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Multiple Correspondence Analysis and Related Methods

, more complex datasets, including the high-dimensional categorical data often encountered in the social sciences, marketing, health economics;

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Correspondence Analysis in Practice

, multiple CA and joint CA, translate two-way and multi-way tables into more readable graphical forms - ideal for applications in the social;

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Correspondence Analysis in Practice

, multiple CA and joint CA, translate two-way and multi-way tables into more readable graphical forms - ideal for applications in the social;

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Multiple Correspondence Analysis for the Social Sciences

construction of typologies and to group internal oppositions. This is a book on data analysis for the social sciences rather than a book on;

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Multiple Correspondence Analysis for the Social Sciences

construction of typologies and to group internal oppositions. This is a book on data analysis for the social sciences rather than a book on;

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Correspondence Analysis in the Social Sciences

Correspondence Analysis in the Social Sciences gives a comprehensive description of this method of data visualization as well as;

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An Introduction to Correspondence Analysis

of correspondence analysis that can be applied to two-way contingency tables for nominal categories of variables. Part Two shifts the discussion to;

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Textual Data Science with R

is illuminated by applications. The book is aimed at researchers and students in statistics, social sciences, hiistory, literature and linguistics. The;

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Textual Data Science with R

is illuminated by applications. The book is aimed at researchers and students in statistics, social sciences, hiistory, literature and linguistics. The;

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Time Series Analysis in the Social Sciences

Times Series Analysis in the Social Sciences is a practical and highly readable introduction written exclusively for students and;

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Time Series Analysis in the Social Sciences

Times Series Analysis in the Social Sciences is a practical and highly readable introduction written exclusively for students and;

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Multivariate Analysis for the Behavioral Sciences, Second Edition

Multivariate Analysis for the Behavioral Sciences, Second Edition is designed to show how a variety of statistical methods can be used to;

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Multivariate Analysis for the Behavioral Sciences, Second Edition

Multivariate Analysis for the Behavioral Sciences, Second Edition is designed to show how a variety of statistical methods can be used to;

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Data Analysis For Research Designs

Data Analysis for Research Designs covers the analytical techniques for the analysis of variance (ANOVA) and multiple regression;

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Correspondence Analysis

comprehensive international perspective on the key developments of correspondence analysis. * Discussion of correspondence analysis for nominal and;

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Handbook of Meta-Analysis

Meta-analysis is the application of statistics to combine results from multiple studies and draw appropriate inferences. Its use and;

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Applied Multivariate Statistical Analysis - Summaries of theory and Exercises solved

Applied Multivariate Statistical Analysis, is a book that is intended for university students of any college. You'll find theory as;

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Structural Analysis in the Social Sciences

, skill and tools to apply social network analysis across the social sciences, from anthropology and sociology to business administration and;

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Statistics for Psychology Using R

software for statistical computing and data analysis, which is becoming increasingly popular across social and behavioral sciences.;

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Applied Multivariate Research

This book provides full coverage of the wide range of multivariate topics that graduate students across the social and behavioral sciences;

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Changing Sociocultural Dynamics and Implications for National Security

information for the Decadal Survey of Social and Behavioral Sciences for Applications to National Security. The first workshop focused on changing;

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Capture-Recapture Methods for the Social and Medical Sciences

users, or people with a drinking problem. Capture-Recapture Methods for the Social and Medical Sciences brings together important developments;

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Capture-Recapture Methods for the Social and Medical Sciences

users, or people with a drinking problem. Capture-Recapture Methods for the Social and Medical Sciences brings together important developments;

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Spatial Analysis for the Social Sciences

models that incorporate spatial heterogeneity in the effects of covariates. Spatial Analysis for the Social Sciences also examines advanced;

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Spatial Analysis for the Social Sciences

models that incorporate spatial heterogeneity in the effects of covariates. Spatial Analysis for the Social Sciences also examines advanced;

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Multivariate Analysis for the Biobehavioral and Social Sciences

the Biobehavioral and Social Sciences: A Graphical Approach outlines the essential multivariate methods for understanding data in the social;

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Multiple Factor Analysis by Example Using R

multiple correspondence analysis (MCA). The next chapter discusses factor analysis for mixed data (FAMD), a little-known method for simultaneously;

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