Rasch - Core

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Practical Rasch Measurement - Core Topics

taught by Everett Smith

Aim of Course:

Rasch analysis constructs linear measures from scored observations, such as responses to multiple-choice questions, Likert scales and quality-of-life assessments. This online course, "Practical Rasch Measurement - Core Topics" covers the practical aspects of data setup, analysis, output interpretation, fit analysis, differential item functioning, dimensionality and reporting. Simple test linking and equating designs are addressed. Supporting theory is presented conceptually.

This course may be taken individually (one-off) or as part of a certificate program.

Course Program:

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


HOMEWORK:

Homework in this course consists of short answer questions to test concepts and end of course project.

In addition to assigned readings, this course also has supplemental readings available online, and an end of course data modeling project.


Practical Rasch Measurement - Core Topics

Who Should Take This Course:

Survey researchers, social scientists who use surveys or questionnaires in their work, education assessment analysts and managers.

Level:

Intermediate

Prerequisite:
You should be familiar with introductory statistics.  Try these self tests to check your knowledge.


Organization of the 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.

Time Requirement:
About 15 hours per week, at times of  your choosing.

Credit:
Students come to the Institute for a variety of reasons. As you begin the course, you will be asked to specify your category:

  1. You may be interested only in learning the material presented, and not be concerned with grades or a record of completion.
  2. You may be enrolled in PASS (Programs in Analytics and Statistical Studies) that requires demonstration of proficiency in the subject, in which case your work will be assessed for a grade.
  3. You may require a "Record of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's).  For those successfully completing the course,  CEU's and a record of course completion will be issued by The Institute, upon request.


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.


Practical Rasch Measurement - Core Topics

Instructor(s):
Dates:
May 26, 2017 to June 23, 2017October 13, 2017 to November 10, 2017January 05, 2018 to February 02, 2018May 25, 2018 to June 22, 2018October 12, 2018 to November 09, 2018

Course Fee: $589