Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Machine Learning for Social and Behavioral Research

Machine Learning for Social and Behavioral Research

Jacobucci, Ross
Grimm, Kevin J.
Zhang, Zhiyong

Paperback

Series: Methodology in the Social Sciences

General EducationGeneral PsychologyGeneral Sociology

Currently unavailable to order

ISBN10: 1462552927
ISBN13: 9781462552924
Publisher: Guilford Pubn
Published: Jul 11 2023
Pages: 416
Weight: 1.76
Height: 0.94 Width: 6.93 Depth: 9.92
Language: English
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.

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