Machine Learning for Social and Behavioral Research
Ross Jacobucci, Kevin J. Grimm, Zhiyong Zhang
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 5 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.
సంవత్సరం:
2023
ప్రచురణకర్త:
The Guilford Press
భాష:
english
పేజీల సంఖ్య:
408
ISBN 10:
1462552951
ISBN 13:
9781462552955
పుస్తక శ్రేణి:
Methodology in the Social Sciences
ఫైల్:
RAR, 10.10 MB
IPFS:
,
english, 2023
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