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Hanushek, Eric A.; Rivkin, Steven G. – National Center for Analysis of Longitudinal Data in Education Research, 2010
Extensive education research on the contribution of teachers to student achievement produces two generally accepted results. First, teacher quality varies substantially as measured by the value added to student achievement or future academic attainment or earnings. Second, variables often used to determine entry into the profession and…
Descriptors: Credentials, Teacher Effectiveness, Models, Teacher Qualifications
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Havriluk, Rod – Research Quarterly for Exercise and Sport, 2007
An analysis was conducted to identify sources of true and error variance in measuring swimming drag force to draw valid conclusions about performance factor effects. Passive drag studies were grouped according to methodological differences: tow line in pool, tow line in flume, and carriage in tow tank. Active drag studies were grouped according to…
Descriptors: Aquatic Sports, Error of Measurement, Performance Factors, Measurement Techniques
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Kwok, Oi-man; West, Stephen G.; Green, Samuel B. – Multivariate Behavioral Research, 2007
This Monte Carlo study examined the impact of misspecifying the [big sum] matrix in longitudinal data analysis under both the multilevel model and mixed model frameworks. Under the multilevel model approach, under-specification and general-misspecification of the [big sum] matrix usually resulted in overestimation of the variances of the random…
Descriptors: Monte Carlo Methods, Data Analysis, Computation, Longitudinal Studies
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Gaudron, Jean-Philippe; Vautier, Stephane – Journal of Vocational Behavior, 2007
This study aimed at estimating the correlation between true scores (true consistency) of vocational interest over a short time span in a sample of 1089 adults. Participants were administered 54 items assessing vocational, family, and leisure interests twice over a 1-month period. Responses were analyzed with a multitrait (MT) model, which supposes…
Descriptors: Vocational Interests, Correlation, True Scores, Longitudinal Studies
Kim, Sung-Ho – 1992
One of the major problems that a tree-approach to data analysis often encounters is the instability of tree-structures. The instability issue must be dealt with before data can be interpreted by this method. Examining instability at a node of a tree provides insight into the instability of the whole tree, because the same theory of instability…
Descriptors: Error of Measurement, Models, Regression (Statistics), Sample Size
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Pandey, Tej N.; Shoemaker, David M. – Educational and Psychological Measurement, 1975
Described herein are formulas and computational procedures for estimating the mean and second through fourth central moments of universe scores through multiple matrix sampling. Additionally, procedures are given for approximating the standard error associated with each estimate. All procedures are applicable when items are scored either…
Descriptors: Error of Measurement, Item Sampling, Matrices, Scoring Formulas
Stuck, Ivan A. – 1990
Parallel merit reliability (PMR) indexes the same consistency of measurement that is reflected in a validity coefficient; it reflects the reliability of measurement across identical merit score cases. Research has identified the potential benefits of the PMR approach as providing item level and cut-score reliability indices without requiring…
Descriptors: Error of Measurement, Estimation (Mathematics), Research Methodology, Scoring
Pandey, Tej N. – 1975
Standard errors of pooled mean estimate in multiple matrix sampling were compared for two procedures. The data were from tests involving items with and without replacement. The two procedures involve the formulations of Madow and Lord, and Novick; the former permits sampling of item, with or without replacement, whereas the latter is to be used…
Descriptors: Comparative Analysis, Error of Measurement, Item Sampling, Matrices
Kleinke, David J. – 1976
Data from 200 college-level tests were used to compare three reliability approximations (two of Saupe and one of Cureton) to Kuder-Richardson Formula 20 (KR20). While the approximations correlated highly (about .9) with the reliability estimate, they tended to be underapproximations. The explanation lies in an apparent bias of Lord's approximation…
Descriptors: Comparative Analysis, Correlation, Error of Measurement, Statistical Analysis
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Subkoviak, Michael J.; Levin, Joel R. – Journal of Educational Measurement, 1977
Measurement error in dependent variables reduces the power of statistical tests to detect mean differences of specified magnitude. Procedures for determining power and sample size that consider the reliability of the dependent variable are discussed and illustrated. Methods for estimating reliability coefficients used in these procedures are…
Descriptors: Error of Measurement, Hypothesis Testing, Power (Statistics), Sampling
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Tschetter, John – Monthly Labor Review, 1984
Evaluates the projections of 1980 economic activity and industry output and employment. Discusses errors in employment projections (especially in underestimations of employment) and determines sources of errors. (SK)
Descriptors: Employment Projections, Employment Statistics, Error of Measurement, Industry
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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
Capraro, Robert M.; Graham, James M. – 2002
This paper illustrates first how estimated Structural Equation Modeling (SEM) measurement error variances are actually estimates of score reliabilities. The major advantage of SEM over other analytic methods is that it accounts for measurement error. Score reliabilities are estimated as part of structural modeling, so that structural models test…
Descriptors: Error of Measurement, Estimation (Mathematics), Reliability, Scores
Henson, Robin K.; Thompson, Bruce – 2001
Given the potential value of reliability generalization (RG) studies in the development of cumulative psychometric knowledge, the purpose of this paper is to provide a tutorial on how to conduct such studies and to serve as a guide for researchers wishing to use this methodology. After some brief comments on classical test theory, the paper…
Descriptors: Coding, Error of Measurement, Psychometrics, Reliability
Onwuegbuzie, Anthony J.; Daniel, Larry G. – 1999
The purpose of this paper is to provide an in-depth critical analysis of the use and misuse of correlation coefficients. Various analytical and interpretational misconceptions are reviewed, beginning with the egregious assumption that correlational statistics may be useful in inferring causality. Additional misconceptions, stemming from…
Descriptors: Causal Models, Correlation, Effect Size, Error of Measurement
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