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  2. CliftonStrengths - Wikipedia

    en.wikipedia.org/wiki/CliftonStrengths

    CliftonStrengths (also known as StrengthsFinder) is an assessment developed by Don Clifton while he was chairman of Gallup, Inc. The company launched the test in 2001. [ 1 ] Test takers are presented with paired statements and select the option they identify with best, then receive a report outlining the five strength areas they scored highest ...

  3. Donald O. Clifton - Wikipedia

    en.wikipedia.org/wiki/Donald_O._Clifton

    Donald O. Clifton (February 5, 1924 – September 14, 2003) was an American psychologist, educator, author, researcher, and entrepreneur.He founded Selection Research, Inc., which later acquired Gallup Inc., where he became chairman, and developed CliftonStrengths, Gallup's online psychological assessment.

  4. Values in Action Inventory of Strengths - Wikipedia

    en.wikipedia.org/wiki/Values_in_Action_Inventory...

    Rather, the strengths were best represented by a one and four factor model. A one factor model would mean that the strengths are best accounted for by, “one overarching factor,” such as a global trait of character. [15]: 797 A four factor model more closely resembles the "Big Five" model of personality. The character strengths in the four ...

  5. 4. Qualifications and Experience

    images.huffingtonpost.com/2013-04-08-ERM_cut.pdf

    provides full-service NEPA 4. Qualifications and Experience Throughout the U.S., ERM support to private sector clients, federal agencies, and state

  6. Model-based testing - Wikipedia

    en.wikipedia.org/wiki/Model-based_testing

    Model-based testing is an application of model-based design for designing and optionally also executing artifacts to perform software testing or system testing. Models can be used to represent the desired behavior of a system under test (SUT), or to represent testing strategies and a test environment.

  7. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  8. Test automation - Wikipedia

    en.wikipedia.org/wiki/Test_automation

    General model-based testing setting Model-based testing is an application of model-based design for designing and optionally also executing artifacts to perform software testing or system testing. Models can be used to represent the desired behavior of a system under test (SUT), or to represent testing strategies and a test environment.

  9. very few teams have won it all - images.huffingtonpost.com

    images.huffingtonpost.com/2010-03-15-cheatsheet...

    This cheat sheet is the aftermath of hours upon hours of research on all of the teams in this year’s tournament field. I’ve listed each teams’ win and loss record, their against the