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Bayesian Item Response Modeling

motives for writing this book is to give an introduction to the Bayesian methodology for modeling and analyzing item response data. A Bayesian;

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Bayesian Psychometric Modeling

analysis, item response theory, latent class analysis, and Bayesian networks. Throughout the book, procedures are illustrated using examples;

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Bayesian Psychometric Modeling

theory, factor analysis, item response theory, latent class analysis, and Bayesian networks. Throughout the book, procedures are illustrated;

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Using R for Item Response Theory Model Applications

Item response theory (IRT) is widely used in education and psychology and is expanding its applications to other social science areas;

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Using R for Item Response Theory Model Applications

Item response theory (IRT) is widely used in education and psychology and is expanding its applications to other social science areas;

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A Course in Item Response Theory and Modeling with Stata

Over the past several decades, item response theory (IRT) and item response modeling (IRM) have become increasingly popular in the;

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Handbook of Item Response

Drawing on the work of internationally acclaimed experts in the field, Handbook of Item Response Theory, Volume 3: Applications presents;

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Handbook of Item Response Theory: Volume 3

Drawing on the work of internationally acclaimed experts in the field, Handbook of Item Response Theory, Volume 3: Applications presents;

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Exposure-Response Modeling

also covers Bayesian analysis and model-based Bayesian decision analysis, causal inference to eliminate confounding biases, and exposure;

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Exposure-Response Modeling

also covers Bayesian analysis and model-based Bayesian decision analysis, causal inference to eliminate confounding biases, and exposure;

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Handbook of Item Response Theory: Volume 2

Drawing on the work of internationally acclaimed experts in the field, Handbook of Item Response Theory, Volume Two: Statistical Tools;

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Handbook of Item Response

Drawing on the work of internationally acclaimed experts in the field, Handbook of Item Response Theory, Volume Two: Statistical Tools;

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Handbook of Item Response Theory: Volume 1

Drawing on the work of internationally acclaimed experts in the field, Handbook of Item Response Theory, Volume One: Models presents all;

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Handbook of Item Response

Drawing on the work of internationally acclaimed experts in the field, Handbook of Item Response Theory, Volume One: Models presents all;

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Fundamentals Of Item Response Theory

Using familiar concepts from classical measurement methods and basic statistics, Hambleton and colleagues introduce the basics of item;

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A Generalized Framework for Item Response Models

This advanced textbook goes beyond the current limits of item response modeling to enhance understanding and help readers be more creative;

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Bayesian Analysis in Natural Language Processing

of evolution took place in the late 1990s or early 2000s, when full-fledged Bayesian machinery was introduced to NLP. This Bayesian approach to NLP has;

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Structural Equation Modeling

, along with updates on many advanced methods, including confirmatory factor analysis (CFA) with categorical items, bifactor model, Bayesian CFA;

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Bayesian Modeling Using WinBUGS

A hands-on introduction to the principles of Bayesian modeling using WinBUGS Bayesian Modeling Using WinBUGS provides an easily accessible;

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Multidimensional Item Response Theory

years, multidimensional item response theory (MIRT) has become a burgeoning topic in psychological and educational measurement. Considered a;

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Essential Bayesian Models

This accessible reference includes selected contributions from Bayesian Thinking - Modeling and Computation, Volume 25 in the Handbook;

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Uncertainty Modeling in Dose Response

various approaches, including Benchmark Dose Software methods, probabilistic inversion with isotonic regression, nonparametric Bayesian modeling;

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Categorical Data Analysis and Multilevel Modeling Using R

modeling of categorical and count response variables with both frequentist and Bayesian approaches. Each chapter demonstrates how to conduct the;

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Stevens' Handbook of Experimental Psychology

; convergent methods of memory research; theories for discriminating signal from noise; bayesian cognitive modeling; mathematical modeling in cognition;

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Introduction to Hierarchical Bayesian Modeling for Ecological Data

Making statistical modeling and inference more accessible to ecologists and related scientists, Introduction to Hierarchical Bayesian;

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Introduction to Hierarchical Bayesian Modeling for Ecological Data

Making statistical modeling and inference more accessible to ecologists and related scientists, Introduction to Hierarchical Bayesian;

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The Basics of Item Response Theory Using R

This graduate-level textbook is a tutorial for item response theory that covers both the basics of item response theory and the use of R;

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