This tutorial was designed for the absolute beginning R user. It does not assume any experience at all with using R or doing any coding/scripting with any other program. It is actually not a new tutorial at all but rather a curated set of existing tutorials followed by an application exercise. Many of the tutorial applications rely on simple data examples that do not approximate real-life situations, especially for psychological research. The application in this tutorial looks very similar to what most psychological researchers will encounter. This tutorial was designed for undergraduate research assistant to be able to learn the basics of R reasonably quickly, but it is well-suited to anyone looking to learn. Feedback is most welcome! To get started, open the Google Doc, "[Getting Started With R When You Know Absolutely Nothing][1]." All instructions for the tutorial are outlined in that document. In addition to the tutorial instructions, this page includes the following materials for the Learning Phase 3 - Application with Real Data: 1. Raw data file for analysis (EID_Data_MCAE2016.csv) 2. Codebook for the data file (EID_Data_MCAE2016_Codebook.doc) 3. Items and scoring instructions for the two scales included in the data file, the Multigroup Ethnic Identity Measure (MEIM-12.doc) and the Satisfaction with Life Scale (SWLS-5.doc). 4. An annotated R script file that contains the key for the exercise (Getting Started With R - Script Key.R) [1]: https://docs.google.com/document/d/1obm0tdkaaqdc1sfI9TZo3afz_ksKX5s64udD-WxbP0s/edit