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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. 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 ...

  4. Performance domain - Wikipedia

    en.wikipedia.org/wiki/Performance_domain

    A performance domain is a construct of all the essential behaviors that should be exhibited by someone on a specific job to achieve the goals set by the organization. [ 1 ] It is determined by the judgments of the decision-makers of the organization after they have conducted a thorough job analysis .

  5. Work domain analysis - Wikipedia

    en.wikipedia.org/wiki/Work_domain_analysis

    The domain values level of the hierarchy is used to capture the key values that can be used to assess how well the work system is performing its domain purpose(s). These values are likely to be conflicting. The middle layer of hierarchy lists the functions that can be performed by the combined work system. These functions are expressed in terms ...

  6. 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]

  7. Canadian model of occupational performance and engagement

    en.wikipedia.org/wiki/Canadian_model_of...

    The model’s national development is a unique feature and so CMOP does not reflect the views of any one individual. However while some assume the model has no cultural bias and adaptation has been encouraged, little research has been conducted into the efficacy of its application in non western societies. [10] [11] [12]

  8. Domain model - Wikipedia

    en.wikipedia.org/wiki/Domain_model

    Sample domain model for a health insurance plan. In software engineering, a domain model is a conceptual model of the domain that incorporates both behavior and data. [1] [2] In ontology engineering, a domain model is a formal representation of a knowledge domain with concepts, roles, datatypes, individuals, and rules, typically grounded in a description logic.

  9. Domain-general learning - Wikipedia

    en.wikipedia.org/wiki/Domain-general_learning

    For example, researchers believe that with maturation, one is able to hold more complex structures in their working memory, which results in an increase of possible computations that underlie inference and learning. [7] Thus, working memory can be viewed as a domain-general mechanism that aids development across many different domains.