Machine Learning For Social And Behavioral Research
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Machine Learning for Social and Behavioral Research
Author: Ross Jacobucci
language: en
Publisher: Guilford Publications
Release Date: 2023-07-17
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.
Machine Learning for Social and Behavioral Research
Author: Ross Jacobucci
language: en
Publisher: Guilford Publications
Release Date: 2023-05-30
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.
Leading Edges in Social and Behavioral Science
Author: R. Duncan Luce
language: en
Publisher: Russell Sage Foundation
Release Date: 1990-02-01
The reach of the social and behavioral sciences is currently so broad and interdisciplinary that staying abreast of developments has become a daunting task. The thirty papers that constitute Leading Edges in Social and Behavioral Science provide a unique composite picture of recent findings and promising new research opportunities within most areas of social and behavioral research. Prepared by expert scholars under the auspices of the National Academy of Sciences, these timely and well-documented reports define research priorities for an impressive range of topics: Part I: Mind and Brain Part II: Behavior in Social Context Part III: Choice and Allocation Part IV: Evolving Institutions Part V: Societies and International Orders Part VI: Data and Analysis