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Pfaffel, Andreas; Schober, Barbara; Spiel, Christiane – Practical Assessment, Research & Evaluation, 2016
A common methodological problem in the evaluation of the predictive validity of selection methods, e.g. in educational and employment selection, is that the correlation between predictor and criterion is biased. Thorndike's (1949) formulas are commonly used to correct for this biased correlation. An alternative approach is to view the selection…
Descriptors: Comparative Analysis, Correlation, Statistical Bias, Maximum Likelihood Statistics
Blackwell, Matthew; Honaker, James; King, Gary – Sociological Methods & Research, 2017
We extend a unified and easy-to-use approach to measurement error and missing data. In our companion article, Blackwell, Honaker, and King give an intuitive overview of the new technique, along with practical suggestions and empirical applications. Here, we offer more precise technical details, more sophisticated measurement error model…
Descriptors: Error of Measurement, Correlation, Simulation, Bayesian Statistics
Aydin, Burak; Leite, Walter L.; Algina, James – Educational and Psychological Measurement, 2016
We investigated methods of including covariates in two-level models for cluster randomized trials to increase power to detect the treatment effect. We compared multilevel models that included either an observed cluster mean or a latent cluster mean as a covariate, as well as the effect of including Level 1 deviation scores in the model. A Monte…
Descriptors: Error of Measurement, Predictor Variables, Randomized Controlled Trials, Experimental Groups
Peer reviewedPoon, Wai-Yin; Lee, Sik-Yum – Psychometrika, 1988
These errata correct several typographical errors affecting five equations presented in the authors' paper in 1987. (TJH)
Descriptors: Correlation, Equations (Mathematics), Estimation (Mathematics), Maximum Likelihood Statistics
Peer reviewedRaghunathan, Trivellore E.; Diehr, Paula K.; Cheadle, Allen D. – Journal of Educational and Behavioral Statistics, 2003
Developed two methods for estimating the individual level correlation coefficient that combines information from aggregate data with a small fraction of the individual level data. Results of a simulation study support the use of these methods. (SLD)
Descriptors: Correlation, Data Analysis, Equations (Mathematics), Estimation (Mathematics)
Peer reviewedBedrick, Edward J. – Psychometrika, 1990
Asymptotic distributions of H. Brogden's and F. Lord's modified sample biserial correlation coefficients (SBCCs) are derived. Asymptotic variances of these estimators are evaluated for bivariate normal populations and compared to the maximum likelihood estimator's asymptotic variance. These estimators are less variable than ordinary SBCCs when the…
Descriptors: Correlation, Equations (Mathematics), Estimation (Mathematics), Mathematical Models
Peer reviewedO'Grady, Kevin E.; Medoff, Deborah R. – Multivariate Behavioral Research, 1991
A procedure for evaluating a variety of rater reliability models is presented. A multivariate linear model is used to describe and assess a set of ratings. Parameters are represented in terms of a factor analytic model, and maximum likelihood methods test the model parameters. Illustrative examples are presented. (SLD)
Descriptors: Comparative Analysis, Correlation, Equations (Mathematics), Estimation (Mathematics)

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