Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 6 |
Descriptor
True Scores | 7 |
Comparative Analysis | 3 |
Error of Measurement | 3 |
Regression (Statistics) | 3 |
Computation | 2 |
Item Response Theory | 2 |
Probability | 2 |
Raw Scores | 2 |
Simulation | 2 |
Bayesian Statistics | 1 |
Computer Simulation | 1 |
More ▼ |
Source
Journal of Educational and… | 7 |
Author
Brennan, Robert L. | 1 |
DeMars, Christine E. | 1 |
Edwards, Michael C. | 1 |
Garcia-Perez, Miguel A. | 1 |
Haberman, Shelby J. | 1 |
Jiang, Hai | 1 |
Kolen, Michael J. | 1 |
Lee, Won-Chan | 1 |
Liu, Yuming | 1 |
Qian, Jiahe | 1 |
Schulz, E. Matthew | 1 |
More ▼ |
Publication Type
Journal Articles | 7 |
Reports - Evaluative | 3 |
Reports - Research | 3 |
Reports - Descriptive | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
Iowa Tests of Basic Skills | 1 |
What Works Clearinghouse Rating
Garcia-Perez, Miguel A. – Journal of Educational and Behavioral Statistics, 2010
A recent comparative analysis of alternative interval estimation approaches and procedures has shown that confidence intervals (CIs) for true raw scores determined with the Score method--which uses the normal approximation to the binomial distribution--have actual coverage probabilities that are closest to their nominal level. It has also recently…
Descriptors: Computation, Statistical Analysis, True Scores, Raw Scores
DeMars, Christine E. – Journal of Educational and Behavioral Statistics, 2009
The Mantel-Haenszel (MH) and logistic regression (LR) differential item functioning (DIF) procedures have inflated Type I error rates when there are large mean group differences, short tests, and large sample sizes.When there are large group differences in mean score, groups matched on the observed number-correct score differ on true score,…
Descriptors: Regression (Statistics), Test Bias, Error of Measurement, True Scores
Haberman, Shelby J.; Qian, Jiahe – Journal of Educational and Behavioral Statistics, 2007
Statistical prediction problems often involve both a direct estimate of a true score and covariates of this true score. Given the criterion of mean squared error, this study determines the best linear predictor of the true score given the direct estimate and the covariates. Results yield an extension of Kelley's formula for estimation of the true…
Descriptors: Prediction, Regression (Statistics), True Scores, Correlation
Liu, Yuming; Schulz, E. Matthew; Yu, Lei – Journal of Educational and Behavioral Statistics, 2008
A Markov chain Monte Carlo (MCMC) method and a bootstrap method were compared in the estimation of standard errors of item response theory (IRT) true score equating. Three test form relationships were examined: parallel, tau-equivalent, and congeneric. Data were simulated based on Reading Comprehension and Vocabulary tests of the Iowa Tests of…
Descriptors: Reading Comprehension, Test Format, Markov Processes, Educational Testing
Edwards, Michael C.; Vevea, Jack L. – Journal of Educational and Behavioral Statistics, 2006
This article examines a subscore augmentation procedure. The approach uses empirical Bayes adjustments and is intended to improve the overall accuracy of measurement when information is scant. Simulations examined the impact of the method on subscale scores in a variety of realistic conditions. The authors focused on two popular scoring methods:…
Descriptors: Geometric Concepts, True Scores, Scoring, Item Response Theory

Jiang, Hai; Stout, William – Journal of Educational and Behavioral Statistics, 1998
Proposes a new regression correction for the SIBTEST statistical tests (R. Shealy and W. Stout, 1993) that essentially uses a two-segment piecewise linear regression of the true on observed matching subtest scores. A simulation study illustrates the approach. (SLD)
Descriptors: Estimation (Mathematics), Item Bias, Regression (Statistics), Simulation
Lee, Won-Chan; Brennan, Robert L.; Kolen, Michael J. – Journal of Educational and Behavioral Statistics, 2006
Assuming errors of measurement are distributed binomially, this article reviews various procedures for constructing an interval for an individual's true number-correct score; presents two general interval estimation procedures for an individual's true scale score (i.e., normal approximation and endpoints conversion methods); compares various…
Descriptors: Probability, Intervals, Guidelines, Computer Simulation