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The Routledge Reviewer's Guide to Mixed Methods Analysis

scaling of qualitative data); Part II Qualitative Approaches to Quantitative Data (e.g., qualitizing data, mixed methodological discourse analysis;

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The Routledge Reviewer's Guide to Mixed Methods Analysis

scaling of qualitative data); Part II Qualitative Approaches to Quantitative Data (e.g., qualitizing data, mixed methodological discourse analysis;

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Analysis of Mixed Data

A comprehensive source on mixed data analysis, Analysis of Mixed Data: Methods & Applications summarizes the fundamental developments;

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Analysis of Mixed Data

A comprehensive source on mixed data analysis, Analysis of Mixed Data: Methods & Applications summarizes the fundamental developments;

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Handbook of Mixed Membership Models and Their Applications

individual data points as belonging to multiple groups. Handbook of Mixed Membership Models and Their Applications shows you how to use these;

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Handbook of Mixed Membership Models and Their Applications

individual data points as belonging to multiple groups. Handbook of Mixed Membership Models and Their Applications shows you how to use these;

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Linear Mixed Models for Longitudinal Data

This book provides a comprehensive treatment of linear mixed models for continuous longitudinal data. Next to model formulation, this;

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Mixed Effects Models for Complex Data

semiparametric and nonparametric mixed effects models. It also includes general approaches for the analysis of complex data with missing values;

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Mixed Effects Models for Complex Data

semiparametric and nonparametric mixed effects models. It also includes general approaches for the analysis of complex data with missing values;

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Integrating Analyses in Mixed Methods Research

This book goes beyond mixed methods research design and data collection to provide a pragmatic discussion of the challenges of effectively;

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Integrating Analyses in Mixed Methods Research

This book goes beyond mixed methods research design and data collection to provide a pragmatic discussion of the challenges of effectively;

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Applied Mixed Model Analysis

of mixed models, such as the study of group differences, longitudinal data analysis, multivariate mixed model analysis, IPD meta-analysis, and;

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Applied Mixed Model Analysis

of mixed models, such as the study of group differences, longitudinal data analysis, multivariate mixed model analysis, IPD meta-analysis, and;

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Linear and Generalized Linear Mixed Models and Their Applications

who are interested in using mixed models for statistical data analysis.;

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Linear and Generalized Linear Mixed Models and Their Applications

who are interested in using mixed models for statistical data analysis.;

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Advances in Intelligent Data Analysis X

from multiple sources; data processing, including workflows, mixed-initiative data analysis, and planning; data and information fusion;

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Statistical Tests for Mixed Linear Models

treatment for these models at an advanced level. Statistical Tests for Mixed Linear Models:* Combines analysis and testing in one self-contained;

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Mixed-Effects Models in S and S-PLUS

An overview of the theory and application of linear and nonlinear mixed-effects models in the analysis of grouped data, such as;

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Mixed-Effects Models in S and S-PLUS

An overview of the theory and application of linear and nonlinear mixed-effects models in the analysis of grouped data, such as;

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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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Qualitative and Mixed Methods Data Analysis Using Dedoose

Qualitative and Mixed Methods Data Analysis Using Dedoose (R): A Practical Approach for Research Across the Social Sciences provides both;

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Foundations of Mixed Methods Research

research design and data collection through to analysis and conclusions.;

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Applied Mixed Models In Medicine

A mixed model allows the incorporation of both fixed and random variables within a statistical analysis. This enables efficient inferences;

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Systematic Mixed-Methods Research for Social Scientists

explains the analysis stage in mixed-methods research, interprets complex causality, shows how to transform data, and helps with interpreting;

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SAS for Mixed Models, Second Edition

featuring the MIXED, GLIMMIX, and NLMIXED procedures in this valuable edition of the comprehensive mixed models guide for data analysis, completely;

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Modelling Binary Data

developments have emerged, accompanied by the steady growth of statistical computing. Mixed models for binary data analysis and procedures that lead to;

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Modelling Binary Data

developments have emerged, accompanied by the steady growth of statistical computing. Mixed models for binary data analysis and procedures that lead to;

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