research methods

Statistics with R, 2nd Edition
Robert Stinerock

Learn from an expert with over 30 years of teaching experience!

This book provides the practical skills your students need to use statistical methods in their research. With a wealth of hands-on exercises and online resources created by the author, students can practice their skills using the data sets and R scripts from the book with detailed screencasts that accompany each script.

Key Features:

• In-depth R tutorials that start from the act of locating and downloading the software and continue through each statistical method.
• Shows readers how to use R in a gradual way that builds confidence and eliminates fear.
• Includes real-world examples to help readers conceptualize how to apply statistical knowledge outside of the exams and classroom activities.
• For students who lack confidence in their statistical literacy and get easily frustrated with challenging concepts, the text provides carefully cultivated, jargon-free pedagogy that appeals to different learning styles through a mix of text, visuals and off the page learning.
• Provides students with a step-by-step guide to statistical language that includes a variety of resources for reflection, revision and practice to ensure students retain and maintain knowledge of key concepts through learning exercises, data sets, formulae lists, accessible definitions, and software screenshots.
• This edition also includes a gentle introduction to Bayesian methods integrated throughout.

Why universities are switching to R for teaching social science
Sage Campus Blog

Statistics, data analysis and data visualisation are a crucial aspect of social science degrees - across disciplines from psychology to political science and across levels, from undergraduate to postgraduate. For higher education institutions, the most popular statistical software package for teaching this aspect of the social sciences has traditionally been IBM’s Statistical Package for the Social Sciences (SPSS).

However, in recent years, digitalization and the explosion of big data has led to demand for data science skills and big data software. We’ve seen new statistical software packages on the block, while others have improved or grown in popularity. Consequently, higher education institutions are realising that SPSS isn’t the only fish in the sea....

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