Four common uses for criterion-referenced tests (CRT) are outlined: describing student achievement, improving curriculum development, being sensitive indicators of the effects of instruction, and facilitating classroom management decisions. These uses parallel various forms of empirically establishing the content, concurrent, and predictive…

The need for better validation of professional licensing and certification examinations is discussed in Part I. Predictive criterion-related validation studies are difficult to develop, time consuming, impractical and expensive. Since training and knowledge variables are not necessarily sufficient to predict job proficiency, it appears logical to…

The effectiveness of a model for determining a minimal cut-off score for criterion-referenced tests was examined. The model, based upon techniques presented originally by Nedelsky and by Angoff, was first used in conjunction with a multiple choice test developed for use in certifying school counselors in Georgia. A "knowledge estimation panel" was…

The use of tests in personnel decisions has become an increasing legal liability for employers. The major questions raised by the courts concerning this use of tests are described. Current federal guidelines for performance appraisal systems, as established by the Equal Employment Opportunity Commission, are explained and traced to Title VII of…

A central problem for the user of domain-referenced tests in instruction is deciding who has passed and who has failed. Two procedures were presented and discussed. The first, employing classical test theory, was found to be more useful for larger domains and where the passing standard is 70 percent or less. The sampling procedure suggested by…

The sequential probability ratio test (SPRT), developed by Abraham Wald, is one statistical model available for making mastery decisions during computer-based criterion referenced tests. The predictive validity of the SPRT was empirically investigated with two different and relatively large item pools with heterogeneous item parameters. Graduate…