Open Consulting Hours* Monday - Thursday 1pm - 5pm
Free for KU affiliated students, faculty and staff. This is a service funded by the College of Liberal Arts and Sciences and the KU Libraries.
To Schedule an Appointment:
Please choose an appointment time in our Google Calendar. This requires you to have a Google account. Time is allocated in 30 minute blocks. It is not allowed to sign up for a 1 hour long block. We hope you will visit, discuss your questions, then do some work on your own and schedule another appointment when new questions arise.
In Open Consulting, we can discuss all types of with statistical and methodological problems. We don't write code for clients, but we can review output and offer suggestions. A separate fee-for-service framework is available through which clients can hire us to prepare code or conduct analysis. Please see the Project Consulting page.
The expertise of the consultants will vary from day to day; sometimes, we have experts available in Mplus, R, Stata, SAS, and so forth. Consultants will generally be able to answer "general framework" questions, while detailed questions may require us to do some research and get back with you with an answer. We have a discussion list for methods questions, kuant-l, on which we might ask your question.
Open Consulting Hours are especially good for specific questions like:
- What does this output from SAS mean to you?
- If I have this data in Excel, can I open it in R?
- Do you know what this error message means in Mplus?
- Do you think my estimates "make sense"? Do they shed light on my questions?
- What does this "p" value mean?
We urge clients to make their questions as specific as possible. We can't generally help with questions like "what is statistics?", but we try when we can.
There is no "limit" on the number of questions that a single person can ask (except in the sense that Open Consulting is available only for a regulated amount of time). Please feel free to return at later a date for follow up questions.
- Write down your questions and the methods you want to use. .
- Where are you getting your data? We highly recommend that you bring your computer or a jump-drive with your data.
- Software - What programs are you using?