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Robertson, William C. – Science and Children, 2007
Using "error bars" on graphs is a good way to help students see that, within the inherent uncertainty of the measurements due to the instruments used for measurement, the data points do, in fact, lie along the line that represents the linear relationship. In this article, the author explains why connecting the dots on graphs of collected data is…
Descriptors: Graphs, Mathematical Formulas, Error of Measurement, Measurement

Cangelosi, James S. – Educational Measurement: Issues and Practice, 1984
Test development procedures and six methods for determining cut-off scores are briefly described. An alternate method, appropriate when the test developer also determines the cut-off score, is suggested. Unlike other methods, the standard is set during the test development stage. Its computations are intelligible to nonstatistically-oriented…
Descriptors: Criterion Referenced Tests, Cutting Scores, Elementary Secondary Education, Error of Measurement

Blasiak, Wladyslaw – Physics Education, 1983
Classifies errors as either systematic or blunder and uncertainties as either systematic or random. Discusses use of error/uncertainty analysis in direct/indirect measurement, describing the process of planning experiments to ensure lowest possible uncertainty. Also considers appropriate level of error analysis for high school physics students'…
Descriptors: Error of Measurement, Error Patterns, High Schools, Mathematics Skills
McCaffrey, Daniel F.; Lockwood, J. R.; Koretz, Daniel M.; Hamilton, Laura S. – RAND Corporation, 2003
Value-added modeling (VAM) to estimate school and teacher effects is currently of considerable interest to researchers and policymakers. Recent reports suggest that VAM demonstrates the importance of teachers as a source of variance in student outcomes. Policymakers see VAM as a possible component of education reform through improved teacher…
Descriptors: Educational Change, Accountability, Inferences, Models