METRICS (Methods for Equating, Testing, Regression, Item response theory, Classification, and Scoring) is a web-based environment for statistical and psychometric computing. This application includes an array of methods useful for psychometric analysis, interactive visual displays, and regression models using observed data impacted by measurement error.

METRICS provides a large set of tools for data analysis in one place. METRICS includes an engine for IRT test scoring, six different test equating models, powerful, interactive visual displays, error-in-variable regression models including linear, mixed linear, and direct estimation regression using marginal maximum likelihood.

METRICS is built entirely with R functions and uses parallel processing to improve computational speed. This means that large data problems can be handled quickly and efficiently. Scoring thousands of tests can be done in minutes as opposed to hours!

METRICS implements unique statistical models not available in any other software program. For example, the regression features allow users to run models that account for measurement error in the conditioning variables. Furthermore, the direct estimation methods can yield population estimates when the dependent variable is only partially measured.

METRICS is a fully developed web application, so it requires no programming or installation of any software even though it uses R in the background. This means you can access METRICS from any location with internet access and simply use the point and click features available in the web browser to analyze your data.