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Beaton, Albert E. – 1987
In 1982, the Educational Testing Service (ETS) proposed to implement a new, complex design for the National Assessment of Educational Progress (NAEP). The major features of this design are described in "A New Design for a New Era" (Messick, Beaton, and Lord, 1983). The purpose of this document is to describe the actual implementation of…
Descriptors: Academic Achievement, Data Analysis, Data Collection, Data Interpretation
Beaton, Albert E.; Barone, John L. – 1981
The purpose of this paper is to show the effect of using a selection test on the average criterion score of the entering class. The correlation coefficient (times 100) is shown to be the percentage of improvement of using the selection test over what would happen on the average if the test were not used. A simple formula is developed for…
Descriptors: College Entrance Examinations, Higher Education, Predictive Measurement, Predictive Validity
Beaton, Albert E. – 1981
Least squares fitting process as a method of data reduction is presented. The general strategy is to consider fitting (linear) models as partitioning data into a fit and residuals. The fit can be parsimoniously represented by a summary of the data. A fit is considered adequate if the residuals are small enough so that manipulating their signs and…
Descriptors: Goodness of Fit, Least Squares Statistics, Mathematical Models, Measurement Techniques
Beaton, Albert E.; Gonzalez, Eugenio – 1995
This guide to the National Assessment of Educational Progress (NAEP) is designed to help the secondary data analyst use the NAEP and to introduce some of the sophisticated technology used by the NAEP. The NAEP has been gathering information on American students since 1969. It samples populations that consist of all students in U.S. schools, both…
Descriptors: Achievement Tests, Data Analysis, Databases, Educational Trends
Beaton, Albert E.; And Others – 1988
This report supplies details of the design and data analysis of the 1986 National Assessment of Educational Progress (NAEP) to allow the reader to judge the utility of the design, data quality, reasonableness of assumptions, appropriateness of data analyses, and generalizability of inferences made from the data. After an introduction by A. E.…
Descriptors: Data Collection, Data Processing, Databases, Field Tests
Beaton, Albert E. – 1989
The introduction of the trial state assessment program into the design of the 1990 National Assessment of Educational Progress (NAEP) raises questions about differences across states in sampling and administration practices. In addition, questions about the general approach to comparing state data to national data need discussion. Subject areas…
Descriptors: Comparative Analysis, Differences, Elementary School Students, Elementary Secondary Education
Beaton, Albert E.; And Others – 1996
The Third International Mathematics and Science Study (TIMSS) is the largest and most ambitious study undertaken by the International Association for the Evaluation of Educational Achievement. Forty-five countries collected data in more than 30 languages. Five grade levels were tested in the two subject areas, so that more than half a million…
Descriptors: Comparative Analysis, Data Collection, Family Environment, Foreign Countries