Machine Learning for Social and Behavioral Research (Methodology in the Social Sciences Series) - Hardcover
- PublisherThe Guilford Press
- Publication date2023
- ISBN 10 1462552935
- ISBN 13 9781462552931
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages416
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Machine Learning for Social and Behavioral Research (Hardcover)
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Guilford Publications, New York, 2023
ISBN 10: 1462552935
ISBN 13: 9781462552931
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Hardcover
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Hardcover. Condition: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781462552931
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Machine Learning for Social and Behavioral Research (Methodology in the Social Sciences Series)
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