criterion variable

Criterion validity evidence involves the correlation between the test and a criterion variable (or variables) taken as representative of the construct.

Three logistic regressions were conducted in which the oesophageal mucosal status was a dichotomous criterion variable.

The unstandardised slope indicates the unit change in the criterion variable for a one unit change in the predictor.

Discriminant analysis is also different from factor analysis in that it is not an interdependence technique: a distinction between independent variables and dependent variables (also called criterion variables) must be made.

Regression analysis quantifies a relationship between a predictor variable and a criterion variable by the coefficient of correlation r, coefficient of determination r2, and the standard regression coefficient β.

William J. Matthews writes that part of The Bell Curves analysis is based on the AFQT "which is not an IQ test but designed to predict performance of certain criterion variables".

For example, they isolate one or a few indices from a figure drawing rating scale, taken completely out of context, and then attempt to correlate these indices with measure they view as excellent criterion variables, such as self-report inventories."

Canonical variate analysis captures a relationship between a set of predictor variables and a set of criterion variables by the canonical correlations ρ, ρ, ..., and by the sets of canonical weights C and D.

The Big Five, or Five Factor Model of normal personality, has gained acceptance since the early 1990s when some influential meta-analyses (e.g., Barrick & Mount 1991) found consistent relationships between the Big Five personality factors and important criterion variables.

A smooth curve through a set of data points obtained with this statistical technique is called a Loess Curve, particularly when each smoothed value is given by a weighted quadratic least squares regression over the span of values of the y-axis scattergram criterion variable.