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An outcome measure, endpoint, effect measure or measure of effect is a measure within medical practice or research, (primarily clinical trials) which is used to assess the effect, both positive and negative, of an intervention or treatment. [1] [2] Measures can often be quantified using effect sizes. [3]
Objectives and key results (OKR, alternatively OKRs) is a goal-setting framework used by individuals, teams, and organizations to define measurable goals and track their outcomes. The development of OKR is generally attributed to Andrew Grove who introduced the approach to Intel in the 1970s [ 1 ] and documented the framework in his 1983 book ...
This subversion has been the justification for repeated attempts to improve process and thus outcomes by reorganizing the structure of health care, wittily described by Oxman et al. [16] Donabedian himself cautioned that outcomes measurement cannot distinguish efficacy from effectiveness: (outcomes may be poor because the right treatment is ...
S.M.A.R.T. goals and objectives are key concepts in planning and project management. The acronym, while consistently used, applies differently to goals and objectives. Goals define the broad outcomes intended from a project or assignment, and objectives specify the actionable steps aimed at achieving these outcomes. [7]
Goodhart's law is an adage often stated as, "When a measure becomes a target, it ceases to be a good measure". [1] It is named after British economist Charles Goodhart, who is credited with expressing the core idea of the adage in a 1975 article on monetary policy in the United Kingdom: [2]
Clinical endpoints or clinical outcomes are outcome measures referring to occurrence of disease, symptom, sign or laboratory abnormality constituting a target outcome in clinical research trials. The term may also refer to any disease or sign that strongly motivates withdrawal of an individual or entity from the trial, then often termed a ...
In more intuitive terms, a member of is a possible outcome, a member of is a measurable subset of possible outcomes, the function gives the probability of each such measurable subset, represents the set of values that the random variable can take (such as the set of real numbers), and a member of is a "well-behaved" (measurable) subset of ...
Education outcomes can lead to a constrained nature of teaching and assessment. Assessing liberal outcomes such as creativity, respect for self and others, responsibility, and self-sufficiency, can become problematic. There is not a measurable, observable, or specific way to determine if a student has achieved these outcomes.