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

$589 | Enroll Now
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Overview

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.
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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.

Instructors

Dr. Everett Smith

Dr. Everett V. Smith, Jr

Everett V. Smith Jr. is a Professor of Educational Psychology at the University of Illinois at Chicago. Dr. Smith is responsible for the development of the Ph.D. specialization and M.Ed. programs in Measurement Evaluation Statistics and Assessment (MESA); the online M.Ed. in MESA program; and the online Educational Research Methodology certificate program at UIC. Dr. Smith specializes in psychometrics, specifically Rasch measurement. His research interests and expertise include test and rating scale design and analysis for the measurement of latent constructs, testing model robustness, and, in general, applications of Rasch ...

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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

Anchoring

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

Class Dates

2021

Aug 13, 2021 to Sep 10, 2021

2022

Aug 12, 2022 to Sep 9, 2022

2023

Aug 11, 2023 to Sep 8, 2023

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Prerequisites

Ability to use Microsoft Excel.

Introductory Statistics

We assume you are versed in statistics or have the equivalent understanding of topics covered in our Statistics 1 and Statistics 2 courses. but do not require them as eligibility to enroll in this course. Please review the course description for each of our introductory statistics courses, estimate which best matches your level of understanding of the material covered in these courses, then take the short assessment test for that course. If you can not answer more than half of the questions correctly, we suggest you take our Statistics 1 and Statistics 2 courses prior to taking this course.

What Our Students Say

I enjoyed the course guidance from Everett. He really helped us to make conceptual sense of the Rasch model

Paul Vorster
University of Johannesburg

Excellent course! Dr. Smith is very dedicated, always available to answer questions, and makes this online course feel almost face-to-face

Fabiana MacMillan
Rosetta Stone

Frequently Asked Questions

What is your satisfaction guarantee and how does it work?

We offer a “Student Satisfaction Guarantee” that includes a tuition-back guarantee, so go ahead and take our courses risk free. That’s our commitment to student satisfaction. Students may cancel, transfer, or withdraw from a course under certain conditions. If you’re not satisfied with a course, you may withdraw from the course and receive a tuition refund.

Please see our knowledge center for more information.

Who are the instructors at the Institute?

The Institute has more than 60 instructors who are recruited based on their expertise in various areas in statistics. Our faculty members are:

  • Authors of well-regarded texts in their area;
  • Advisory board members;
  • Senior faculty; and
  • Educators who have made important contributions to the field of statistics or online education in statistics.

The majority of our instructors have more than five years of teaching experience online at the Institute.

Please visit our faculty page for more information on each instructor at The Institute for Statistics Education.

Please see our knowledge center for more information.

What type of courses does the Institute offer?

The Institute offers approximately 80 courses each year. Topics include basic survey courses for novices, a full sequence of introductory statistics courses, bridge courses to more advanced topics. Our courses cover a range of topics including biostatistics, research statistics, data mining, business analytics, survey statistics, and environmental statistics.

Please see our course search or knowledge center for more information.

Do your courses have for-credit options?

Our courses have several for-credit options:

  • Continuing education units (CEU)
  • College credit through The American Council on Education (ACE CREDIT)
  • Course credits that are transferable to the INFORMS Certified Analytics Professional (CAP®)

Please see our knowledge center for more information.

Is the Institute for Statistics Education certified?

The Institute for Statistics Education is certified to operate by the State Council of Higher Education for Virginia (SCHEV). For more information visit: https://www.schev.edu/

Please see our knowledge center for more information.

Visit our knowledge base and learn more.

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Additional Course Information

Organization of 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 Requirements

This is a 4-week course requiring 10-15 hours per week of review and study, at times of your choosing.

Homework

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 www.rasch.org/books.htm

Please order a copy of your course textbook prior to course start date.

Software

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.

Software Uses and Descriptions | Available Free Versions
To learn more about the software used in this course, or how to obtain free versions of software used in our courses, please read our knowledge base article “What software is used in courses?” 

Course Fee & Information

Enrollment
Courses may fill up at any time and registrations are processed in the order in which they are received. Your registration will be confirmed for the first available course date unless you specify otherwise.

Transfers and Withdrawals
We have flexible policies to transfer to another course or withdraw if necessary.

Group Rates
Contact us to get information on group rates.

Discounts
Academic affiliation?  In most courses you are eligible for a discount at checkout.

New to Statistics.com?  Click here for a special introductory discount code.  

Invoice or Purchase Order
Add $50 service fee if you require a prior invoice, or if you need to submit a purchase order or voucher, pay by wire transfer or EFT, or refund and reprocess a prior payment.

Options for Credit and Recognition

This course is eligible for the following credit and recognition options:

No Credit
You may take this course without pursuing credit or a record of completion.

Mastery or Certificate Program Credit
If you are enrolled in mastery or certificate program that requires demonstration of proficiency in this subject, your course work may be assessed for a grade.

CEUs and Proof of Completion
If you require a “Record of Course Completion” along with professional development credit in the form of Continuing Education Units (CEU’s), upon successfully completing the course, CEU’s and a record of course completion will be issued by The Institute upon your request.

Supplemental Information

There is no supplemental content for this course.

Miscellaneous

There is no additional information for this course.

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Many-Facet Rasch Measurement
$589 | Enroll Now
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