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  2. Montreal Cognitive Assessment - Wikipedia

    en.wikipedia.org/wiki/Montreal_Cognitive_Assessment

    The Montreal Cognitive Assessment (MoCA) is a widely used screening assessment for detecting cognitive impairment. [1] It was created in 1996 by Ziad Nasreddine in Montreal, Quebec. It was validated in the setting of mild cognitive impairment (MCI), and has subsequently been adopted in numerous other clinical settings. This test consists of 30 ...

  3. Multiple correspondence analysis - Wikipedia

    en.wikipedia.org/wiki/Multiple_correspondence...

    MCA is performed by applying the CA algorithm to either an indicator matrix (also called complete disjunctive table – CDT) or a Burt table formed from these variables. [citation needed] An indicator matrix is an individuals × variables matrix, where the rows represent individuals and the columns are dummy variables representing categories of the variables. [1]

  4. Multiple-criteria decision analysis - Wikipedia

    en.wikipedia.org/wiki/Multiple-criteria_decision...

    In this example a company should prefer product B's risk and payoffs under realistic risk preference coefficients. Multiple-criteria decision-making (MCDM) or multiple-criteria decision analysis (MCDA) is a sub-discipline of operations research that explicitly evaluates multiple conflicting criteria in decision making (both in daily life and in settings such as business, government and medicine).

  5. Control self-assessment - Wikipedia

    en.wikipedia.org/wiki/Control_self-assessment

    Some researchers have criticised control self-assessment as a flawed approach as the way risk is defined and measured is unsophisticated. In particular, control self-assessment may understate risk by not identifying extreme downside risk. An extreme downside risk is a highly improbable event that would have catastrophic consequences if it occurred.

  6. Factor analysis of mixed data - Wikipedia

    en.wikipedia.org/wiki/Factor_analysis_of_mixed_data

    When data include both types of variables but the active variables being homogeneous, PCA or MCA can be used. Indeed, it is easy to include supplementary quantitative variables in MCA by the correlation coefficients between the variables and factors on individuals (a factor on individuals is the vector gathering the coordinates of individuals on a factorial axis); the representation obtained ...

  7. Mental capacity in England and Wales - Wikipedia

    en.wikipedia.org/wiki/Mental_capacity_in_England...

    A diagnosis of (for example) dementia, or a learning difficulty, does not necessarily mean the person lacks capacity. A mental capacity assessment should take place when there is an impairment of, or disturbance in the functioning of a person's mind or brain and a decision that needs to be made.

  8. Lexile - Wikipedia

    en.wikipedia.org/wiki/Lexile

    Kansas State Assessments of Reading; Kentucky Core Curriculum Test (KCCT) Minnesota Comprehensive Assessments (MCA) New Mexico Standards-Based Assessment (SBA) North Carolina End-of-Grade and English I End-of-Course (NCEOG and NCEOC) Oklahoma Core Curriculum Test (OCCT) Oregon Assessment of Knowledge and Skills (OAKS)

  9. Weighted sum model - Wikipedia

    en.wikipedia.org/wiki/Weighted_Sum_Model

    In decision theory, the weighted sum model (WSM), [1] [2] also called weighted linear combination (WLC) [3] or simple additive weighting (SAW), [4] is the best known and simplest multi-criteria decision analysis (MCDA) / multi-criteria decision making method for evaluating a number of alternatives in terms of a number of decision criteria.