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Yao, Lihua – Psychometrika, 2012
Multidimensional computer adaptive testing (MCAT) can provide higher precision and reliability or reduce test length when compared with unidimensional CAT or with the paper-and-pencil test. This study compared five item selection procedures in the MCAT framework for both domain scores and overall scores through simulation by varying the structure…
Descriptors: Item Banks, Test Length, Simulation, Adaptive Testing

Schulman, Robert S. – Psychometrika, 1976
Based on the test theory model for ordinal measurements proposed by Schulman and Haden, the present paper considers correlations between tests, attenuation, regressions involving true and observed scores, and predictions of test reliability. Comparisons are made to interval test theory. (Author/JKS)
Descriptors: Correlation, Error of Measurement, Measurement Techniques, Predictive Measurement

Feldt, Leonard S. – Psychometrika, 1980
Procedures are developed for testing the hypothesis that Cronbach's alpha reliability coefficient is equal for two tests given to the same subjects. (Author/JKS)
Descriptors: Error of Measurement, Hypothesis Testing, Measurement, Statistical Significance

Zimmerman, Donald W.; Williams, Richard H. – Psychometrika, 1982
Formulas for the standard error of measurement of three measures of change (simple differences; residualized difference scores; and a measure introduced by Tucker, Damarin, and Messick) are derived. A practical guide for determining the relative error of the three measures is developed. (Author/JKS)
Descriptors: Achievement Gains, Algorithms, Differences, Error of Measurement

Allison, Paul A. – Psychometrika, 1976
A direct proof is given for the generalized Spearman-Brown formula for any real multiple of test length. (Author)
Descriptors: Correlation, Error of Measurement, Raw Scores, Test Length

Huynh, Huynh – Psychometrika, 1980
A procedure for estimating the rates of false positive and false negative classification in a mastery testing situation is described. Formulas and tables are described for the computations of the standard errors. (Author/JKS)
Descriptors: Cutting Scores, Error of Measurement, Mastery Tests, Screening Tests

Segall, Daniel O. – Psychometrika, 1994
An asymptotic expression for the reliability of a linearly equated test is developed using normal theory. Reliability is expressed as the product of test reliability before equating and an adjustment term that is a function of the sample sizes used to estimate the linear equating transformation. The approach is illustrated. (SLD)
Descriptors: Equated Scores, Error of Measurement, Estimation (Mathematics), Sample Size

Lord, Frederic M. – Psychometrika, 1983
Given known item parameters for a test, unbiased estimators are derived for an examinee's ability parameter, his or her proportion correct true score for the variances of these parameters and for the parallel forms reliability of the maximum likelihood estimator of the ability parameter. (Author/JKS)
Descriptors: Error of Measurement, Estimation (Mathematics), Item Analysis, Latent Trait Theory

Brennan, Robert L.; Kane, Michael T. – Psychometrika, 1977
Using the assumption of randomly parallel tests and concepts from generalizability theory, three signal/noise ratios for domain-referenced tests are developed, discussed, and compared. The three ratios have the same noise but different signals depending upon the kind of decision to be made as a result of measurement. (Author/JKS)
Descriptors: Comparative Analysis, Criterion Referenced Tests, Error of Measurement, Mathematical Models

Kristof, Walter – Psychometrika, 1971
Descriptors: Cognitive Measurement, Error of Measurement, Mathematical Models, Psychological Testing

Novick, Melvin R.; And Others – Psychometrika, 1971
Descriptors: Analysis of Variance, Bayesian Statistics, Error of Measurement, Mathematical Models

Kim, Jwa K.; Nicewander, W. Alan – Psychometrika, 1993
Bias, standard error, and reliability of five ability estimators were evaluated using Monte Carlo estimates of the unknown conditional means and variances of the estimators. Results indicate that estimates based on Bayesian modal, expected a posteriori, and weighted likelihood estimators were reasonably unbiased with relatively small standard…
Descriptors: Ability, Bayesian Statistics, Equations (Mathematics), Error of Measurement