Data Analytics Social Sciences by Garson David (31 results)

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  • Language: English

    Published by Routledge, 2021

    0367624273 / 9780367624279

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    Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

  • Language: English

    Published by Routledge, 2021

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  • Language: English

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  • Language: English

    Published by Routledge, 2021

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  • Language: English

    Published by Taylor & Francis Ltd, 2021

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  • Language: English

    Published by Taylor & Francis Group, 2021

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  • Language: English

    Published by Routledge, 2021

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  • Language: English

    Published by Routledge, 2021

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  • Language: English

    Published by Routledge, 2021

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  • Language: English

    Published by Routledge 2021-11-30, 2021

    0367624273 / 9780367624279

    • Softcover

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  • Language: English

    Published by Taylor & Francis Group, 2021

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  • Language: English

    Published by Taylor & Francis Ltd, 2021

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    Condition: New. 2021. 1st Edition. Paperback. . . . . .

  • Language: English

    Published by Routledge, 2021

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    • Softcover

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    Condition: New. In English.

  • Language: English

    Published by Taylor & Francis Group, 2021

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    • Softcover

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  • Language: English

    Published by Taylor and Francis Ltd, GB, 2021

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    • Softcover

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    Paperback. Condition: New. Data Analytics for the Social Sciences is an introductory, graduate-level treatment of data analytics for social science. It features applications in the R language, arguably the fastest growing and leading statistical tool for researchers. The book starts with an ethics chapter on the uses and potential abuses of data analytics. Chapters 2 and 3 show how to implement a broad range of statistical procedures in R. Chapters 4 and 5 deal with regression and classification trees and with random forests. Chapter 6 deals with machine learning models and the "caret" package, which makes available to the researcher hundreds of models. Chapter 7 deals with neural network analysis, and Chapter 8 deals with network analysis and visualization of network data. A final chapter treats text analysis, including web scraping, comparative word frequency tables, word clouds, word maps, sentiment analysis, topic analysis, and more. All empirical chapters have two "Quick Start" exercises designed to allow quick immersion in chapter topics, followed by "In Depth" coverage. Data are available for all examples and runnable R code is provided in a "Command Summary". An appendix provides an extended tutorial on R and RStudio. Almost 30 online supplements provide information for the complete book, "books within the book" on a variety of topics, such as agent-based modeling. Rather than focusing on equations, derivations, and proofs, this book emphasizes hands-on obtaining of output for various social science models and how to interpret the output. It is suitable for all advanced level undergraduate and graduate students learning statistical data analysis.…

  • Language: English

    Published by Taylor & Francis Ltd, 2021

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    • Softcover

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    Condition: New. 2021. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.

  • Language: English

    Published by Routledge, 2021

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    • Softcover

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    Paperback. Condition: Brand New. 686 pages. 10.75x8.25x1.25 inches. In Stock.

  • Language: English

    Published by Taylor and Francis Ltd, GB, 2021

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    • Softcover

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    Paperback. Condition: New. Data Analytics for the Social Sciences is an introductory, graduate-level treatment of data analytics for social science. It features applications in the R language, arguably the fastest growing and leading statistical tool for researchers. The book starts with an ethics chapter on the uses and potential abuses of data analytics. Chapters 2 and 3 show how to implement a broad range of statistical procedures in R. Chapters 4 and 5 deal with regression and classification trees and with random forests. Chapter 6 deals with machine learning models and the "caret" package, which makes available to the researcher hundreds of models. Chapter 7 deals with neural network analysis, and Chapter 8 deals with network analysis and visualization of network data. A final chapter treats text analysis, including web scraping, comparative word frequency tables, word clouds, word maps, sentiment analysis, topic analysis, and more. All empirical chapters have two "Quick Start" exercises designed to allow quick immersion in chapter topics, followed by "In Depth" coverage. Data are available for all examples and runnable R code is provided in a "Command Summary". An appendix provides an extended tutorial on R and RStudio. Almost 30 online supplements provide information for the complete book, "books within the book" on a variety of topics, such as agent-based modeling. Rather than focusing on equations, derivations, and proofs, this book emphasizes hands-on obtaining of output for various social science models and how to interpret the output. It is suitable for all advanced level undergraduate and graduate students learning statistical data analysis.…

  • Language: English

    Published by Routledge, 2021

    036762429X / 9780367624293

    • Hardcover

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  • Language: English

    Published by Routledge, 2021

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  • Language: English

    Published by Routledge, 2021

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  • Language: English

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  • Language: English

    Published by Routledge, 2021

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  • Language: English

    Published by Taylor & Francis, 2021

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    Gebunden. Condition: New. G. David Garson teaches advanced research methodology in the School of Public and International Affairs, North Carolina State University, USA. Founder and longtime editor emeritus of the Social Science Computer Review, he is presi.

  • Language: English

    Published by Routledge, 2021

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  • Language: English

    Published by Routledge, 2021

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  • Language: English

    Published by Taylor & Francis Ltd Nov 2021, 2021

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    Buch. Condition: Neu. Neuware - This book presents a complete exploration of statistical data analysis in R for a wide variety of social science disciplines and quantitative methods courses.

  • Language: English

    Published by Taylor & Francis Ltd, 2021

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    Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

  • Language: English

    Published by Taylor & Francis, 2021

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    Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. G. David Garson teaches advanced research methodology in the School of Public and International Affairs, North Carolina State University, USA. Founder and longtime editor emeritus of the Social Science Computer Review, he is presi.…

  • Language: English

    Published by Taylor and Francis, 2021

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    PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.