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POSC/SOCI 6388: Data Analysis for Social and Criminological Research

Statistical techniques most commonly used in social science research with emphasis on probability, estimation, hypothesis methods, sample techniques and use of R and RStudio for statistical analysis.

Purpose of this Guide

The information in these pages will help you:

  • find statistics in library databases
  • find articles in scholarly journals with results of statistical studies and experiments
  • find reference sources to define and explain concepts in your textbook
  • Contact librarians for research assistance.

Resources for this Course

YaRrr! The Pirate's Guide to R by Nathaniel D. Phillips

  • An introduction to the basic analytical tools in R, from basic coding and analyses, to data wrangling, plotting, and statistical inference.

An Introduction to Political and Social Analysis Using R by Thomas M. Holbrook

  • This book provides students with a comprehensive and accessible overview of important issues related to political and social data analysis, wile also providing a gentle introduction to using the R programming environment to address those issues.

R Workflow article by Frank E. Harrell, Jr.

  • Covers how to use R effectively all the way from importing data to analysis and making use of RStudio's Quarto for making reproducible reports with R and other language. This article also provides an overview of R Workflow for Reproducible Data Analysis and Reporting by the same author, which contains best practices in reproducible data documentation and manipulation, statistical analysis, graphics, and reporting.

R Tutorials and Resources:  Getting Started with R

  • This page has links to other webpages with tutorials on learning how to use R. There are also links to other topics related to R.

How to Install R and RStudio

R is a language and software environment for statistical computing and graphics. It provides a wide variety of statistical and graphical techniques. R is available as a free software, which runs on Linux, MacOS and Windown. You can download R from the Comprehensive R Archive Network (CRAN), part of The R Project for Statistical Computing.

RStudio is an integrated development environment (IDE) for R and Python. It includes a console, syntax-highlighting editor that supports direct code execution, and tools for plotting, history, debugging, and workspace management. It is available as an open source edition and runs in Windows, MacOS, and Linus environments. You can download RStudio from the POSIT website.

This helpful YouTube video talking you through downloading R and RStudio:

Installing R on Your Machine has step-by-step instructions on how to install R and RStudio Desktop on Windows and MacOS. It also has instructions for installing R Kernel on Jupyter Notebook for both Windows and MacOS.

Once you've installed RStudio, Descriptive Statistics and an Overview of RStudio (about 6 minutes) will get help get you started using RStudio

 

Statistics Video Tutorials

The Against All Odds:  Inside Statistics videos from Films on Demand provide an overview on the art and science of gathering, organizing, analyzing and drawing conclusions from data.

Databases with Statistical Content

The following library resources will provide access to statistical summaries, as well as datasets.

Ask A Librarian

Having trouble? Ask!

  • Use our 24/7 Live Chat located on the bottom right of library websites.
  • Call (806) 651-2215 during library hours
  • Use "Email a Librarian" to ask a question. Most responses within 1 business day.
  • Stop by the first floor Research & Access Desk anytime the library is open