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The Bayley Scales of Infant and Toddler Development (version 4 was released September 2019) is a standard series of measurements originally developed by psychologist Nancy Bayley used primarily to assess the development of infants and toddlers, ages 1–42 months. [1] This measure consists of a series of developmental play tasks and takes ...
Criterion validity. In psychometrics, criterion validity, or criterion-related validity, is the extent to which an operationalization of a construct, such as a test, relates to, or predicts, a theoretically related behaviour or outcome — the criterion. [1][2] Criterion validity is often divided into concurrent and predictive validity based on ...
The Strong Interest Inventory (SII) is an interest inventory used in career assessment. [1][2] As such, career assessments may be used in career counseling. [2][3][4][5][6][7] The goal of this assessment is to give insight into a person's interests, so that they may have less difficulty in deciding on an appropriate career choice for themselves ...
Incremental validity. Incremental validity is a type of statistical validity that assesses whether a new psychometric assessment has more predictive ability than existing methods of assessment. [1] It seeks to determine whether the new assessment adds information that cannot be obtained with simpler, already existing methods.
Brazelton Neonatal Assessment Scale. The Neonatal Behavioral Assessment Scale (NBAS), also known as the Brazelton Neonatal Assessment Scale (BNAS), [1] was developed in 1973 by T. Berry Brazelton and his colleagues. [2] This test purports to provide an index of a newborn's abilities, and is usually given to an infant somewhere between the age ...
Uplift modelling, also known as incremental modelling, true lift modelling, or net modelling is a predictive modelling technique that directly models the incremental impact of a treatment (such as a direct marketing action) on an individual's behaviour. Uplift modelling has applications in customer relationship management for up-sell, cross ...
The Spearman–Brown prediction formula, also known as the Spearman–Brown prophecy formula, is a formula relating psychometric reliability to test length and used by psychometricians to predict the reliability of a test after changing the test length. [ 1 ] The method was published independently by Spearman (1910) and Brown (1910). [ 2 ][ 3 ]
In predictive analytics, a table of confusion (sometimes also called a confusion matrix) is a table with two rows and two columns that reports the number of true positives, false negatives, false positives, and true negatives. This allows more detailed analysis than simply observing the proportion of correct classifications (accuracy).