University of Colorado Boulder

Measurement Systems Analysis

This course is part of Data Science Methods for Quality Improvement Specialization

Taught in English

Wendy Martin

Instructor: Wendy Martin

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

Intermediate level

Recommended experience

16 hours (approximately)
Flexible schedule
Learn at your own pace
Progress towards a degree

What you'll learn

  • Understand the terms and concepts associated with measurement systems analysis

  • Analyze measurement error to determine the potential capability of a measurement system

  • Analyze measurement error to determine the short-term and long-term capability of a measurement system

  • Analyze a measurement system for discrete data using potential, short-term, and long-term studies

Details to know

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Assessments

7 quizzes

Course

Gain insight into a topic and learn the fundamentals

Intermediate level

Recommended experience

16 hours (approximately)
Flexible schedule
Learn at your own pace
Progress towards a degree

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This course is part of the Data Science Methods for Quality Improvement Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 5 modules in this course

In this module, we will learn to identify, characterize and analyze relationships between two variables. We will first learn about correlation between two continuous variables and tests for significance. Next, we will learn about correlation for ordinal variables, and association for one nominal and one continuous variable. Finally, we will learn to assess relationship for two nominal variables.

What's included

9 videos2 readings1 quiz2 discussion prompts

In this module, we will perform an Analysis of Variance for Fixed and Random Effects for a single factor and interpret results. We will first examine within versus between-group variation, and interpret the ANOVA source table. We will learn how to perform the ANOVA with Fixed Effects for means and dispersion, considering normality and equal/unequal variance. We'll create data visualizations of results, calculate statistical importance and perform post hoc analysis. Finally, we'll perform the ANOVA with Random Effects.

What's included

15 videos2 quizzes1 discussion prompt

In this module, we will understand the terms and concepts associated with measurement systems analysis and analyze measurement error to determine the potential capability of a measurement system. We will explore the guidelines for measurement systems analyses and the equations for measurement error and capability. We will then calculate the sources of variation from the ANOVA determine the largest sources of variation, and determine capability in comparison to both process variation and specification tolerance. Finally, we'll create data visualizations, and interpret the results of the analysis.

What's included

11 videos1 quiz1 discussion prompt

In this module, we will analyze measurement error to determine the short and long-term capability of a measurement system. We will build on what we have learned in the previous module, adding the evaluation of the underlying assumptions of normality, independence of part size/magnitude and measurement error, and stability of measurement error. We'll perform an ANOVA to determine sources of variation along with the determination of gauge discrimination. Finally, we'll create data visualizations, and interpret the results of the analysis.

What's included

7 videos2 quizzes1 discussion prompt

In this module, we will analyze a discrete measurement system to determine agreement, consistency, and validity. We will first familiarize ourselves with the terms, definitions, and procedures associated with Discrete Measurement Systems Analysis. Next, we will explore the measurement of agreement using the Kappa statistic and the measure of disagreement using the test of symmetry. We will then learn to perform analyses for concordance with two appraisers and two categories, two appraisers more than two categories, and more than two appraisers. We will analyze appraisers for internal consistency. Finally, we'll assess validity (concordance with a standard).

What's included

14 videos1 quiz1 discussion prompt

Instructor

Wendy Martin
University of Colorado Boulder
6 Courses6,559 learners

Offered by

Recommended if you're interested in Probability and Statistics

Get a head start on your degree

This course is part of the following degree programs offered by University of Colorado Boulder. If you are admitted and enroll, your coursework can count toward your degree learning and your progress can transfer with you.

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