Computational Aspects of Psychometric Methods : With R
Patricia (Sr. researcher, Institute Comp. Sci, Czech Acade Martinkova
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Add to BasketComputational Aspects of Psychometric Methods : With R
Patricia Martinkova
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Computational Aspects of Psychometric Methods : With R
Patricia Martinkova
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Modern Applied Regressions : Bayesian and Frequentist Analysis of Categorical and Limited Response Variables with R and Stan
Jun Xu
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Modern Applied Regressions : Bayesian and Frequentist Analysis of Categorical and Limited Response Variables with R and Stan
Jun Xu
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Intensive Longitudinal Analysis of Human Processes
Kathleen M. Gates
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Modelling Spatial and Spatial-Temporal Data : A Bayesian Approach
Robert P. Haining
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The Psychometrics of Standard Setting : Connecting Policy and Test Scores
Mark Reckase
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Mixed-Mode Official Surveys : Design and Analysis
Barry (Statistics Netherlands, The Hague, The Netherlands) Schouten
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Regression Analysis in R : A Comprehensive View for the Social Sciences
Jocelyn E. (Ball State University, Department of Educational Ps Bolin
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Add to BasketApplied Regularization Methods for the Social Sciences
Holmes Finch
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Add to BasketAnalyzing Spatial Models of Choice and Judgment
David A., II (University of Western Ontario) Armstrong
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Add to BasketMultivariate Analysis for the Behavioral Sciences, Second Edition
Kimmo Vehkalahti
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Add to BasketCrime Mapping and Spatial Data Analysis using R
Juan Medina Ariza
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Add to BasketApplied Survey Data Analysis
Steven G. (University of Michigan) Heeringa
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Add to BasketUnderstanding Elections through Statistics : Polling, Prediction, and Testing
Ole J. Forsberg
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Understanding Elections through Statistics : Polling, Prediction, and Testing
Ole J. Forsberg
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Big Data and Social Science : Data Science Methods and Tools for Research and Practice
Ian (University of Chicago, Illinois, USA) Foster
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Big Data and Social Science : Data Science Methods and Tools for Research and Practice
Ian (University of Chicago, Illinois, USA) Foster
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Introduction to R for Social Scientists : A Tidy Programming Approach
Ryan Kennedy
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Introduction to R for Social Scientists : A Tidy Programming Approach
Ryan Kennedy
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