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Green, Samuel B.; Hershberger, Scott L. – Structural Equation Modeling, 2000
Proposes true score models that can account for correlated errors and their effect on coefficient alpha. These models allow random measurement errors on earlier items to affect directly or indirectly the scores on later items. Conditions under which coefficient alpha may yield spuriously high estimates or reliability are discussed. (SLD)
Descriptors: Correlation, Error of Measurement, Reliability, True Scores
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Huitema, Bradley E.; McKean, Joseph W. – Educational and Psychological Measurement, 1996
Two tests for the jackknife autocorrelation estimator r(Q2) are evaluated. It is shown that a test based on the conventional approach for estimating the standard error of a jackknife estimator leads to unacceptable Type I error. An alternative approach is proposed that leads to a more satisfactory test when n>20. (Author/SLD)
Descriptors: Error of Measurement, Estimation (Mathematics), Test Use
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Lindell, Michael K.; Brandt, Christina J.; Whitney, David J. – Applied Psychological Measurement, 1999
Proposes a revised index of interrater agreement for multi-item ratings of a single target. This index is an inverse linear function of the ratio of the average obtained variance to the variance of the uniformly distributed random error. Discusses the importance of sample size for the index. (SLD)
Descriptors: Error of Measurement, Interrater Reliability, Sample Size
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Hancock, Gregory R.; Nevitt, Jonathan – Structural Equation Modeling, 1999
Explains why, when one is using a bootstrapping approach for generating empirical standard errors for parameters of interest, the researchers must choose to fix an indicator path rather than the latent variable variance for the empirical standard errors to be generated properly. (SLD)
Descriptors: Error of Measurement, Identification, Structural Equation Models
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Wilcox, Rand R. – Educational and Psychological Measurement, 2005
It is known that nonnormality, a heteroscedastic error term, or a nonlinear association can create serious practical problems when using the conventional analysis of covariance (ANCOVA) method. This article describes a simple ANCOVA method that allows heteroscedasticity, nonnormality, nonlinearity, and multiple covariates. When standard…
Descriptors: Statistical Analysis, Error of Measurement, Measurement Techniques
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Christ, Theodore J. – School Psychology Review, 2006
Curriculum-based measurement of oral reading fluency (CBM-R) is an established procedure used to index the level and trend of student growth. A substantial literature base exists regarding best practices in the administration and interpretation of CBM-R; however, research has yet to adequately address the potential influence of measurement error.…
Descriptors: Intervals, Curriculum Based Assessment, Reading Fluency, Error of Measurement
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Camilli, Gregory – Journal of Educational and Behavioral Statistics, 2006
A simple errors-in-variables regression model is given in this article for illustrating the method of marginal maximum likelihood (MML). Given suitable estimates of reliability, error variables, as nuisance variables, can be integrated out of likelihood equations. Given the closed form expression of the resulting marginal likelihood, the effects…
Descriptors: Maximum Likelihood Statistics, Regression (Statistics), Reliability, Error of Measurement
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Wetcher-Hendricks, Debra – Psychological Methods, 2006
With respect to the often-present covariance between error terms of correlated variables, D. W. Zimmerman and R. H. Williams's (1977) adjusted correction for attenuation estimates the strength of the pairwise correlation between true scores without assuming independence of error scores. This article focuses on the derivation and analysis of…
Descriptors: Correlation, Scores, Error Correction, Error of Measurement
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Vlachopoulos, Symeon P. – Structural Equation Modeling: A Multidisciplinary Journal, 2008
This study examined the extent of measurement invariance of the Basic Psychological Needs in Exercise Scale responses (BPNES; Vlachopoulos & Michailidou, 2006) across male (n = 716) and female (n = 1,147) exercise participants. BPNES responses from exercise participants attending private fitness centers (n = 1,012) and community exercise programs…
Descriptors: Psychological Patterns, Factor Structure, Measures (Individuals), Measurement
Maynard, Rebecca; Dong, Nianbo – Society for Research on Educational Effectiveness, 2009
This study empirically investigates the effectiveness of Distributed Leadership Teacher Training (DLT) program on improving student's academic achievement. In addition, it both tests the assumption that the year 1 impacts are stable across calendar years and examines the importance of properly accounting for the fact that the standard error of the…
Descriptors: Urban Schools, Middle School Students, Elementary School Students, Sample Size
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Antal, Tamás – ETS Research Report Series, 2007
Full account of the latent regression model for the National Assessment of Educational Progress is given. The treatment includes derivation of the EM algorithm, Newton-Raphson method, and the asymptotic standard errors. The paper also features the use of the adaptive Gauss-Hermite numerical integration method as a basic tool to evaluate…
Descriptors: Regression (Statistics), Item Response Theory, National Competency Tests, Evaluation Methods
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Kim, Seock-Ho – Educational and Psychological Measurement, 2007
The procedures required to obtain the approximate posterior standard deviations of the parameters in the three commonly used item response models for dichotomous items are described and used to generate values for some common situations. The results were compared with those obtained from maximum likelihood estimation. It is shown that the use of…
Descriptors: Item Response Theory, Computation, Comparative Analysis, Evaluation Methods
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French, Brian F.; Finch, W. Holmes – Structural Equation Modeling: A Multidisciplinary Journal, 2006
Confirmatory factor analytic (CFA) procedures can be used to provide evidence of measurement invariance. However, empirical evaluation has not focused on the accuracy of common CFA steps used to detect a lack of invariance across groups. This investigation examined procedures for detection of test structure differences across groups under several…
Descriptors: Factor Analysis, Structural Equation Models, Evaluation Criteria, Error of Measurement
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Sivo, Stephen A.; Xitao, Fan; Witta, E. Lea; Willse, John T. – Journal of Experimental Education, 2006
This study is a partial replication of L. Hu and P. M. Bentler's (1999) fit criteria work. The purpose of this study was twofold: (a) to determine whether cut-off values vary according to which model is the true population model for a dataset and (b) to identify which of 13 fit indexes behave optimally by retaining all of the correct models while…
Descriptors: Structural Equation Models, Goodness of Fit, Criteria, Sample Size
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Williams, Richard H. – Journal of Experimental Education, 1974
An equation comparable to Spearman's correction for attenuation, which does not depend upon the assumption that error scores are uncorrelated with true scores and with other sets of scores, is derived. (Editor)
Descriptors: Correlation, Error of Measurement, Statistical Analysis, True Scores
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