Filling a key need, this book provides a gateway to modern data analytics written expressly for social researchers and students. Rex B. Kline builds on readers’ statistical strengths and fills in the gaps from their traditional training. Chapters on programming, data visualization, big data, and supervised and unsupervised machine learning emphasize concepts over equations and feature rich graphics, including 11 color plates. Throughout, worked-through examples with real and simulated data, along with detailed interpretation of the R code and output, prepare readers to apply the techniques. Kline also provides pointers on the pitfalls and advantages of different statistical and data science techniques and explores incorrect interpretations. The companion website supplies R-generated syntax, output, and graphics files for the book's examples; complete data sets; chapter appendices with explanations of the syntax files; and primers on bivariate and multiple regression fundamentals, standard errors and classical significance tests, and data screening and preparation.
Pedagogical Features
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Rex B. Kline, PhD, is Professor of Psychology at Concordia University in Montréal, Québec, Canada. Since earning a doctorate in clinical psychology, Dr. Kline has conducted research on the psychometric evaluation of cognitive abilities, behavioral and scholastic assessment of children, structural equation modeling, training of researchers, statistics reform in the behavioral sciences, and usability engineering in computer science. He has published a number of chapters, journal articles, and books in these areas.
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Da: Books From California, Simi Valley, CA, U.S.A.
hardcover. Condizione: Very Good. Has some writing/underlining. Codice articolo mon0004276173
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Da: Books From California, Simi Valley, CA, U.S.A.
hardcover. Condizione: Good. Cover and edges may have some wear. Very clean, tight and square. Codice articolo mon0004215002
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Da: Books From California, Simi Valley, CA, U.S.A.
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Da: PBShop.store UK, Fairford, GLOS, Regno Unito
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. Filling a key need, this book provides a gateway to modern data analytics written expressly for social researchers and students. Rex B. Kline builds on readersa statistical strengths and fills in the gaps from their traditional training. Chapters on programming, data visualization, big data, and supervised and unsupervised machine learning emphasize concepts over equations and feature rich graphics, including 11 color plates. Throughout, worked-through examples with real and simulated data, along with detailed interpretation of the R code and output, prepare readers to apply the techniques. Kline also provides pointers on the pitfalls and advantages of different statistical and data science techniques and explores incorrect interpretations. The companion website supplies R-generated syntax, output, and graphics files for the book's examples; complete data sets; chapter appendices with explanations of the syntax files; and primers on bivariate and multiple regression fundamentals, standard errors and classical significance tests, and data screening and preparation.Pedagogical FeaturesChapter-opening objectives and key concepts.End-of-chapter summaries.Exercises with end-of-book answers.Annotated suggested readings.Key terms for review. Filling a key need, this book provides a gateway to modern data analytics written expressly for social researchers and students. Rex B. Kline builds on readersa statistical strengths and fills in the gaps from their traditional training. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781462563494
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Da: Rarewaves USA, HEBRON, KY, U.S.A.
Hardback. Condizione: New. Filling a key need, this book provides a gateway to modern data analytics written expressly for social researchers and students. Rex B. Kline builds on readersâ?T statistical strengths and fills in the gaps from their traditional training. Chapters on programming, data visualization, big data, and supervised and unsupervised machine learning emphasize concepts over equations and feature rich graphics, including 11 color plates. Throughout, worked-through examples with real and simulated data, along with detailed interpretation of the R code and output, prepare readers to apply the techniques. Kline also provides pointers on the pitfalls and advantages of different statistical and data science techniques and explores incorrect interpretations. The companion website supplies R-generated syntax, output, and graphics files for the book's examples; complete data sets; chapter appendices with explanations of the syntax files; and primers on bivariate and multiple regression fundamentals, standard errors and classical significance tests, and data screening and preparation.Pedagogical FeaturesChapter-opening objectives and key concepts.End-of-chapter summaries.Exercises with end-of-book answers.Annotated suggested readings.Key terms for review. Codice articolo LU-9781462563494
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