In large-scale assessments, such as the National Assessment of Educational Progress (NAEP), plausible values based on Multiple Imputations (MI) have been used to estimate population characteristics for latent constructs under complex sample designs. Mislevy (1991) derived a closed-form analytic solution for a fixed-effect model in creating…

In this article, we consider estimation of parameters of random effects models from samples collected via complex multistage designs. Incorporation of sampling weights is one way to reduce estimation bias due to unequal probabilities of selection. Several weighting methods have been proposed in the literature for estimating the parameters of…

Several complex sample standard error estimators based on linearization and resampling for the latent regression model of the National Assessment of Educational Progress (NAEP) are studied with respect to design choices such as number of items, number of regressors, and the efficiency of the sample. This paper provides an evaluation of the extent…

Describes and assesses missing data methods currently used to analyze data from matrix sampling designs implemented by the National Assessment of Educational Progress. Several improved methods are developed, and these models are evaluated using an EM algorithm to obtain maximum likelihood estimates followed by multiple imputation of complete data…

Model-based methods for estimating the population mean in stratified clustered sampling are described. The importance of adjusting the weights is assessed by an approach considering the sampling variation of the adjusted weights and its (variance) components. The resulting estimators are more efficient than the jackknife estimators for a variety…

Describes the evolution of national educational assessment in the United States, its present stage of development, methodological and reporting problems, and approaches applicable to assessment data. Examines how proposed approaches can be applied in the California Assessment Program and in the National Assessment of Educational Progress. (MJL)

A psychological theory of educational productivity is tested, and the usefulness of the National Assessment of Educational Progress data for secondary analyses for policy purposes is explored. Class as a social psychological factor and the didactic quality of instruction appear to be the only unequivocal and potentially manipulable causes of…

This Monte Carlo study examined the effect of complex sampling of items on the measurement of differential item functioning (DIF) using the Mantel-Haenszel procedure. Data were generated using a three-parameter logistic item response theory model according to the balanced incomplete block (BIB) design used in the National Assessment of Educational…

This symposium deals with recent issues in the development of the National Assessment model. General goals are outlined and the following topics are discussed: "Objectives and Exercises" (Jack C. Merwin); "Sampling" (A. Finkner); and "Data Analysis" (John Milholland). (CK) Aspect of National Assessment (NAEP) dealt…