9781462552931 - machine learning for social and behavioral research di jacobucci, ross; grimm, kevin j.; zhang, zhiyong (15 risultati)
Lingua: Inglese
Editore: The Guilford Press, 2023
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Editore: Guilford Publications, 2023
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- Altre immagini
Lingua: Inglese
Editore: The Guilford Press, 2023
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Editore: The Guilford Press, 2023
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Condizione: New. 1st edition NO-PA16APR2015-KAP.
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Lingua: Inglese
Editore: Guilford Publications, New York, 2023
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Hardcover. Condizione: 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 dem…onstrated 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.
Lingua: Inglese
Editore: Guilford Pubn, 2023
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Hardcover. Condizione: Brand New. 416 pages. 10.00x7.00x1.25 inches. In Stock.
Lingua: Inglese
Editore: The Guilford Press, 2023
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Condizione: New.
Lingua: Inglese
Editore: Guilford Publications, 2023
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Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.
- Altre immagini
Machine Learning for Social and Behavioral Research
Ross Jacobucci|Kevin J. Grimm (Arizona State University, United States)|Zhiyong Zhang
Lingua: Inglese
Editore: Guilford Publications, 2023
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Ross Jacobucci, PhD, is Assistant Professor in Quantitative Psychology in the Department of Psychology at the University of Notre Dame. His research interests include the development and application of machine learning for clinical research, with a focus.
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Lingua: Inglese
Editore: Guilford Publications, New York, 2023
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Hardcover. Condizione: 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 dem…onstrated 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Lingua: Inglese
Editore: Guilford Publications, New York, 2023
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Hardcover. Condizione: 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 dem…onstrated 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
