Statistical Consulting and Research Services
Welcome to the Montana State University Statistical Consulting and Research Services! We offer statistical consulting to MSU students, faculty, and non-affiliates as well, dependent on consultant availability. SCRS is currently supported by Montana INBRE and Mountain West CTR-IN. We assist in:
Research Planning: Study design, sample size, statistical power, analysis planning, data collection, data management, and research proposals.
Analysis: Computed variables, selecting statistical methods, modeling, model interpretation, and code review (R, SAS, or SPSS).
Dissemination: Graphical and tabular displays, model interpretation, and writing.
Additional work will depend on consultant specialty. Please see our Frequently Asked Questions page for answers to common questions.
We are currently at full capacity and are not able to begin work on new projects until
the Fall semester. We recommend you submit your request now so that we may put you
on our waiting list for Fall. We apologize for the inconvenience.
To request statistical consultation, please submit a Request Form. Fill out this form as soon as possible, preferably (but not necessarily) before data collection.
Advisory Council: Steve Cherry (chair), John Borkowski, Mike Franklin, Mark Greenwood, Megan Higgs, Kathryn Irvine, Mary Leonard, Donna Williams
Past Advisory Council Members: Andrea Litt and Scott Myers
Past Associates and Consultants: Bridgett Foran, Leslie Gains-Germain, Michael Lerch, Andrea Mack, Maya Marchese, Christopher Peck, Claire Rasmussen, Katharine Banner
Statistical Consulting Seminar: Graduate students in statistics take the hands-on Statistical Consulting Seminar course as a part of their graduate program. SCRS and the Statistical Consulting Seminar work together to provide consulting services to clients. Typically, the Statistical Consulting Seminar serves clients that are graduate students in other departments who are willing to work through the slower consulting process offered through this avenue. This is a great opportunity for graduate students from different departments across campus to participate in cross-disciplinary collaboration.