Doctoral Researchers Forum
Introduction to statistics with R
Julia Schüler, MA, email@example.com
Dr. Mindaugas Mozuraitis
Time: Tuesday, March 7, 2016, 9:00 – 17:30
Room: Jägerheim, building C 9.3
Workshop language: English
Participant slots available: 20
Registration can be done upon registering for the conference.
This workshop will introduce you to the basic statistical tools you will need for the analysis of experimental data (e.g., behavioral experiments in psycholinguistics, perception studies in phonetics, acceptability rating studies in experimental linguistics). We will then cover the most common statistical methods used in speech and language research such as
- different types of t-tests
- different types of chi-square tests
The workshop will combine brief theoretical introductions from the instructor with hands-on exercises using the free statistical analysis software R (cran.r-project.org). The focus will be on learning how to explore and organize data for the analyses, run the analyses, interpret R output, and report the findings.
At the conclusion of this workshop, you will be able to:
- Describe the logic behind common statistical procedures.
- Select the appropriate statistical procedure given the type of data (e.g., continuous vs. categorical), distribution of the data (e.g, skewed vs. symmetric), and experimental design (e.g., independent vs. repeated-measures).
- Test whether your data complies with assumptions required for different statistical analyses through various data exploration techniques.
- Choose between most common transformations in cases where assumptions of parametric statistical test(s) is/are violated and some of the non-parametric alternatives that are available.
- Do basic manipulations and visualizations of data, and data analysis in R.
|9:00 – 10:00||Session 1|
|10:00 – 10:30||Coffee break|
|10:30 – 11:30||Session 2|
|11:30 – 12:30||Lunch break|
|12:30 – 14:00||Session 3|
|14:00 – 14:30||Coffee break|
|14:30 – 15:30||Session 4|
|15:30 – 17:30||Individual consultations|
R resources on the web
- R cran mirror (R download and documentation for all packages)
- R studio (R studio download)
- R seek (web search engine for help on R-related topics)
- http://www.rdocumentation.org (R package reference by type of task/field)
- ling-r-lang-L (mailing list for language researcher using R)
- StackOverflow (a good place to look for answers)
- Pace, L. (2012). Beginning R: An Introduction to Statistical Programming. Apress.
- Field, A., Miles, J., & Field, Z., (2012). Discovering Statistics Using R. Sage.
- Baayen, R. H. (2008). Analyzing linguistic data: A practical introduction using R. Cambridge University Press.