This course builds on previous knowledge of Rasch theory and the Winsteps software program. It focuses on teaching students to not only analyze data, but present it in a clear and powerful way. Students will learn how to screen data and make judicious data selection and editing decisions. Previous experience using Winsteps and Excel is recommended.
Rasch Measurement – Further Topics
This course will teach you how to Rasch theory and its application in the Winsteps software begun in Practical Rasch Measurement-Core Topics. The visual step-by-step tutorial propels you along the road to success. This course introduces exciting new topics and delves into earlier topics more deeply.
This course will teach you Rasch theory and its application in the Winsteps software begun in Practical Rasch Measurement-Core Topics. This course introduces exciting new topics and delves into earlier topics more deeply.
At the conclusion of this course students will be able to import data from SPSS, SAS, Stata and Excel, install and operate Winsteps software, and analyze dichotomous and polytomous data. They will investigate text functioning and test equating with a goal of successfully analyzing data and communicating their findings to decision makers.
- Deal with missing data
- Calculate orrelations and local fit-statistics
- Estimate polytomous models
- Deal with differential item functioning
- Perform test equating
Who Should Take This Course
Survey researchers, social scientists who use surveys or questionnaires in their work, education assessment analysts and managers.
Analysis of Dichotomous Data
- Winsteps software installation and operation
- Analysis with missing data
- Correlations and local fit-statistics
- Item-person maps
- Estimating measures from dichotomous data
Analysis of Polytomous Data
- Importing data from SPSS, SAS, Stata, Excel and more
- Rescoring data
- Polytomous models
- Polytomous estimation
- Average measures and category thresholds
Investigating Text Functioning
- Differential Item Functioning
- Test equating: separate and concurrent
- Prettifying output
Jun 26, 2020 to Jul 24, 2020
Jun 25, 2021 to Jul 23, 2021
No classes scheduled at this time.
The courses listed below are prerequisites for enrollment in this course:
Class Start Dates: May 22, 2020, Oct 9, 2020
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Class Start Dates: Aug 14, 2020, Feb 12, 2021, Aug 13, 2021
Class Start Dates: Aug 7, 2020
Class Start Dates: May 22, 2020, Oct 9, 2020
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.
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.
All necessary study material is provided online by the instructor. Helpful additional study material can be found in the book Introduction to Rasch Measurement (Smith & Smith, Eds., 2004, JAM Press). The text can be ordered directly from the publisher, JAM Press.
Please order a copy of your course textbook prior to course start date.
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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