Multilevel Modeling Using R
W. Holmes (Ball State University, USA) Finch
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Multilevel Modeling Using R
W. Holmes (Ball State University, USA) Finch
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Mixed-Mode Official Surveys : Design and Analysis
Barry (Statistics Netherlands, The Hague, The Netherlands) Schouten
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Generalized Linear Models for Categorical and Continuous Limited Dependent Variables
Michael Smithson
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Interviewer Effects from a Total Survey Error Perspective
Kristen Olson
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Multivariate Analysis for the Behavioral Sciences, Second Edition
Kimmo Vehkalahti
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Statistical Studies of Income, Poverty and Inequality in Europe : Computing and Graphics in R using EU-SILC
Nicholas T. Longford
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Interviewer Effects from a Total Survey Error Perspective
Kristen Olson
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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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Applied Regularization Methods for the Social Sciences
Holmes Finch
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Applied Regularization Methods for the Social Sciences
Holmes Finch
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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 : A Bayesian Approach
Robert P. Haining
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Mixed-Mode Official Surveys : Design and Analysis
Barry (Statistics Netherlands, The Hague, The Netherlands) Schouten
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Analysis of Integrated Data
Li-Chun (Department of Social Statistics, University of Southam Zhang
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Applied Survey Data Analysis
Steven G. (University of Michigan) Heeringa
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