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Statistics in the social and behavioral sciences series

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Statistics in the social and behavioral sciences series

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Chapman & Hall/CRC
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Related materials as well as pre- and post-revision versions

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Table of Contents

  • Applied survey data analysis

  • Bayesian psychometric modeling

  • Statistical studies of income, poverty and inequality in Europe : computing and graphics in R using EU-SILC

  • Handbook of International large-scale assessment : background, technical issues, and methods of data analysis

  • Multilevel modeling using R

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Material Type
図書
Publication, Distribution, etc.
Alternative Title
Chapman & Hall/CRC statistics in the social and behavioral sciences series
Place of Publication (Country Code)
us
Target Audience
一般
Related Material
Applied survey data analysis
Bayesian psychometric modeling
Statistical studies of income, poverty and inequality in Europe : computing and graphics in R using EU-SILC
Handbook of International large-scale assessment : background, technical issues, and methods of data analysis
Multilevel modeling using R
Bayesian demographic estimation and forecasting
Bayesian methods : a social and behavioral sciences approach
Informative hypotheses : theory and practice for behavioral and social scientists
Generalized linear models for categorical and continuous limited dependent variables
Foundations of factor analysis
Analyzing spatial models of choice and judgment with R
Multilevel modeling using Mplus
Linear causal modeling with structural equations
Generalized structured component analysis : a component-based approach to structural equation modeling
Applied survey data analysis
Multilevel modeling using R
Multivariable modeling and multivariate analysis for the behavioral sciences
Big data and social science : a practical guide to methods and tools
Introduction to R for social scientists : a tidy programming approach
Introduction to R for social scientists : a tidy programming approach
An introduction to the Rasch model with examples in R
Handbook of automated scoring : theory into practice
Regression analysis in R : a comprehensive view for the social sciences
Modern applied regressions : Bayesian and frequentist analysis of categorical and limited response variables with R and Stan
Interviewer effects from a total survey error perspective
Crime mapping and spatial data analysis using R
Handbook of item response theory
Handbook of item response theory
Analysis of multivariate social science data
Multiple correspondence analysis and related methods
Age-period-cohort models : approaches and analyses with aggregate data
Ordered regression models : parallel, partial, and non-parallel alternatives
Adaptive survey design
Statistical test theory for the behavioral sciences
Big data and social science : a practical guide to methods and tools
Incomplete categorical data design : non-randomized response techniques for sensitive questions in surveys
Bayesian methods : a social and behavioral sciences approach
Computerized multistage testing : theory and applications
Latent Markov models for longitudinal data
Modelling spatial and spatial-temporal data : a Bayesian approach
Big data and social science : data science methods and tools for research and practice
Big data and social science : data science methods and tools for research and practice
Mixed-mode official surveys : design and analysis
Age-period-cohort models : approaches and analyses with aggregate data
Linear regression models : applications in R
Measurement models for psychological attributes
Multilevel modeling using R
Linear regression models : applications in R
Handbook of item response theory
Handbook of automated scoring theory into practice
Understanding elections through statistics : polling, prediction, and testing
Measurement models for psychological attributes
Analyzing spatial models of choice and judgment
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