Q: Who can take advantage of GradQuant’s one-on-one consultation services?
A: GradQuant offers free quantitative methods consultations to all enrolled UCR graduate students.
Q: What kinds of quantitative methods assistance can I receive?
A: We provide help with any quantitative research project, during any stage of the data collection, interpretation, and presentation process. Please refer to the following types of consultation that we can offer at this moment.
Note: Rather than doing an intake this year, it is up to students to make an appointment with the appropriate Staff Member based on their Expertise and the type of appointment needed. Please see the consultation appointment system tutorial.
1. Probability Theory
Probabilities and random variables, distributions and densities, expected value and variance, Bayes’ theorem, Central limit theorem.
2. Experimental Design
Sampling plan, analysis planning and decision tree diagnostics
3. Basic Statistics
Descriptive statistics, Statistical inference and hypothesis test, linear regression analysis, and ANOVA.
4. Advanced Statistics
Linear mixed model, repeated measures, generalized linear model, survival analysis, longitudinal analysis, multivariate analysis techniques, other special and advanced topics.
5. Non-Parametric Testing
Chi-square testing, Statistical Bootstrapping, Cohen’s Kappa (inter-rater agreement), and more.
6. Statistical Software
Currently supported: R, SAS, and SPSS.
7. Database Management, Code Debugging & Programming
Database design, query construction, algorithm and program design, programming tools and analysis, and other programming related topics.
Currently supporting: Excel, C, C++, C#, Java, MySQL, Objective C, HTML, Python and Perl.
8. Machine Learning
Data driven predictions, pattern recognition, and algorithm testing
Q: How do I get started?
A: Click the below link to get started. If you are a new user, please take a minute to create a new account and visit the tutorial. After creating an account, choose “GQ Consultations” or “GQ Workshop” from the drop-down menu when selecting the consultation type.
Q: What can I expect at my first consultation?
A: Depending on the complexity of the statistics that your project involves in, sometimes your question can be answered in the first meeting, but most likely, the first appointment will be just an introduction of your problems to the consultant and a follow-up appointment will be needed.
Please make sure you answer the question: “What would you like to address during your consultation?” when you sign up. Also, if you have documents you would like your consultant to look at before the appointment, be sure to attach them.
Q: What should I bring to my appointment?
A: As much or as little as you’ve got. We can help you at any stage of working with quantitative methods. If you have anything listed below that may help the consultation, bring them to the appointment: any material that will help us understand your project and problems; any write-up on how to set up your experiments or collect your data; your data if it has been collected; statistical results that you’ve got; any reference paper from the relevant studies; comments from the paper reviewers or your dissertation committee, etc.
Q: How long are appointments and how many appointments can I make per week?
A: Appointments are either 20 minutes or 50 minutes in length and begin at 10 minutes past the hour or half hour. You may book up to 2 appointments per week and only one appointment per day.
Q: What if I need to cancel or reschedule an appointment?
A: No problem! Review or make changes to your appointment by logging into your account below. Cancellations must be made at least two hours before your scheduled appointment time. Please note that if you fail to cancel your appointment and do not show up two times (in the GradQuant space or the Graduate Writing Center), you will be barred from utilizing GradSuccess Resources for the remainder of the Quarter.
Q: Where is GradQuant located?
A: Currently, all one-on-one GradQuant consultations take place in the Life Sciences Building, Room #1425.