Measurement System Analysis (MSA) for Beginners – Online

  • Delivery Option: Online
  • Subject Category: Core Tools
  • Cost: $159
  • Number of Days: 180 days

Course Summary

Measurement Systems Analysis (MSA) is a method to understand the error associated with measurement systems and their impact on making correct decisions. The knowledge gained in this course can be used to setup or audit a MSA program or instrument laboratory. Knowledge gained can be used to improve decision making regarding test or inspection equipment.

This is a beginner course that provides basic, easy-to-understand technical information needed to address ISO/TS 16949, laboratory, and quality system standard requirements. The course starts with describing measurement error and then guides you in a step-by-step manner to conduct or evaluate your own Bias, Linearity and Stability studies. The course ends with how you can determine your gauge R&R (repeatability and reproducibility). You will be able to gage the extent of variation and the source of variation. The course includes examples of Linearity, Bias, Stability studies and tools such as an Excel spreadsheet to record and determine Gauge R&R for attribute and variables data. The course consists of a series of lessons, illustrations, diagrams, interactive exercises, and quizzes. Job aids include a printable desk reference with all the course text information.

Successful completion of the course will result in a certificate for seven contact hours (0.7 CEUs). The subscription period for the course is 180 days plus a free 30-day subscription extension upon request if needed.


“We haven’t completed the training yet, but so far I am very pleased. This appears to be just what we are looking for.”

-Quality Manager, Ohio

Course Objectives

Upon the completion of this course, you will be able to:

  • Explain measurement concepts and fundamental analysis
  • Analyze variation error in measurement results
  • Perform Bias, Linearity and Stability studies
  • Perform GR&R studies
  • Apply techniques to attribute and variables data

Technical Requirements

  • Intel Pentium processor/compatible
  • 800×600 resolution color monitor
  • 1 GB of RAM recommended
  • Access to the internet, high speed preferred but not required
  • A browser such as Google Chrome, Internet Explorer, or Mozilla Firefox
  • Acrobat Reader (free plug-in)
  • Adobe Flash/Shockwave Player (free plug-in)
  • Java script