This article proposes that sampling design effects have potentially huge unrecognized impacts on the results reported by large-scale district and state assessments in the United States. When design effects are unrecognized and unaccounted for they lead to underestimating the sampling error in item and test statistics. Underestimating the sampling…

In large-scale assessments, such as state-wide testing programs, national sample-based assessments, and international comparative studies, there are many steps involved in the measurement and reporting of student achievement. There are always sources of inaccuracies in each of the steps. It is of interest to identify the source and magnitude of…

The National Education Association's Task Force on Testing has stated its opinion that standardized tests are overused. The task force suggests that the application of sampling techniques and a variety of alternatives to current testing practices would accomplish the same purposes. Representatives of the testing industry have indicated that the…

The merits and hazards of minimum competency testing for the individual student or for student groups are discussed. Types of groups which lend themselves to group application and some important factors in determining the parameters of a group are discussed. Ten critical issues related to minimum competency testing are identified: (1) scope of…

Latent trait model calibration procedures were used on data obtained from a group testing program. The one-parameter model of Wright and Panchapakesan and the three-parameter logistic model of Wingersky, Wood, and Lord were selected for comparison. These models and their corresponding estimation procedures were compared, using actual and simulated…