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Introduction to Analyzing NCES Data Using EdSurvey1 years ago
Overview of the EdSurvey Package | Brief demo | International data | Book | Publications
EdSurvey 4.1.0Developed by Paul Bailey, Charles Blankenship, Eric Buehler, Ren C'deBaca, Nancy Collins, Ahmad Emad, Thomas Fink, Huade Huo, Frank Fonseca, Julian Gerez, Sun-joo Lee, Michael Lee, Jiayi Li, Yuqi Liao, Alex Lishinski, Thanh Mai, Trang Nguyen, Emmanuel Sikali, Qingshu Xie, Sinan Yavuz, Jiao Yu, and Ting Zhangintroduction.Rmd
wCorr Formulas3 years ago
Specification of estimation formulas | Formulas for Pearson correlations with and without weights | Formulas for Spearman correlations with and without weights | Simulation study of unweighted correlations | Bias, and RMSE of the unweighted correlations | Consistency of the correlations | Computing Time | Simulation study of weighted correlations | Appendix Proof of consistency of Horvitz-Thompson (HT) estimator of a mean
wCorr 1.9.7Paul Bailey, Ahmad Emad, Ting Zhang, Qingshu XiewCorrFormulas.Rmd
wCorr Arguments3 years ago
The ML switch | Computation of polyserial correlation | Computation of polychoric correlation | Simulation study | General procedures of the simulation study of unweighted correlations | ML switch | fast switch | Implications for speed
wCorr 1.9.7Paul Bailey, Ahmad Emad, Ting Zhang, Qingshu XiewCorrArguments.Rmd
Weighted Marginal Maximum Likelihood Regression Estimation3 years ago
Parameter Estimation | Composite Score Estimation | Variance Estimation | Univariate degrees of freedom | Composite Score Variances | Composite degrees of freedom | References | Appendix. Test Probability Density Functions
Dire 3.0.0Developed by Paul Bailey and Harold Doran\footnote{This publication was prepared for NCES under Contract No. ED-IES-12-D-0002 with the American Institutes for Research. Mention of trade names, commercial products, or organizations does not imply endorsement by the U.S. Government.}MML.Rmd
Introduction to Weighted Mixed-Effects Models With WeMix5 years ago
Introduction | Installing and Loading \texttt | Specifying a Mixed-Effects Model | Comparison to Alternate Software | Mathematical Specification | Hierarchical Linear Models Notation | Multiple Levels | Cluster-Robust Variance Estimation | Hierarchical Generalized Linear Models | Binomial With Logit Link Function | Weight Adjustments | Centering | References | Appendix A. Binomial Model Fitting | Adaptive Gauss-Hermite Quadrature | Calculation of Conditional Mode | Estimate of the Conditional Means | Appendix B. Alternative Software Specifications | Stata: GLLAMM | Stata: mixed | SAS PROC GLIMMIX | HLM | M+ | Appendix C. Example Data Preparation
WeMix 4.0.4Developed by Paul Bailey, Claire Kelley, and Trang Nguyen\footnote{This publication was prepared for NCES under Contract No. ED-IES-12-D-0002 with the American Institutes for Research. Mention of trade names, commercial products, or organizations does not imply endorsement by the U.S. government.} \footnote{The authors would like to thank Mike Cohen and Dan Sherman for reviewing this document, and Yuqi Liao, Bitnara Park, and Jiayi Li for their help using mixed models in other software packages.}Introduction_to_Mixed_Effects_Models_With_WeMix.Rmd
Weighted Linear Mixed-Effects Models5 years ago
Introduction | Variance Estimation | Model Evaluation: Wald Test | References
WeMix 4.0.4Developed by Paul Bailey\footnote{This publication was prepared for NCES (National Center for Education Statistics) under Contract No. ED-IES-12-D-0002 with American Institutes for Research. Mention of trade names, commercial products, or organizations does not imply endorsement by the U.S. government.} \footnote{The authors would like to thank Mike Cohen for reviewing this document.}Weighted_Linear_Mixed_Effects_Models.Rmd