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  • THE OPEN QUESTION on the forum right now is on Shainin Red X MethodologyThis is part of our TWO QUESTIONS PER WEEK initiative. One question is launched on Tuesday and the other on Friday, both at 5 PM IST. Best answers are recognized well on this most active Lean Six Sigma forum. (Benchmark Six Sigma Forum ranks first on Google Search based on popularity) 

     

    The most recent answered question along with the best response(s) can be seen here - Cohen's Kappa vs Fleiss KappaAll questions can be seen here. The entire Dictionary of Business Excellence terms is here.

     

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    Here is the complete list of all time Lean Six Sigma Green Belt Top Scorers

  • ALL TIME BB TOP SCORERS

     

    Name

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    Kunal Obhrai

    98

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    Here is the complete list of all time Lean Six Sigma Black Belt Top Scorers

  • Posts

    • Fleiss’s Kappa and Cohen’s kappa both are used for checking agreements within and between appraisers. While Kappa value can be calculated for any number of appraiser and trial numbers, Cohen's kappa can only be calculated under some specific conditions (e.g. only 2 raters). Also the assumption with Cohen’s kappa is that the appraisers are deliberately chosen and fixed, while with Fleiss’ kappa, the appraisers are chosen at random from a larger pool.   The best answer has been provided by Anupam Goswami.
    • Q 537. What is Shainin Red X Methodology? Compare it with Six Sigma and highlight its pros and cons.   Note for website visitors - Two questions are asked every week on this platform. One on Tuesday and the other on Friday.  All questions so far can be seen here - https://www.benchmarksixsigma.com/forum/lean-six-sigma-business-excellence-questions/ Please visit the forum home page at https://www.benchmarksixsigma.com/forum/ to respond to the latest question open till the next Tuesday/ Friday evening 5 PM as per Indian Standard Time. Questions launched on Tuesdays are open till Friday and questions launched on Friday are open till Tuesday. When you respond to this question, your answer will not be visible till it is reviewed. Only non-plagiarised (plagiarism below 5-10%) responses will be approved. If you have doubts about plagiarism, please check your answer with a plagiarism checker tool like https://smallseotools.com/plagiarism-checker/ before submitting.  The best answer is always shown at the top among responses and the author finds honorable mention in our Business Excellence dictionary at https://www.benchmarksixsigma.com/forum/business-excellence-dictionary-glossary/ along with the related term
    • Cohen Kappa Is an inter observer correlation measurement for a single factor with more than one observer evaluation. It is used to provide the user with calculable benchmark of the degree of agreements vis-à-vis all observers. As such, it is used to know how recurrent there is agreement in the observer’s interpretation. In a normal scenario where a yes/no answer is involved, the outcome is weak as it does account for chance. This is why Kappa which take into consideration the removal of chance to be much more preferable as a measurable statistical tool.   Results of Kappa can range from -1 to 1. A Kappa 0 indicates that the agreed results are equal while expecting a chance. When Kappa value is 1, the agreed results are perfect. When Kappa is less than zero, the agreed result are less weighted with respect to chance. A good Kappa result can range  from 0.75 to 0.90.   Fleiss Kappa is a mathematically derived statistic to know how reliable is an agreement in relation to constant number of observers. It is relevant when observers label a rating when the items are classified or to the amount of ratings. Fleiss Kappa is a Fleiss Kappa for greater than 2 people who rates the agreements. However compared to Cohen Kappa, Fleiss Kappa are random people who are selected for rating an agreement while in Cohen Kappa, those who rate are known and fixed.   A researcher will obviously look for Cohen Kappa when the values classified are of nominal order that is there is the results as no, bad, false, true, good, yes, crispy or nor crispy etc. however for ordinal values, a researcher will take Kendall coefficient into account.
    • Fleiss' Kappa Cohen's Kappa This is a way to measure agreement between 3 or more raters. Used for nominal data (e.g. likert scale). Therefore this measures agreement between 3 or more dependent categorical samples Similar to Fleiss’s Kappa This is a way to measure inter rater reliability but for below scenarios: -          2 raters rate same trial once each or -          1 rater rates 2 trials (measures agreement of new method with old or over time), Can be used for any number of raters Can be used for only 2 raters Allows for scenario where each rater is rating different items also Only works for scenario where raters are rating identical items Assumption includes that raters are chosen independently from larger set Assumption includes that raters are chosen deliberately and are fixed Scenarios for use: 5 raters randomly picked from a pool asked to give pass/fail by picking samples randomly from pool (e.g. destructive tests) Scenarios for use: 2 raters asked to give pass/fail for 20 interview candidates Have 2 machines for measuring pass/fail of an item’s attribute   Condition of random sampling among raters means this is not suitable if all raters are reqd to rate all samples Conversely not suitable if all samples cant be rated because of cost of test or if its destructive in nature
    • Cohen's kappa is used for two raters considering same items will be rated by both raters while  Fleiss Kappa used for multiple raters with a possibility of rating different items  example: when in a study no of raters will be two and all the raters will rate for all the data points or observations like taste score (good , bad , neutral) then we can use Cohen's kappa      
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