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Published: 05 July 2018

368 Pages


ISBN: 9780190656225

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Using R for Data Analysis in Social Sciences

A Research Project-Oriented Approach

Quan Li

  • Step-by-step guide on data preparation, visualization, analysis, and reporting
  • Examines the logic and procedures of statistical analysis, using one-sample t-test, difference-of-means test, covariance, correlation, ordinary least squares (OLS) regression, and model assumption diagnostics
  • Illustrates how to reproduce and replicate the findings in published journal articles and diagnose model assumption violations
  • Test-used in undergraduate classes and student self-study, it is appropriate for any introductory course on R, data analysis, and empirical social-scientific research.
  • Offers enormous pedagogical value in terms of how to teach computer programming, data analysis, and empirical social scientific research