R is rapidly becoming one of the most powerful and commonly used statistical packages in the social and natural sciences and in business and public policy. R fluency is increasingly become a valued – or even expected – skill for entry-level research positions as well as for grad school.
This workshop is designed for students who have successfully completed one or two semesters of introductory statistics using SPSS, STATA or SAS. In this student-driven workshop, students will develop a research idea using a large longitudinal dataset from a nationally representative sample (Add Health). Using R, they will move through standard data management, descriptive statistics, graphic analysis, and inferential statistical techniques. The culmination of the course will be each student’s presentation of the results of their research project to the class. Statistics will include chi square, t test, ANOVA, repeated measures ANOVA, multiple regression, ANCOVA and related techniques.
The workshop is student driven, with all teaching done through the online NSF sponsored Passion Driven Statistics curriculum. Daily meetings will provide introductions and help sessions and support. The workshop can be done self-paced or you can work along with the instructors and a partner. Students who have taken one semester of statistics (e.g., Psych 200 or STATS 113) are prepared to take the univariate and bivariate modules of the course. Those who have taken more advanced statistics (Psych 300 or multivariate analyses) can move on to the more advanced modules.
This course focuses specifically on helping you consolidate your current knowledge of statistics and begin to master R. It is not intended to introduce students who haven’t taken a stats course to the field.
Number of students:
January 3rd - January 31st, 2020