Rasch analysis constructs linear measures from scored observations, such as responses to multiple-choice questions, Likert scales and quality-of-life assessments. This course covers the practical aspects of data setup, analysis, interpretation and reporting. Simple test linking and equating designs are addressed, and supporting theory is presented conceptually. The course will use a time-limited version of Winsteps software, and Microsoft Excel is used extensively.
Rasch Measurement – Core Topics
This course will teach you how Rasch analysis constructs linear measures from scored observations, such as responses to multiple-choice questions, Likert scales, and quality-of-life assessments. You will learn the practical aspects of data setup, analysis, output interpretation, fit analysis, differential item functioning, dimensionality and reporting.
This course will teach you how Rasch analysis constructs linear measures from scored observations. You will learn the practical aspects of data setup, analysis, output interpretation, fit analysis, differential item functioning, dimensionality and reporting.
This course will teach you how Rasch analysis constructs linear measures from scored observations, such as responses to multiple-choice questions, Likert scales and quality-of-life assessments. Students will learn basic concepts and operations including software installation, fit analysis and measurement models, ratings and reliability, and dimensionality.
- Install Winsteps software
- Describe basic test and Rasch measurement concepts
- Conduct simple dichotomous analysis
- Describe and fit the Rasch-Andrich rating scale model
- Account for partial credit
- Develop designs simple test linking and equating
Who Should Take This Course
Survey researchers, social scientists who use surveys or questionnaires in their work, education assessment analysts and managers.
Basic Concepts and Operations
- Winsteps software installation and operation
- Basic measurement and Rasch concepts
- Simple dichotomous analysis
- Constructing data files
Fit Analysis and Measurement Models
- Rasch-Andrich Rating Scale Model
- Quality-control fit statistics
Rating Scales, Reliability and Anchoring
- Partial Credit Model
- Category Description
- Standard errors and Reliability
DTF, DIF, and Dimensionality
- Differential Test Functioning
- Differential Item Functioning
- Investigating Dimensionality
Oct 11, 2019 to Nov 8, 2019
Jan 24, 2020 to Feb 21, 2020
May 22, 2020 to Jun 19, 2020
Oct 9, 2020 to Nov 6, 2019
No classes scheduled at this time.
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.
We recommended, but do not require as eligibility to enroll in this course, an understanding of the material covered in these following courses.
What Our Students Say
This has given me a great overview of Rasch and introduced me to Winsteps which I will use instead of Quest in the future. Thanks, the course was very useful and was very clear and well explained, especially for a beginner like me!
Frequently Asked Questions
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Class Start Dates: Feb 14, 2020
Class Start Dates: Aug 7, 2020
Class Start Dates: Jun 26, 2020, Jun 25, 2021
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.
This is a 4-week course requiring 10-15 hours per week of review and study, at times of your choosing.
Homework in this course consists of short answer questions to test concepts and an end of course measurement construction project.
Practice tasks are also provided to allow participants the opportunity to practice the concepts being taught with provided data sets.
In addition to assigned readings, this course also has supplemental readings available online.
All necessary study material is provided online by the instructor.
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.
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
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.
Contact us to get information on group rates.
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:
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.
There is no supplemental content for this course.
There is no additional information for this course.
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