Office of Graduate Studies and Research

Statistical Consultation in the College of Health Sciences


The College of Health Sciences at UWM is proud to provide statistical consultation services for research being conducted by its faculty, staff, and graduate students.

Statistical consultation can be provided in all stages of the research project. Researchers request consultation during grant proposal preparation, designing surveys or experiments, selecting software, planning and performing statistical analysis, interpreting the results, writing results sections, preparing for presentations, or responding to reviewers.

Statistical services can take on different forms depending upon the researcher's needs. Collaborative research between the researcher and the statistician can be planned or develop over the span of the research project. Consultation can, therefore, range from a single contact to a regular on-going process from proposal through publication.

Statistical consulting is available during the Fall, UWinterM, and Spring semesters. No assistance will be available during the summer session. Services include assistance with all phases of research projects.


What services can I receive as a faculty or staff member?

Faculty and staff members have full access to statistical consultation. Services provided to assist faculty include (but are not limited to):

  • Assistance with the design of studies and experiments, including the preparation of grant proposals
  • Power Analysis (determination of sample size)
  • Survey design
  • Sampling techniques
  • Data entry / Data base set-up recommendations
  • Assistance with the choice and application of statistical methods
  • Assistance in interpretation and write-up
  • Assistance in presentation of results

What services can I receive as a graduate student?

Services to students are provided for research projects, presentations, theses, and dissertations. This is not a tutoring service. Students will be assisted in research methodology, design, data entry and analysis, write-up and presentation. It is expected that students will be able to understand, perform, and explain their own research analyses. For this reason, students will only be advised through their knowledge base. For example, students who have not completed a course in multivariate methods will not be advised in such methods as it is out of their experiences and expertise. During the first meeting, it is recommended that the faculty advisor also be present to assure accuracy in research design questions and data representation.


Services for students include:
  • Assistance with the design of studies and experiments at pre-proposal
  • Power Analysis (determination of sample size)
  • Survey design
  • Sampling techniques
  • Data entry / Data base set-up recommendations
  • Assistance with the choice and application of statistical methods based upon student experience
  • Assistance in interpretation and write-up
  • Assistance in presentation of results

What specialized computer programs are supported?

Most statistical analyses are performed using SPSS. Other specialized programs used include AMOS, HLM, Power and Precision, and SAS. Other statistical programs can also be accommodated as needed.


What is this going to cost?

Short-term services will be provided to faculty free of charge, but if long-term services are needed, fees and/or buyouts will be necessary. Services for students are considered short-term and are free.


How do I make an appointment?

Consultation to faculty, staff, and students is provided and welcomed at any time during a study, but involving a consultant during the planning stage(s) is recommended. To schedule an appointment, contact Susan Cashin by email (scashin@uwm.edu) or phone (414-229-3303).


What should I bring?

Important things to bring to the first meeting:

  • A description of your research study
  • Copies of any instruments that you are going to use
  • A list of what variables you are going to collect
  • Your research questions
  • Electronic version of your data (if already collected)
  • For sample size determination, relevant papers or research study results