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Sanghyun Hong; W. Robert Reed – Research Synthesis Methods, 2024
This study builds on the simulation framework of a recent paper by Stanley and Doucouliagos ("Research Synthesis Methods" 2023;14;515--519). S&D use simulations to make the argument that meta-analyses using partial correlation coefficients (PCCs) should employ a "suboptimal" estimator of the PCC standard error when…
Descriptors: Meta Analysis, Correlation, Weighted Scores, Simulation
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Chen, Jianshen; Kaplan, David – Journal of Research on Educational Effectiveness, 2015
Bayesian alternatives to frequentist propensity score approaches have recently been proposed. However, few studies have investigated their covariate balancing properties. This article compares a recently developed two-step Bayesian propensity score approach to the frequentist approach with respect to covariate balance. The effects of different…
Descriptors: Observation, Bayesian Statistics, Case Studies, Simulation
Shin, Chingwei David; Chien, Yuehmei; Way, Walter Denny – Pearson, 2012
Content balancing is one of the most important components in the computerized adaptive testing (CAT) especially in the K to 12 large scale tests that complex constraint structure is required to cover a broad spectrum of content. The purpose of this study is to compare the weighted penalty model (WPM) and the weighted deviation method (WDM) under…
Descriptors: Computer Assisted Testing, Elementary Secondary Education, Test Content, Models
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Goldman, Robert N.; McKenzie, John D. Jr. – Teaching Statistics: An International Journal for Teachers, 2009
We explain how to simulate both univariate and bivariate raw data sets having specified values for common summary statistics. The first example illustrates how to "construct" a data set having prescribed values for the mean and the standard deviation--for a one-sample t test with a specified outcome. The second shows how to create a bivariate data…
Descriptors: Correlation, Equated Scores, Statistical Analysis, Weighted Scores
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Rotou, Ourania; Headrick, Todd C.; Elmore, Patricia B. – International Journal of Testing, 2002
Developed a hybrid procedure for number correct scoring that uses test item weights based on multidimensional item response theory and total test scores based on classical true score theory. Simulation results show that all scoring methods in the study generated estimated and true scores that were highly correlated, but the hybrid method resulted…
Descriptors: Correlation, Item Response Theory, Scoring, Simulation
Morris, John D. – 1978
Several advantages to the use of factor scores as independent variables in a multiple regression equation were found. To help select the most desirable type of factor score on which to calculate a regression equation, computer-based Monte Carlo methods were used to compare the predictive accuracy upon replication of regression of five…
Descriptors: Comparative Analysis, Correlation, Factor Analysis, Multiple Regression Analysis
McMurray, Mary Anne – 1987
This paper illustrates the transformation of a raw data matrix into a matrix of associations, and then into a factor matrix. Factor analysis attempts to distill the most important relationships among a set of variables, thereby permitting some theoretical simplification. In this heuristic data, a correlation matrix was derived to display…
Descriptors: Correlation, Factor Analysis, Factor Structure, Goodness of Fit