{"id":2275,"date":"2025-10-01T13:27:08","date_gmt":"2025-10-01T12:27:08","guid":{"rendered":"https:\/\/marriott-stats.com\/nigels-blog\/?p=2275"},"modified":"2026-04-14T20:40:37","modified_gmt":"2026-04-14T19:40:37","slug":"stats-training-materials-pay-gap-analytics","status":"publish","type":"post","link":"https:\/\/marriott-stats.com\/nigels-blog\/stats-training-materials-pay-gap-analytics\/","title":{"rendered":"Stats Training Materials – Pay Gap Analytics"},"content":{"rendered":"

*** Updated with links B16 and P9, P10 and P11 for 3 presentations I have given recently on gender & ethnicity pay gap reporting.\u00a0 I have also added new sections I & J**<\/span><\/em><\/p>\n

The 5 steps to closing a pay and\/or representation gap are –<\/p>\n

    \n
  1. Define<\/strong> what success looks like i.e. where you want to be in the future<\/li>\n
  2. Measure<\/strong> where you are today<\/li>\n
  3. Analyse<\/strong> your data to understand why you are where you are today & what the key drivers are of your gaps<\/li>\n
  4. Implement<\/strong> actions which move you from where you are today to put you on the path to where you want to be in the future<\/li>\n
  5. Control <\/strong>the key drivers to ensure you are on the right track<\/li>\n<\/ol>\n

    All steps require the use of statistical thinking and statistical methods.\u00a0 Other skills and processes are also needed but they cannot succeed on their own without the help of statistical thinking.<\/p>\n

    <\/p>\n

    My 1-day training course “Introduction to Pay Gap Analytics<\/a><\/em><\/strong>” will take you through the different topics you need to master to become better at progressing through the 5 steps.\u00a0 If you are attending my course, you will need to have this page open on your browser as you will be given a number of weblinks referring to posts listed here.<\/p>\n

    Each weblink has a letter denoting a section (list of sections given below) and a number denoting the specific post.<\/p>\n