Statistical Consulting and
(From left to right: Tan Tran, Kenneth Flagg, Laurie Rugemer, Noah Benedict, Michaela Powell, Megan Higgs, Chris Barbour-on computer, Allison Theobold, and Jaley Priddy)
Welcome to the Montana State University Statistical Consulting and Research Services (SCRS - pronounced "scissors")! We offer statistical consulting and collaboration to MSU students, faculty, and non-affiliates dependent on consultant availability and funding. SCRS is currently supported by Montana INBRE, CAIRHE, AI-AN CTRP, Mountain West CTR-IN, and housed in the Department of Mathematical Sciences within the College of Letters and Science.
We offer assistance and collaboration through the entire research process:
Research Planning: Refining of research questions and objectives; study design (experimental design, sampling design, etc.); analysis planning to align with research questions and design; planning for data organization and management; assistance with developing research proposals; etc.
Analysis: Aligning statistical methods and models with research questions and design; assistance with exploratory data analysis and creative visualization of data; help in understanding and translating assumptions underlying models and methods; interpretation of statistical results; assistance with coding (R, SAS, or SPSS); etc.
Dissemination: Assistance with graphical and tabular displays of data and analysis results; interpretation of results in the research context; wording related to design, methods, analysis, and interpretation; writing about statistical inference used in the research; communicating about the benefits and limitations of the use of statistics in scientific research; etc.
The level of involvement can range from a few hours of assistance to long-term collaborations resulting in co-authored publications. The depth and extent of collaboration is developed on a case-by-case basis depending on the researcher requests, where the project is, the opportunity for co-authorship, and the amount of funding available. Acknowledgement of our funding sources is crucial for any amount of effort. Please see our Frequently Asked Questions page for answers to common questions.
For questions about expectations and details regarding payment for services, please contact Megan Higgs directly.
To request statistical consultation, please submit a Request Form. Fill out this form as soon as possible, preferably (but not necessarily) before data collection.
NOTE: We currently have more requests than we can cover while we search for an Assistant of Co-Director and likely cannot provide immediate assistance. We apologize in advance for the wait and thank you for your understanding and patience. You will receive weekly emails with updates regarding approximate wait time.
Director: Dr. Megan Higgs
Past Director: Dr. Lillian Lin
Current Advisory Council: Alexandra Adams, Ann Bertagnoli, James Burroughs, Michele Hardy, Andrew Hoegh, Kathryn Irvine, Sara Mannheimer, Tricia Seifert, Jovanka Voyich-Kane
Past Advisory Council Members: John Borkowski, Steve Cherry, Mike Franklin, Mark Greenwood, Megan Higgs, Mary Leonard, Andrea Litt, Scott Myers, Donna Williams
Current Intern: Jaley Priddy (Hilleman Scholar)
Past Associates and Consultants: Katharine Banner, Bridgett Foran, Leslie Gains-Germain, Michael Lerch, Andrea Mack, Maya Marchese, Sarah McKnight, Elizabeth Mery, Christopher Peck, Claire Rasmussen, Jordan Schupbach, Jeremy Tate, Stephen Walsh, Jennifer Weeding, Huafeng Zhang
Statistical Consulting Seminar: Graduate students in Statistics take the hands-on Statistical Consulting Seminar course (STAT 510) 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 graduate students in other departments who are willing to work through the slower and free-of-charge process offered through this avenue. This is a great opportunity for graduate students from different departments across campus to participate in cross-disciplinary collaboration.