ISBN: 9781462563494 - get ready for data science: a primer for social and behavioral scientists (18 Ergebnisse)

hardcover. Zustand: Very Good. Has some writing/underlining.

hardcover. Zustand: Good. Cover and edges may have some wear. Very clean, tight and square.

hardcover. Zustand: Fine.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

Zustand: New.

Hardback. Zustand: 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.…

Zustand: New.

Hardcover. Zustand: Brand New. 528 pages. 7.00x1.13x10.00 inches. In Stock.

Hardback. Zustand: 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.…

Zustand: New. 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 .

Hardcover. Zustand: Brand New. 528 pages. 7.00x1.13x10.00 inches. In Stock.

Hardback. Zustand: 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.…

Buch. Zustand: Neu. Neuware - 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 readersâEUR(TM) 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 - Chapter-opening objectives and key concepts. - End-of-chapter summaries. - Exercises with end-of-book answers. - Annotated suggested readings. - Key terms for review. …

Hardcover. Zustand: 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. …

Zustand: New. 2026. hardcover. . . . . . Books ship from the US and Ireland.

Hardback. Zustand: 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.…

Zustand: New. 2026. hardcover. . . . . .