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's).

As you begin the class, you will be asked to specify your category.

This course offers continuing education units (CEU's). For those successfully completing the course (generally this means marks of 50% or better on the homework), 5.0 CEU's and a record of course completion will be issued by Statistics.com, upon request.

Course Text:

Instructional material will be provided online by the instructor. A reference work is Many-Facet Rasch Measurement (MESA Press, 1994) from www.rasch.org/books.htm

Software:

The course will use a time-limited version of Facets software available when the course starts. Microsoft Excel is used extensively.

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Many-Facet Rasch Measurement

Instructor(s):
Dates:
All courses have already commenced.
Course Fee: $499
Academic Discounted Rate: $399

Before registering, please read the syllabus tab, noting the prerequisites, text and software requirements. When you click the register button, you will be taken to our secure transaction page.

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