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Random effects model
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#	Item
71	Using School Choice Lotteries to Test Measures of School Effectiveness Add to Reading List Source URL: scholar.harvard.edu Language: English - Date: 2014-05-21 11:33:40 Econometrics Regression analysis Alternative education Charter school Instrumental variable Value-added modeling No Child Left Behind Act Random effects model Standardized test Education Teaching Education in the United States
72	NISS Variance Component Analysis of a Multi-Site Study for the Reproducibility of Multiple Reaction Monitoring Measurements of Peptides in Human Plasma Add to Reading List Source URL: www.niss.org Language: English - Date: 2011-01-31 12:32:01 Parametric statistics Statistical tests Data analysis Peptide Variance Random effects model Linear regression Mixed model Explained variation Statistics Analysis of variance Regression analysis
73	[removed]Lab 11 Turn in Sheet 11/20[removed] Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-11-15 12:57:36 Statistical methods Data analysis Probability theory Akaike information criterion Mixed model Covariance Random effects model Variance Normal distribution Statistics Analysis of variance Regression analysis
74	[removed]Lab 11 Preview Summary: Hierarchical linear (“mixed”) models work like regression or ANOVA, but correctly model correlated errors, encompassing repeated measures ANOVA and much more. This is accomplished Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-11-15 11:42:28 Econometrics Statistical methods Statistical models Correlation and dependence Fixed effects model Random effects model Mixed model SPSS Normal distribution Statistics Regression analysis Analysis of variance
75	[removed]Lab 11 Solutions 11/20[removed] Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-11-15 12:58:09 Econometrics Statistical methods Probability theory Akaike information criterion Variance Mixed model Normal distribution Random effects model Fixed effects model Statistics Analysis of variance Regression analysis
76	How should we calculate effect sizes? What are common mistakes in the calculation of effect sizes? How does research design influence the calculation of effect sizes? Add to Reading List Source URL: www.acf.hhs.gov Language: English - Date: 2012-07-16 10:23:47 Covariance and correlation Summary statistics Effect size Pharmaceutical industry Standard deviation Variance Statistical power Random effects model Standard score Statistics Hypothesis testing Data analysis
77	Package ‘metafor’ November 24, 2014 Version[removed]Date[removed]Title Meta-Analysis Package for R Depends R (>= 3.0.0) Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-11-24 10:07:27 Analysis of variance Regression analysis Estimation theory Systematic review Meta-analysis Linear regression Effect size Random effects model Publication bias Statistics Science Research methods
78	Chris Robertson, Chiara Mazzetta, Alberto D’Onofriousing the world standard population and are The age standardised rates Add to Reading List Source URL: www.iarc.fr Language: English - Date: 2012-04-27 07:12:28 Random effects model Regression analysis Empirical Bayes method Statistics Econometrics Poisson distribution
79	Journal of Educational Measurement Winter 2006, Vol. 43, No. 4, pp. 335–353 Modeling Randomness in Judging Rating Scales with a Random-Effects Rating Scale Model Wen-Chung Wang Add to Reading List Source URL: gse.berkeley.edu Language: English - Date: 2014-10-30 20:16:41 Statistical models Statistical theory Item response theory Statistical inference Polytomous Rasch model Rasch model Expectation–maximization algorithm Maximum likelihood Likelihood-ratio test Statistics Estimation theory Psychometrics
80	Knee Data - Sequential/Cumulative Random Effects Logit Models February 8, 2012 For the sequential and cumulative random effects logit models we use the knee data from ”catdata”. We load the data ”kneesequential” Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-11-11 11:39:44 Categorical data Statistical models Estimation theory Logistic regression Akaike information criterion Generalized linear mixed model Logit Mixed model Random effects model Statistics Regression analysis Analysis of variance