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      Qualitative Comparative Analysis Using R: A Beginner’s Guide

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      Firm sale: non returnable item
      SKU 9781009009935 Categories ,
      Select Guide Rating
      A comprehensive introduction and teaching resource for state-of-the-art Qualitative Comparative Analysis (QCA) using R software. With its practical focus, this book facilitates the teaching, independent learning, and use of QCA with the best available software for students, te...

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      Description

      Product ID:9781009009935
      Product Form:Paperback / softback
      Country of Manufacture:GB
      Series:Methods for Social Inquiry
      Title:Qualitative Comparative Analysis Using R
      Subtitle:A Beginner's Guide
      Authors:Author: Carsten Q. Schneider, Ioana-Elena Oana, Eva Thomann
      Page Count:180
      Subjects:Data science and analysis: general, Data analysis: general, Research methods: general, Social research and statistics, Comparative politics, Research methods: general, Social research & statistics, Comparative politics
      Description:Select Guide Rating
      A comprehensive introduction and teaching resource for state-of-the-art Qualitative Comparative Analysis (QCA) using R software. With its practical focus, this book facilitates the teaching, independent learning, and use of QCA with the best available software for students, teachers, researchers, and practitioners in the Social Sciences.
      A comprehensive introduction and teaching resource for state-of-the-art Qualitative Comparative Analysis (QCA) using R software. This guide facilitates the efficient teaching, independent learning, and use of QCA with the best available software, reducing the time and effort required when encountering not just the logic of a new method, but also new software. With its applied and practical focus, the book offers a genuinely simple and intuitive resource for implementing the most complete protocol of QCA. To make the lives of students, teachers, researchers, and practitioners as easy as possible, the book includes learning goals, core points, empirical examples, and tips for good practices. The freely available online material provides a rich body of additional resources to aid users in their learning process. Beyond performing core analyses with the R package QCA, the book also facilitates a close integration with the R package SetMethods allowing for a host of additional protocols for building a more solid and well-rounded QCA.
      Imprint Name:Cambridge University Press
      Publisher Name:Cambridge University Press
      Country of Publication:GB
      Publishing Date:2021-10-28

      Additional information

      Weight368 g
      Dimensions228 × 154 × 18 mm