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Gross, Alan L.; Torres-Quevedo, Rocio – Psychometrika, 1995
The posterior distribution of the bivariate correlation is analytically derived given a data set where "X" is completely observed, but "Y" is missing at random for a portion of the sample. Interval estimates of the correlation are constructed from the posterior distribution in terms of the highest density regions. (SLD)
Descriptors: Bayesian Statistics, Correlation, Equations (Mathematics), Estimation (Mathematics)
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Alexander, Ralph A.; And Others – Educational and Psychological Measurement, 1987
This article presents an improved approximation formula for the problem of correcting correlation coefficients that arise from range-restricted distributions on either or both the independent and dependent variable. (BS)
Descriptors: Correlation, Estimation (Mathematics), Mathematical Formulas, Sampling
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Palachek, Albert D.; Schucany, William R. – Psychometrika, 1984
The use of U-statistics based on rank correlation coefficients in estimating the strength of concordance among a group of rankers is examined for cases where the null hypothesis of random rankings is not tenable. (Author/BW)
Descriptors: Correlation, Estimation (Mathematics), Hypothesis Testing, Interrater Reliability
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Batley, Rose-Marie; Boss, Marvin W. – Applied Psychological Measurement, 1993
The adequacy of multidimensional trait and item parameters using multidimensional item response theory analysis was studied through simulation using different degrees of correlation between two trait dimensions and the existence of a restricted trait on the second dimension. Conditions allowing adequate recovery of trait and item parameters are…
Descriptors: Computer Simulation, Correlation, Equations (Mathematics), Estimation (Mathematics)
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Bedrick, 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
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Kirisci, Levent; Hsu, Tse-Chi – 1995
The main goal of this study was to assess how sensitive unidimensional parameter estimates derived from BILOG were when the unidimensionality assumption was violated and the underlying ability distribution was not multivariate normal. A multidimensional three-parameter logistic distribution that was a straightforward generalization of the…
Descriptors: Ability, Comparative Analysis, Correlation, Difficulty Level
Lambert, Richard G.; Curlette, William L. – 1995
Validity generalization meta-analysis (VG) examines the extent to which the validity of an instrument can be transported across settings. VG offers correction and summarization procedures designed in part to remove the effects of statistical artifacts on estimates of association between criterion and predictor. By employing a random effects model,…
Descriptors: Correlation, Error of Measurement, Estimation (Mathematics), Meta Analysis
Buhr, Dianne C.; Algina, James – 1986
The focus of this study is on the estimation procedures implemented in BILOG, a computer program. One purpose is to compare the item parameter estimates produced by various procedures available in BILOG. Four different models are used: the one, two, and three parameter model and a three parameter model with common guessing parameters. The results…
Descriptors: Ability, Bayesian Statistics, Comparative Analysis, Computer Oriented Programs
Schiel, Jeff; Noble, Julie – 1992
Traditionally, correlation coefficients have been used to validate course placement decisions based on test scores and high school grades. Because placement systems restrict the range of both the predictor and outcome variables, correlation coefficients based on data from students enrolled in particular courses are understated relative to what…
Descriptors: Basic Skills, College Freshmen, Correlation, Decision Making