Data Analytics for the Social Sciences by G. David Garson PAPERBACK

Taylor & Francis

Data Analytics for the Social SciencesApplications in R\nAuthor(s): G. David Garson\nFormat: Paperback\nPublisher: Taylor & Francis Ltd, United Kingdom\nImprint: Routledge\nISBN-13: 9780367624279, 978-0367624279\nSynopsis\nData 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. \n\nThe 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.