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Rasch Measurement – Core Topics

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.

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

2024

01/19/2024 to 02/23/2024
Instructors: Dr. Everett V. Smith, Jr
05/17/2024 to 06/21/2024
Instructors: Dr. Everett V. Smith, Jr
10/04/2024 to 11/08/2024
Instructors: Dr. Everett V. Smith, Jr

2025

01/17/2025 to 02/21/2025
Instructors: Dr. Everett V. Smith, Jr
05/16/2025 to 06/20/2025
Instructors: Dr. Everett V. Smith, Jr
10/03/2025 to 11/07/2025
Instructors: Dr. Everett V. Smith, Jr

Prerequisites

Private: Statistics 1 – Probability and Study Design

This course, the first of a three-course sequence, provides an introduction to statistics for those with little or no prior exposure to basic probability and statistics.
  • Skill: Intermediate
  • Credit Options: CEU

Private: Statistics 2 – Inference and Association

This course, the second of a three-course sequence, will teach you the use of inference and association through a series of practical applications, based on the resampling/simulation approach, and how to test hypotheses, compute confidence intervals regarding proportions or means, computer correlations, and use of simple linear regressions.
  • Skill: Intermediate
  • Credit Options: CEU
Karolis Urbonas
Susan Kamp
Stephen McAllister
Amir Aminimanizani
Elena Rose
Leonardo Nagata
Richard Jackson

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Rasch Measurement – Core Topics

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

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:

 

Chrome

 

Firefox

 

Safari

  • Navidys (for colorblindness, dyslexia, and reading difficulties)
  • HelperBird for Safari (for colorblindness, dyslexia, and reading difficulties)

Register For This Course

Rasch Measurement – Core Topics