Flexible, affordable statistics education.
Designed to help you master the software you need to enhance your skills and the practical experience you need to get ahead.
Designed to help you master the software you need to enhance your skills and the practical experience you need to get ahead.

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, output interpretation, fit analysis, differential item functioning, dimensionality and reporting.
Instructor(s):Survey researchers, social scientists who use surveys or questionnaires in their work, education assessment analysts and managers.
Dates: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. Please use this printed registration form, for these and other special orders.
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. Multiple course registrations may be entitled to tuition discounts; read more.
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, output interpretation, fit analysis, differential item functioning, dimensionality and reporting. Simple test linking and equating designs are addressed. Supporting theory is presented conceptually. Participants are encouraged to analyze their own datasets in parallel to the course datasets.
This course is a core requirement or elective in the following Program(s) in Advanced Statistical Studies (PASS):
Prerequisite(s):Participants should have a good grasp of (and comfort with) the material covered in Introduction to Statistics for Beginners, Introduction to Statistics 1: Inference for a Single Variable, and Introduction to Statistics 2: Working with Bivariate Data. This includes the normal distribution, t-tests and significance (based on group means and standard errors), and the chi-square distribution. An understanding of logarithms is also required, as is the ability to manipulate an Excel spreadsheet.
If you are not familiar with the basics of educational measurement and assessment, or would like a refresher, please consider taking Introduction to Assessment/Measurement in Education.
SESSION 1: Basic concepts and operations
This course takes place over the internet, at statistics.com 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.
The course typically requires 15 hours per week. 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 you will receive individual feedback on your homework answers.
As you begin the class, you will be asked to specify your category.
This course offers continuing education units (CEU's). For those successfully completing the course (generally this means marks of 50% or better on the homework), 5.0 CEU's and a record of course completion will be issued by Statistics.com, upon request.
All necessary study material is provided online by the instructor. Helpful additional study material can be found in the book Applying the Rasch Model, 2nd edition (Bond & Fox, 2007, Taylor & Francis/Lawrence Erlbaum Associates). The text can be ordered directly from the publisher, Taylor & Francis, by clicking here.
Software:The course will use a time-limited version of Winsteps software available when the course starts. Microsoft Excel is used extensively.