Tabtrainer Minitab: Attribute Agreement Analysis – Good/Bad

Tabtrainer Minitab: Attribute Agreement Analysis – Good/Bad
Published 5/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

What you’ll learn

Understand the difference between nominal, ordinal, and cardinal scale levels and their impact on measurement system analysis

Set up a complete attribute agreement study based on real-world manufacturing examples

Create structured measurement protocols for "GOOD/BAD" evaluations in production environments

Perform attribute agreement analysis and assess appraiser consistency (repeatability and reproducibility)

Calculate and interpret Cohen’s anIdentify decision biases among appraisers and their effects on product qud Fleiss’s kappa statistics for appraiser evaluations

Analyze agreement rates between appraisers and compare them against customer standards

Derive practical action recommendations to improve appraiser training and measurement system capability
Achieve AIAG-compliant kappa values and build robust, reliable attribute measurement systems

Requirements

No Specific Prior Knowledge Needed: all topics are explained in a practical step-by-step manner.

Description

Overview

Lecture 1 Explore the curriculum

Lecture 2 Business Case: Control and Quality Assurance in Final Visual Inspection

Lecture 3 Understanding Scale Levels: Nominal, Ordinal, and Cardinal Data

Lecture 4 Correctly choose a measurement system analysis method based on the type of data

Lecture 5 Attribute Agreement Analysis in Practice: Repeatability and Reproducibility

Lecture 6 Set up a complete Attribute Agreement Analysis

Lecture 7 Attribute Agreement Analysis: First Results

Lecture 8 Understand the concept of Fleiss’s kappa and Cohen’s kappa

Lecture 9 Manual Derivation and Interpretation of the Kappa Value

Lecture 10 Analyzing Repeatability with Fleiss’s Kappa and Hypothesis Testing

Lecture 11 Evaluating Appraiser Accuracy Against Customer Standards

Lecture 12 Identifying Appraiser Decision Biases Using Assessment Disagreement Analysis

Lecture 13 Evaluating Appraiser Capability Using Kappa Values Against AIAG Standards

Lecture 14 Evaluating Inter-Appraiser Agreement and Team Comparison Precision

Lecture 15 Visualizing Appraiser Performance: Agreement Rates and Confidence Intervals

Lecture 16 Final Summary of Attribute Agreement Analysis: Good/Bad Evaluation

Quality Assurance Professionals: Those responsible for monitoring production processes and ensuring product quality will gain practical tools for defect analysis.,Production Managers: Managers overseeing manufacturing operations will benefit from learning how to identify and address quality issues effectively.,Six Sigma Practitioners: Professionals looking to enhance their expertise in statistical tools for process optimization and decision-making.,Engineers and Analysts: Individuals in manufacturing or technical roles seeking to apply statistical methods to real-world challenges in production.,Business Decision-Makers: Executives and leaders aiming to balance quality, cost, and efficiency in production through data-driven insights and strategies.