StatStuff is the only FREE source for complete Lean Six Sigma Training

  • Register
  • Login


The only FREE source for complete Lean Six Sigma training!

 

Analysis of Behavior & Cognition (ABC) Model

(10 votes)

A review of the ABC model that explores how we think so we can understand the risks and evidence behind our decisions and how to influence others.

© StatStuff, Inc., All Rights Reserved

9 comments

  • Comment Link Matt Hansen Jul 21, 2017 posted by Matt Hansen

    Sorry for the trouble you're having. I just tested the slides now and they're working fine in Chrome. If you continue to have troubles, I recommend trying a different browser, or ensuring that Adobe Flash Player is installed and updated in that browser. And also be sure that you are officially logged in; when you're logged in, it should say "Logout" at the top of each webpage.

  • Comment Link Sanober Shaikh Jul 20, 2017 posted by Sanober Shaikh

    I am not able to view slides even after login

  • Comment Link Jeffrey Johnston Jun 9, 2016 posted by Jeffrey Johnston

    Yes Matt, you got to love Psychology. It s the only discipline where you can get a Nobel prize without actually having to put numbers on your axes ... :-)

  • Comment Link Matt Hansen Jun 1, 2016 posted by Matt Hansen

    Thanks Jeffrey! I appreciate the feedback and suggestion. I actually hadn't heard of the Dunning-Kruger effect until you noted that. I looked into it and found it very interesting. It actually confirms what I thought all along and sometimes referred to as the "American Idol" effect (where some folks think they're great singers until Simon smacks them with cold reality). It's nice to see there's an actual study like this that more scientifically confirms it. Thanks!

  • Comment Link Jeffrey Johnston May 27, 2016 posted by Jeffrey Johnston

    Excellent video Matt. You might consider supplementing it with a discussion of the Dunning-Kruger effect.

  • Comment Link Matt Hansen Aug 31, 2015 posted by Matt Hansen

    Thanks Kais, I'm glad you liked it! I appreciate the feedback!

  • Comment Link Kais Blah Aug 28, 2015 posted by Kais Blah

    I like this very much. because it give room for persuasion skills, not only the ABC Model but considering the newest studies in gaining audience support, like Emotional and Social Intelligence and how to lead people towards successful acceptance of the change as they might be a lot of unconscious resistance. Thanks for sharing.

  • Comment Link Matt Hansen Apr 25, 2015 posted by Matt Hansen

    Thanks Eve, I appreciate the feedback and am so glad you like it!

  • Comment Link Eve Nsubuga Apr 25, 2015 posted by Eve Nsubuga

    Hej Matt,
    This is a very wonderful training! Matter of fact, it has opened up my mind about the way we make decisions as leaders! Outstanding performance,

