Statistics and Research Methods

This book provides a beginner-level introduction to SEM analysis, including code for both MPlus and R

A classic from APA, this book gives overviews of common data analysis strategies from a conceptual (reader's) perspective.

The sequel to the classic, this procedure covers more data analysis strategies than the original.

This online text has an entry describing most statistical procedures. As a result, it is a great reference source for short explanations of various statistical procedures.

An easy-to-read instruction manual for the R language, including an introduction to modern tools (RStudio) and packages, as well as the basics of statistical data analysis (e.g., Regression, ANOVA). This is a great first book in R.

A useful book for doing basic data analyses in R. In addition to providing overviews of statistics theory, it provides worked examples with code.

Learn to manipulate data, sort data, slice and dice data, and otherwise become a data wrangler with modern R skills such as the "Tidyverse" (as set of popular R packages) and tools such as RStudio. Highly recommended for those interested in data careers.

An introductory statistics book focused on educating the reader in advanced R concepts. This book is ideal for someone wishing to get deeper into doing rigorous statistics with R.

Designed to support a 3-day crash course in R (but not statistics), this book can get users up and running importing and manipulating data in R.

A great "cookbook" for R: if you know what you want to do, this book has a worked example for you.

If you can conceive of the graph, this book can help you create and customize a production-quality graphic in R. Previous R expertise is required.

As its name implies, this is a comprehensive reference text on both the R language and data analysis in R. Recommended for people with prior statistics experience, this book covers basic and advanced ANOVA and regression designs, and many other use cases for psychology.

Links to freely available resources on using JASP, a free and openly-licensed software for statistical analysis.

Free PDF manual for students interested in learning JASP for statistics.

Links to freely available resources on using JAMOVI, a free and openly-licensed software for statistical analysis.