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Dorans, Neil J. – ETS Research Report Series, 2018
A distinction is made between scores as measures of a construct and predictions of a criterion or outcome variable. The interpretation attached to predictions of criteria, such as job performance or college grade point average (GPA), differs from that attached to scores that are measures of a construct, such as reading proficiency or knowledge…
Descriptors: Job Performance, Scores, Data Interpretation, Statistical Distributions
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Watson, Jane – Australian Primary Mathematics Classroom, 2015
Using statistical literacy skills to determine appropriate scales to be used on graphs is an essential part of numeracy. Using several meaningful contexts, this article explains very clearly when it is appropriate and inappropriate to begin the scale of a graph at zero.
Descriptors: Statistics, Numeracy, Graphs, Scaling
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Pellegrini, Santiago; Papini, Mauricio R. – Learning and Motivation, 2007
Papini and Pellegrini (Papini, M. R., & Pellegrini, S. "Scaling relative incentive value in consummatory behavior." "Learning and Motivation", in press) observed that, within limits, the level of consummatory responding of rats exposed to incentive downshifts in the concentration of sucrose solutions was similar when the ratio of test/training…
Descriptors: Scaling, Incentives, Behavior, Conditioning
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Papini, Mauricio R.; Pellegrini, Santiago – Learning and Motivation, 2006
Surprising downshifts from more preferred (training incentive) to less preferred incentives (test incentive) are usually accompanied by emotional activation and suppression of conditioned behavior in rats. Two experiments were designed to determine whether consummatory behavior is similarly affected by downshifts of equal proportions. Within…
Descriptors: Scaling, Incentives, Behavior, Conditioning
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Galal, Gehad M.; Cook, Diane J.; Holder, Lawrence B. – Journal of the American Society for Information Science, 1999
Discusses structural components of databases that require data-mining algorithms and describes the SUBDUE system that is designed to discover knowledge in structural databases. Analyses the ability of SUBDUE to scale to large databases and describes parallel and distributed implementations to investigate methods for improving the scalability of…
Descriptors: Algorithms, Data Interpretation, Databases, Discovery Processes
Beaton, Albert E.; Johnson, Eugene G. – 1990
When the Educational Testing Service became the administrator of the National Assessment of Educational Progress (NAEP) in 1983, it introduced scales based on item response theory (IRT) as a way of presenting results of the assessment to the general public. Some properties of the scales and their uses are discussed. Initial attempts at presenting…
Descriptors: Academic Achievement, Data Interpretation, Educational Assessment, Elementary Secondary Education
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Braun, Henry I. – Journal of Educational Measurement, 1988
A new approach to the quantification and interpretation of change when only repeated cross-sectional data are available--the Trajectory Analysis of Matched Percentiles--is presented. A recent attempt to interpret the findings on reading achievement of the National Assessment of Educational Progress is critically analyzed. (SLD)
Descriptors: Academic Achievement, Achievement Tests, Data Collection, Data Interpretation
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
Harlen, Wynne – 1994
This paper gives an overview of the methods of moderation, or quality assurance and quality control, as they may be more widely known, that are used to enhance the quality of student assessment. The discussion is based on the educational systems of the United Kingdom but is applicable to assessment in other countries. Quality in assessment is seen…
Descriptors: Accreditation (Institutions), Criteria, Data Collection, Data Interpretation