Search results
Results From The WOW.Com Content Network
Criteria air contaminants, air pollutants that cause smog, acid rain, and other health hazards; Criterion validity, in psychometrics, a measure of how well one variable or set of variables predicts an outcome
[3] Criterion validity is typically assessed by comparison with a gold standard test. [4] An example of concurrent validity is a comparison of the scores of the CLEP College Algebra exam with course grades in college algebra to determine the degree to which scores on the CLEP are related to performance in a college algebra class. [5]
In epistemology, criteria of truth (or tests of truth) are standards and rules used to judge the accuracy of statements and claims. They are tools of verification, and as in the problem of the criterion, the reliability of these tools is disputed. Understanding a philosophy's criteria of truth is fundamental to a clear evaluation of that ...
Many, if not most, criterion-referenced tests involve a cutscore, where the examinee passes if their score exceeds the cutscore and fails if it does not (often called a mastery test). The criterion is not the cutscore; the criterion is the domain of subject matter that the test is designed to assess. For example, the criterion may be "Students ...
The Akaike information criterion was formulated by the statistician Hirotugu Akaike. It was originally named "an information criterion". [22] It was first announced in English by Akaike at a 1971 symposium; the proceedings of the symposium were published in 1973.
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).
Inclusion criteria may include factors such as type and stage of disease, the subject’s previous treatment history, age, sex, race, ethnicity. Exclusion criteria concern properties of the study sample, defining reasons for which patients from the target population are to be excluded from the current study sample. Typical exclusion criteria ...
This criterion maximizes the discrepancy between two proposed models at the design locations. [10] Other optimality-criteria are concerned with the variance of predictions: G-optimality A popular criterion is G-optimality, which seeks to minimize the maximum entry in the diagonal of the hat matrix X(X'X) −1 X'. This has the effect of ...