Mark R Raymond
Biographic Data
| ID | 9252008 |
|---|---|
| NAME | Mark R Raymond |
| GIVEN NAMES | Mark R |
| FAMILY NAME | Raymond |
| SIGNATURE | RAYMOND M R |
| AFFILIATIONS | National Board of Medical Examiners, Philadelphia, PA, USA |
| ORCID | 0000-0003-0472-1027 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1983 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
A Monte Carlo Study of Confidence Interval Methods for Generalizability Coefficient
Computing confidence intervals around generalizability coefficients has long been a challenging task in generalizability theory. This is a serious practical problem because generalizability coefficients are often computed from designs where some facets have small sample sizes, and researchers have little guide regarding the trustworthiness of the coefficients. As generalizability theory can be framed to a linear mixed-effect model (LMM), bootstra…
Indices of Subscore Utility for Individuals and Subgroups Based on Multivariate Generalizability Theory
Conventional methods for evaluating the utility of subscores rely on traditional indices of reliability and on correlations among subscores. One limitation of correlational methods is that they do not explicitly consider variation in subtest means. An exception is an index of score profile reliability designated as [Formula: see text], which quantifies the ratio of true score profile variance to observed score profile variance. [Formula: see text…
Nominal Weights Mean Equating: A Method for Very Small Samples
The authors introduced nominal weights mean equating, a simplified version of Tucker equating, as an alternative for dealing with very small samples. The authors then conducted three simulation studies to compare nominal weights mean equating to six other equating methods under the nonequivalent groups anchor test design with sample sizes of 20, 50, and 80 examinees. Results showed that nominal weights mean equating was generally the most effecti…
A Comparison of Methods for Treating Incomplete Data in Selection Research
Data were simulated to conform to covariance patterns taken from the personnel selection literature. Two, six, and ten percent of the values were deleted from one of three predictor variables in sample sizes of 50, 100 and 200. Incomplete data matrices were treated by four methods: (a) elimination of cases with incomplete data records; (b) substitution of missing values with the variable mean; (c) replacement of missing values with an estimate ob…
Development and Validation of a Foreign Language Attitude Scale
The present studies examined the validity of a new foreign language attitude scale (FLAS). One study compared the validity coefficients of the FLAS with those of ability predictors. The FLAS was correlated .25 with college foreign language (FL) grades, while being essentially orthogonal to most ability predictors. High school GPA was correlated .50 with FL grades. The correlations of FL grades with the total scores and subtest scores on the Moder…
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Development and Validation of a Foreign Language Attitude Scale
The present studies examined the validity of a new foreign language attitude scale (FLAS). One study compared the validity coefficients of the FLAS with those of ability predictors. The FLAS was correlated .25 with college foreign language (FL) grades, while being essentially orthogonal to most ability predictors. High school GPA was correlated .50 with FL grades. The correlations of FL grades with the total scores and subtest scores on the Moder…
A Comparison of Methods for Treating Incomplete Data in Selection Research
Data were simulated to conform to covariance patterns taken from the personnel selection literature. Two, six, and ten percent of the values were deleted from one of three predictor variables in sample sizes of 50, 100 and 200. Incomplete data matrices were treated by four methods: (a) elimination of cases with incomplete data records; (b) substitution of missing values with the variable mean; (c) replacement of missing values with an estimate ob…
Nominal Weights Mean Equating: A Method for Very Small Samples
The authors introduced nominal weights mean equating, a simplified version of Tucker equating, as an alternative for dealing with very small samples. The authors then conducted three simulation studies to compare nominal weights mean equating to six other equating methods under the nonequivalent groups anchor test design with sample sizes of 20, 50, and 80 examinees. Results showed that nominal weights mean equating was generally the most effecti…
Indices of Subscore Utility for Individuals and Subgroups Based on Multivariate Generalizability Theory
Conventional methods for evaluating the utility of subscores rely on traditional indices of reliability and on correlations among subscores. One limitation of correlational methods is that they do not explicitly consider variation in subtest means. An exception is an index of score profile reliability designated as [Formula: see text], which quantifies the ratio of true score profile variance to observed score profile variance. [Formula: see text…
A Monte Carlo Study of Confidence Interval Methods for Generalizability Coefficient
Computing confidence intervals around generalizability coefficients has long been a challenging task in generalizability theory. This is a serious practical problem because generalizability coefficients are often computed from designs where some facets have small sample sizes, and researchers have little guide regarding the trustworthiness of the coefficients. As generalizability theory can be framed to a linear mixed-effect model (LMM), bootstra…
Mathematics (3 works) · Statistics (3 works) · Advanced Statistical Methods and Models (2 works) · Advanced Statistical Modeling Techniques (2 works) · Econometrics (2 works) · Statistical Methods and Bayesian Inference (2 works) · Active listening (1 works) · Analysis of covariance (1 works) · Aptitude (1 works) · Communication (1 works)