Machine Learning for Social and Behavioral Research

By Kevin J. Grimm, Ross Jacobucci, Zhiyong Zhang | Publisher: Guilford Publications

About the book

Today's social and behavioral researchers increasingly need to know: \"What do I do with all this data?\" This book provides the skills needed to analyze and report large, complex data sets using machine learning tools, and to understand published machine learning articles. Techniques are demonstrated using actual data (Big Five Inventory, early childhood learning, and more), with a focus on the interplay of statistical algorithm, data, and theory. The identification of heterogeneity, measurement error, regularization, and decision trees are also emphasized. The book covers basic principles as well as a range of methods for analyzing univariate and multivariate data (factor analysis, structural equation models, and mixed-effects models). Analysis of text and social network data is also addressed. End-of-chapter \"Computational Time and Resources\" sections include discussions of key R packages; the companion website provides R programming scripts and data for the book's examples.

Editions of Machine Learning for Social and Behavioral Research

Paperback
ISBN 9781462552924
PDF
ISBN 9781462552948

Read an Excerpt

Today's social and behavioral researchers increasingly need to know: \"What do I do with all this data?\" This book provides the skills needed to analyze and report large, complex data sets using machine learning tools, and to understand published machine learning articles. Techniques are demonstrated using actual data (Big Five Inventory, early childhood learning, and more), with a focus on the interplay of statistical algorithm, data, and theory. The identification of heterogeneity, measurement error, regularization, and decision trees are also emphasized. The book covers basic principles as well as a range of methods for analyzing univariate and multivariate data (factor analysis, structural equation models, and mixed-effects models). Analysis of text and social network data is also addressed. End-of-chapter \"Computational Time and Resources\" sections include discussions of key R packages; the companion website provides R programming scripts and data for the book's examples.

Frequently Asked Questions

What is Machine Learning for Social and Behavioral Research about?

Today's social and behavioral researchers increasingly need to know: \"What do I do with all this data?\" This book provides the skills needed to analyze and report large, complex data sets using machine learning tools, and to understand published machine learning articles. Techniques are demonstrated using actual data (Big Five Inventory, early childhood learning, and more), with a focus on the interplay of statistical algorithm, data, and theory. The identification of heterogeneity, measurement error, regularization, and decision trees are also emphasized. The book covers basic principles as well as a range of methods for analyzing univariate and multivariate data (factor analysis, structural equation models, and mixed-effects models). Analysis of text and social network data is also addressed. End-of-chapter \"Computational Time and Resources\" sections include discussions of key R packages; the companion website provides R programming scripts and data for the book's examples.

What core themes, tropes, or subjects are explored in Machine Learning for Social and Behavioral Research?

Society and Social Sciences > Sociology and anthropology > Sociology > Social research and statistics

Where can I read a sample of Machine Learning for Social and Behavioral Research?

You can read an official preview of the few pages here https://www.book2look.com/book/9781462552924

Is Machine Learning for Social and Behavioral Research part of a series, and can it be read as a standalone?

Yes it is a part of series Methodology in the Social Sciences Series

Who is/are the Author/s of the book Machine Learning for Social and Behavioral Research?

Kevin J. Grimm, Ross Jacobucci, Zhiyong Zhang

Who is the Publisher of the book Machine Learning for Social and Behavioral Research?

Guilford Publications

What are the ISBN numbers for the physical and digital editions?

Machine Learning for Social and Behavioral Research is available as paperback(ISBN 9781462552924) and pdf(ISBN 9781462552948)

Where can I buy Machine Learning for Social and Behavioral Research online or support local independent bookshops?

You can buy Machine Learning for Social and Behavioral Research from below

Where can I buy Machine Learning for Social and Behavioral Research?