Plaintiff seeks to recover actual, compensatory, liquidated, and punitive damages for discrimination based upon discrimination concerning his disability. Plaintiff submits a request to the court for lost salary and benefits, future lost salary and benefits, and compensatory damages for emotional pain and suffering.
With Discriminatory Power In Collin
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State:
Multi-State
County:
Collin
Control #:
US-000286
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Word;
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The discrimination index was calculated using the formula D=(UG-LG) / n. The higher the discrimination index, the test item can discriminate better between students with higher test scores and those with lower test scores.
In statistical analysis, the ability of a scale to differentiate significantly between categorical scale responses. +2 -2.
In statistical analysis, the ability of a scale to differentiate significantly between categorical scale responses. +2 -2.
'Discriminative Power' refers to the ability of a model or method to capture the most distinctive traits of different populations or classes, such as brain networks in neuroscience research, by identifying the top discriminative features that separate them effectively.
In psychometrics, the degree to which a test yields different scores when applied to different criterion groups; specifically, the degree to which an item in an attitude scale, or the scale as a whole, yields different scores when it is applied to people holding different attitudes towards the attitude object in ...
Discriminatory power refers to the ability of PCR-RFLP analysis to distinguish between strains or species by amplifying regions of varying length and using enzymes that digest at different frequencies.
DISCRIMINATING POWER IS DEFINED AS THE PROBABILITY OF DISCRIMINATING TWO DISTINCT SAMPLES SELECTED AT RANDOM FROM THE POPULATION OF INTEREST. PROCEDURES ARE DESCRIBED WHICH ENABLE THE DISCRIMINATING POWER TO BE CALCULATED FOR A SERIES OF SAMPLE ATTRIBUTES.
A measure of the ability of a test to distinguish between two or more groups being assessed. in discriminant analysis, the degree of accuracy with which a set of predictor variables differentiates outcomes into categories.