    God bless you Matt

Login to post comments

Video List for Intermediate Path

Practical Ways to Apply Lean Six Sigma

Below are 36 videos (less than 10 hours of content) selected from the 121 videos in the Advanced Training Path. These videos go beyond the basics of Lean Six Sigma to help you apply the tools & concepts, but without getting as complex or detailed as the certification level in the Advanced Training Path.
1. StatStuff Orientation (What is StatStuff?)  
This video welcomes you to StatStuff by explaining some general concepts about how the videos are designed and how the site works.
2. Introduction to Lean and Six Sigma login not required 
An introduction to the fundamental concepts of the Lean and Six Sigma methodologies using the IPO model.
3. Lean and Six Sigma Project Methodologies login not required 
An introduction to five project methodologies (Lean, DMAIC, DMADV, DFSS & PMI) and when to use each.
4. Corporate CTQ Drilldown login not required 
A review of how to align a project opportunity to the overall business strategy and needs by understanding the business CTQs in a CTQ Drilldown.
5. Project Financial Benefits login not required 
A review of how to identify and categorize financial benefits from a project.
6. Prioritization Using a QFD Tool  
A review of how a Quality Functional Deployment (QFD) tool can be used to prioritize items, such as project opportunities.
7. Project Pre-Assessment Using a Min/Max Analysis login not required 
A review of why it’s important to do a project pre-assessment and how to do it using a Min/Max Analysis.
8. Key Roles in a Lean or Six Sigma Project login not required 
A review of the project and functional roles in Lean Six Sigma projects like Green Belt, Black Belt, Sponsor, Champion, etc.
9. Developing a Project Strategy Using IPO-FAT Tool login not required 
A review of how to build a strategy for a project and how the IPO-FAT tool can be used for developing that strategy.
10. Introduction to Lean  
An introduction to Lean including a brief history, the philosophy of Lean, and a summary of some common Lean tools and concepts.
11. Problem Resolution Using DMAIC  
A review of how the DMAIC methodology follows the typical steps we follow when trying to resolve a problem.
12. The DMAIC Roadmap (Levels 1 & 2) login not required 
A high-level roadmap through the DMAIC methodology that navigates the user through the various tools and concepts for leading a Six Sigma project.
13. Adapting Lean to Six Sigma DMAIC Flow login not required 
A description of how the Lean tools and concepts can be adapted to the Six Sigma DMAIC methodology.
14. Define Phase Roadmap (Level 3)  
A detailed roadmap through the Define phase of the DMAIC methodology that navigates the user through the various tools and concepts for leading a Six Sigma project.
15. Measure Phase Roadmap (Level 3)  
A detailed roadmap through the Measure phase of the DMAIC methodology that navigates the user through the various tools and concepts for leading a Six Sigma project.
16. Analyze Phase Roadmap (Level 3)  
A detailed roadmap through the Analyze phase of the DMAIC methodology that navigates the user through the various tools and concepts for leading a Six Sigma project.
17. Improve Phase Roadmap (Level 3)  
A detailed roadmap through the Improve phase of the DMAIC methodology that navigates the user through the various tools and concepts for leading a Six Sigma project.
18. Control Phase Roadmap (Level 3)  
A detailed roadmap through the Control phase of the DMAIC methodology that navigates the user through the various tools and concepts for leading a Six Sigma project.
19. Risk Analysis: The Reason We Use Statistics login not required 
A review of the importance of risk in our decision-making and how statistics can be used to measure that risk.
20. Analysis of Behavior & Cognition (ABC) Model  
A review of the ABC model that explores how we think so we can understand the risks and evidence behind our decisions and how to influence others.
21. Transfer Function login not required 
A review of the transfer function and the critical part it plays as a fundamental concept in the DMAIC methodology.
22. Hypothesis Testing: Overview login not required 
An introductory overview to an extended series about hypothesis testing. This lesson includes the general 4 step process used for hypothesis testing.
23. Overview of Statistical Terms and Concepts login not required 
A high-level review of the fundamental terms and concepts associated with statistics, such as population vs. sample data, distributions, etc.
24. Building a Problem Statement login not required 
A review of what a problem statement and background statement are and the characteristics of an ideal problem statement.
25. Defining the Project Y login not required 
A review of why we need to define a project Y and some methods for ensuring we’re defining the right project Y.
26. Identify Root Causes: C&E Diagram login not required 
An extension of the topic on identifying root causes using a cause & effect (C&E) diagram that will lead toward building a data collection plan (DCP).
27. Identify Root Causes: 5 Whys login not required 
An extension of the topic on identifying root causes using a 5 Whys approach that will lead toward building a data collection plan (DCP).
28. Identify Root Causes: C&E Matrix login not required 
An extension of the topic on identifying root causes by showing how the C&E Matrix is used after a C&E diagram and 5 Whys for building a DCP.
29. MSA: Overview login not required 
The first of an extended series on conducting a measurement system analysis (MSA) to help test the reliability of collected data.
30. Calculating a Sample Size login not required 
A review of how to calculate a sample size using a Sample Size Calculator.
31. Variation Over Time (Short/Long Term Data) login not required 
A review of short and long term data and the impacts that variation has over time.
32. Hypothesis Testing: Finding the Right Statistical Test login not required 
An extension on a series about hypothesis testing, this lesson reviews a chart that can help you find the right statistical test for your analysis.
33. Hypothesis Testing: Statistical Laws and Confidence Intervals login not required 
An extension on a series about hypothesis testing, this lesson introduces some statistical concepts that are fundamental to most hypothesis testing.
34. Hypothesis Testing: Proportions (Compare 1:1) login not required 
An extension on a series about hypothesis testing, this lesson reviews the 2 Proportions Test as a measurement of proportions.
35. Hypothesis Testing: Relationships (Overview) login not required 
An extension on hypothesis testing, this lesson introduces the concepts of a correlation and regression as part of measuring statistical relationships.
36. Hypothesis Testing: Relationships (Compare 1:1) login not required 
An extension on hypothesis testing, this lesson reviews the Pearson Correlation and Fitted Line Plot as part of measuring statistical relationships.

Search the Dictionary of Lean Six Sigma Tools/Concepts

Search for dictionary terms (regular expression allowed)
Begin with Contains Exact termSounds like

Stop taking notes! Instead of wasting time taking notes, get the book with the complete LSS training content.

Learn how StatStuff can lean your LSS training program