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Petscher, Y.; Pentimonti, J.; Stanley, C. – National Center on Improving Literacy, 2019
Reliability is the consistency of a set of scores that are designed to measure the same thing. Reliability is a statistical property of scores that must be demonstrated rather than assumed.
Descriptors: Scores, Measurement, Test Reliability, Error Patterns
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Montgomery, Alyssa; Dumont, Ron; Willis, John O. – Journal of Psychoeducational Assessment, 2017
The articles presented in this Special Issue provide evidence for many statistically significant relationships among error scores obtained from the Kaufman Test of Educational Achievement, Third Edition (KTEA)-3 between various groups of students with and without disabilities. The data reinforce the importance of examiners looking beyond the…
Descriptors: Evidence, Validity, Predictive Validity, Error Patterns
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Clauser, Amanda L.; Wainer, Howard – Educational Measurement: Issues and Practice, 2016
It is widely accepted dogma that consequential decisions are better made with multiple measures, because using but a single one is thought more likely to be laden with biases and errors that can be better controlled with a wider source of evidence for making judgments. Unfortunately, advocates of using multiple measures too rarely provide detailed…
Descriptors: Tests, Examiners, College Entrance Examinations, Measurement
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Chiu, Ting-Wei; Camilli, Gregory – Applied Psychological Measurement, 2013
Guessing behavior is an issue discussed widely with regard to multiple choice tests. Its primary effect is on number-correct scores for examinees at lower levels of proficiency. This is a systematic error or bias, which increases observed test scores. Guessing also can inflate random error variance. Correction or adjustment for guessing formulas…
Descriptors: Item Response Theory, Guessing (Tests), Multiple Choice Tests, Error of Measurement
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Lazar, Ann A.; Zerbe, Gary O. – Journal of Educational and Behavioral Statistics, 2011
Researchers often compare the relationship between an outcome and covariate for two or more groups by evaluating whether the fitted regression curves differ significantly. When they do, researchers need to determine the "significance region," or the values of the covariate where the curves significantly differ. In analysis of covariance (ANCOVA),…
Descriptors: Statistical Analysis, Evaluation Research, Error Patterns, Bias
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Krijnen, Wim P. – Psychometrika, 2006
For the confirmatory factor model a series of inequalities is given with respect to the mean square error (MSE) of three main factor score predictors. The eigenvalues of these MSE matrices are a monotonic function of the eigenvalues of the matrix gamma[subscript rho] = theta[superscript 1/2] lambda[subscript rho] 'psi[subscript rho] [superscript…
Descriptors: Factor Analysis, Scores, Matrices, Error Patterns
Perlman, Carole L. – 1985
Due to a concern regarding the validity of Chicago public elementary schools standardized test scores on the Iowa Tests of Basic Skills, a test audit was conducted. The audit was limited to 40 schools. Two schools were selected from each of the 20 administrative districts, with each school testing one seventh- and one eighth-grade class. These…
Descriptors: Achievement Tests, Cheating, Educational Testing, Elementary Education