The GSA Statistics Lab offers fee-paying Graduate Students assistance with the technical aspects of projects and assignments, including theses, dissertations, and qualifying papers. The lab is located in 310 Student Union; office hours are Tuesday 11:00am – 1:00pm and Wednesday 2:00pm – 4:00pm. For an initial consultation, please stop by office hours or schedule an appointment by contacting Rebecca at email@example.com.
Statistics Workshops (4/19/17 & 5/24/17, 2-4pm in 310 Student Union):
This workshop series is geared towards beginner and intermediate students, focusing on regression analysis.
Saeede Eftekhari will present Workshop 1 on 4/19/17, Xiaoxi Sun will present Workshop 2 on 5/24/17. These workshops will cover topics from model selection to the final stages of interpreting and visualizing results. Students are welcome to attend one or both sessions, please RSVP through this link: http://doodle.com/poll/7hurrrf4mp5dp2nw. As these workshops are presented as a series, Workshop 2 will involve basic understanding of Workshop 1 techniques. Below are lists of topics we will cover, a detailed outline for each workshop will be available prior to the presentation
- Types of data that may be encountered (continuous, categorical, binary)
- What models are available and how to choose among them (linear, logit, etc.)
- Interpreting results (reading a regression table, determining significance)
- Testing the assumptions of your model (linearity, heteroskedasticity, etc.)
- Determining the `Quantities of Interest’ necessary to correctly interpret your model and draw substantive implications (predicted probabilities, marginal effects, etc.)
- Basic graphing/visualization of data
Students are welcome to ask questions during and after the presentation.
Assistance includes (but is not limited to):
- Technical aspects/principles of theory development and hypothesis testing
- Experimental design
- Statistical methods, including linear/non-linear regression
- Experimental methods and testing
- Data mining/text analysis
- Including Matlab, R, SPSS, SAS, Python, Stata, Java
The focus of this lab is to strengthen quantitative skills so that the student can independently interpret and draw conclusions from their analysis. Students can ask questions on principles of research design, statistical concepts and procedures and analytical software.
- Students should come with specific questions on their research design, method(s), or software.
- The lab consultant cannot interpret the results of an analysis, draw conclusions, or otherwise make judgment calls on data/research methods.
- Consultations may require multiple sittings. The amount of time needed for assistance varies by student and project; allow the lab ample time to address issues.
- The lab consultant will provide guidance on the methods the student decides to implement, but the student should assume that the consultant may not know the specific needs of the discipline, either methodologically or substantively.
- This service should not be used as a substitute for thesis/ dissertation/project guidance. Students are responsible for seeking assistance from their advisors.
- The lab consultant is not responsible for the final outcome/grade of the project. Students are responsible for following up with advisors to ensure that the project meets department expectations.
Check our calendar for availability