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Olsen, Robert B.; Unlu, Fatih; Price, Cristofer; Jaciw, Andrew P. – National Center for Education Evaluation and Regional Assistance, 2011
This report examines the differences in impact estimates and standard errors that arise when these are derived using state achievement tests only (as pre-tests and post-tests), study-administered tests only, or some combination of state- and study-administered tests. State tests may yield different evaluation results relative to a test that is…
Descriptors: Achievement Tests, Standardized Tests, State Standards, Reading Achievement
Lord, Frederic M. – 1981
Transformations or equating of raw test scores on two or more forms of the same test are made interchangeable by empirical procedures deriving the standard error of an equipercentile equating for four different situations. Some numerical results are checked by Monte Carlo methods. Numerical standard errors are computed for two sets of real data.…
Descriptors: Educational Testing, Equated Scores, Error of Measurement, Mathematical Formulas
Johanson, George A. – 1992
Most educational measurement texts distinguish between norm-referenced (NR), or relative, methods of assigning letter grades to objective test scores, and criterion-referenced (CR), or absolute, methods. Both NR and CR approaches have serious limitations in typical classroom situations, and neither approach, in its pure form, may be entirely…
Descriptors: Criterion Referenced Tests, Cutting Scores, Educational Testing, Error of Measurement
Spencer, Bruce D. – 1986
The National Assessment of Educational Progress (NAEP) currently tests seventeen-year-old students enrolled in public and private secondary schools, but it does not test "out-of-school" seventeen-year-olds who have either graduated or dropped out. Estimating that one of five seventeen-year-olds is out of school, the interpretability of…
Descriptors: Adolescents, Cohort Analysis, Dropouts, Educational Assessment

Jencks, Christopher; And Others – Sociology of Education, 1983
Data from Project Talent are utilized to assess the representativeness of the samples used in the Wisconsin and the Exploration in Equality of Opportunity (EEO) surveys. Adequacy of the measures of academic aptitude and aspiration used in the surveys are examined, and problems with the Wisconsin model are briefly discussed. (RM)
Descriptors: Ability Identification, Academic Ability, Academic Achievement, Academic Aspiration