Rasch Measurement – Further Topics
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 test functioning and test equating with a goal of successfully analyzing data and communicating their findings to decision makers.
- Deal with missing data
- Calculate correlations 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 Test Functioning
- Differential Item Functioning
- Test equating: separate and concurrent
- Prettifying output
- Skill: Intermediate, Advanced
- Credit Options: CEU
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About 15 hours per week, at times of your choosing.
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.
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.
Literacy, Accessibility, and Dyslexia
At Statistics.com, we aim to provide a learning environment suitable for everyone. To help you get the most out of your learning experience, we have researched and tested several assistance tools. For students with dyslexia, colorblindness, or reading difficulties, we recommend the following web browser add-ons and extensions:
- Color Enhancer (for colorblindness)
- HelperBird (for colorblindness, dyslexia, and reading difficulties)
- Mobile Dyslexic
- Color Vision Simulation (native accessibility feature)
- Other native accessibility features instructions