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Shoemaker, David M. – 1972
Investigated empirically through post mortem item-examinee sampling was the feasibility of the jackknife as a procedure for approximating standard errors of estimate in multiple matrix sampling. The parameters estimated were the mean test score, second through fourth central moments of the test score distribution, and the variance of the item…
Descriptors: Error of Measurement, Error Patterns, Item Sampling, Matrices
Lord, Frederic M. – 1973
A new formula is developed for the relative efficiency of two tests measuring the same trait. The formula expresses relative efficiency solely in terms of the standard errors of measurement and, surprisingly, the frequency distributions of true scores. Approximate methods for estimating relative efficiency may make this function routinely…
Descriptors: Error of Measurement, Research Reports, Statistical Analysis, Test Interpretation
Peer reviewedSkinner, Harvey A. – Educational and Psychological Measurement, 1978
The concepts of elevation, scatter, and shape are investigated as parameters in assessing the similarity among profiles of individuals. A computational strategy for differentiating the independent contribution of each parameter to more global indices of resemblance is presented. (Author/JKS)
Descriptors: Data Analysis, Error of Measurement, Mathematical Models, Measurement Techniques
Peer reviewedCascio, Wayne F.; Kurtines, William M. – Educational and Psychological Measurement, 1977
A test of significance for identifying individuals who are most influenced by an experimental treatment as measured by pre-post test change score is presented. The technique requires true difference scores, the reliability of obtained differences, and their standard error of measurement. (Author/JKS)
Descriptors: Error of Measurement, Measurement Techniques, Pretesting, Pretests Posttests
Peer reviewedde Gruijter, Data N. M. – Psychometrika, 1985
A simplification of Lord and Wingersky's method for computing the asymptotic variance-covariance matrix of maximum likelihood estimates for item and person parameters under some restrictions on the estimates is presented. Computation of the error variance-covariance matrix for the item parameters in the Rasch model is described. (NSF)
Descriptors: Error of Measurement, Latent Trait Theory, Matrices, Maximum Likelihood Statistics
Peer reviewedYarnold, Paul R. – Educational and Psychological Measurement, 1984
Unreliable profiles impose the difficulty that ordinal and interval relations among the individual's scores become uncertain or unstable. A profile reliability coefficient is derived to estimate the relative expected extent of this ordinal and interval "inversion" for any profile of K measures. (Author/DWH)
Descriptors: Error of Measurement, Mathematical Models, Profiles, Test Reliability
Peer reviewedAllison, 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
Khoo, Siek-Toon; Muthen, Bengt – 1997
The aim of this paper is to explore methods for evaluating the effects of randomized interventions in a longitudinal design. The focus is on methods for modeling the possibly nonlinear relationship between treatment effect and baseline and evaluating the treatment effect taking this nonlinear relationship into account. A control/treatment growth…
Descriptors: Error of Measurement, Evaluation Methods, Interaction, Longitudinal Studies
Allen, Sally; Sudweeks, Richard R. – 2001
A study was conducted to identify local item dependence (LID) in the context-dependent item sets used in an examination prepared for use in an introductory university physics class and to assess the effects of LID on estimates of the reliability and standard error of measurement. Test scores were obtained for 487 students in the physics class. The…
Descriptors: College Students, Error of Measurement, Higher Education, Physics
Cui, Weiwei – 2003
This Digest describes four types of errors in mail surveys and summarizes the ways they can be reduced. Any one of these sources of error can make survey results unacceptable. Sampling error is examined through inferential statistics applied to sample survey results. In general, increasing sample size will decrease sampling error when simple…
Descriptors: Error of Measurement, Mail Surveys, Research Methodology, Responses
Romano, Jeanine; Kromrey, Jeffrey D. – 2002
The purpose of this study was to examine the potential impact of selected methodological factors on the validity of conclusions from reliability generalization (RG) studies. The study focused on four factors; (1) missing data in the primary studies; (2) transformation of sample reliability estimates; (3) use of sample weights for estimating mean…
Descriptors: Error of Measurement, Monte Carlo Methods, Reliability, Research Methodology
Fox, Jean-Paul – 2000
An item response theory (IRT) model is used as a measurement error model for the dependent variable of a multilevel model where tests or questionnaires consisting of separate items are used to perform a measurement error analysis. The advantage of using latent scores as dependent variables of a multilevel model is that it offers the possibility of…
Descriptors: Bayesian Statistics, Error of Measurement, Estimation (Mathematics), Item Response Theory
George, Carrie A. – 2001
Single studies, by themselves, rarely explain the effect of treatments or interventions definitively in the social sciences. Researchers created meta-analysis in the 1970s to address this need. Since then, meta-analytic techniques have been used to support certain treatment modalities and to influence policymakers. Although these techniques…
Descriptors: Comparative Analysis, Effect Size, Error of Measurement, Meta Analysis
Peer reviewedWhite, Richard T.; Clark, R. Malcolm – Psychometrika, 1973
A test which allows for errors of measurement is derived for the hypothesis that all the members of a population who possess a certain skill are a sub-set of the members who possess another skill. (Author)
Descriptors: Error of Measurement, Mathematical Applications, Psychometrics, Statistical Analysis
Peer reviewedEbel, Robert L. – Educational and Psychological Measurement, 1972
Author supports the credibility of the propositions that: (1) the true component of a score is proportional to the number of equivalent elements that contribute to it. And, (2) the error component of a score is proportional to the square root of the number of equivalent elements that contribute to it. (Author/MB)
Descriptors: Error of Measurement, Item Analysis, Mathematical Applications, Scores


