Rasch Measurement – Core Topics
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.
Overview
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.
- Intermediate
- 4 Weeks
- Expert Instructor
- Tuiton-Back Guarantee
- 100% Online
- TA Support
Learning Outcomes
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.
Our Instructors
Course Syllabus
Week 1
Basic Concepts and Operations
- Winsteps software installation and operation
- Basic measurement and Rasch concepts
- Simple dichotomous analysis
- Constructing data files
Week 2
Fit Analysis and Measurement Models
- Rasch-Andrich Rating Scale Model
- Quality-control fit statistics
- Scalograms
Week 3
Rating Scales, Reliability and Anchoring
- Partial Credit Model
- Category Description
- Standard errors and Reliability
- Anchoring
Week 4
DTF, DIF, and Dimensionality
- Differential Test Functioning
- Differential Item Functioning
- Investigating Dimensionality
Class Dates
2022
Instructors:
Instructors:
2023
Instructors:
Instructors:
Instructors:
Prerequisites
Private: Statistics 1 – Probability and Study Design
- Skill: Intermediate
- Credit Options: CEU
Private: Statistics 2 – Inference and Association
- Skill: Intermediate
- Credit Options: CEU
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Additional Information
Homework
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.
Course Text
All necessary study material is provided online by the instructor.
Software
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.
Supplemental Information
Literacy, Accessibility, and Dyslexia
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