Statistics and Data Interpretation
Statistics and Data Interpretation
Advanced Data Processing and Statistical Analysis
Tufts CTSI/Biostatistics, Epidemiology, and Research Design (BERD) Center
The Tufts CTSI/Biostatistics, Epidemiology, and Research Design (BERD) Center is a joint program between Tufts CTSI and the Institute for Clinical Research and Health Policy Studies (ICRHPS). Statisticians and Epidemiologists in the BERD Center collaborate with clinical, health services, and basic science researchers throughout Tufts University and Tufts Medical Center and its affiliates. The BERD Center promotes innovation and excellence across the spectrum of translational and patient-oriented research by working with our collaborators to select the optimal study design and plan, and perform the most suitable analysis for the aims of each study.
UNH has an established agreement with the BERD that allows faculty to use the services provided by the Center, with costs for faculty covered by the College of Health and Human Services or the Office of the Senior Vice Provost for Research.
To access the Center's resources, submit a service request.
This statistical consulting service provides assistance with experimental design, data collection design, data display and statistical analysis, and interpretation of findings.
UNH Internal Requests: Requests may be for assistance in preparing research grants, writing papers for publication, preparing conference presentations, assistance in research for theses and dissertations.
Consulting Limitations: We provide advice, but not analysis of data. We do not review completed theses. No service will be provided for homework and project assignments in regular courses.
External Request: Services may also be provided to external clients, such as to local/regional industries that request assistance for experimentation, clinical trials, and data analysis.
Fees: Service is free of charge for smaller projects and will typically involve an initial meeting and a concluding follow-up meeting. Larger projects will be fee-based; fees will be negotiated.
Appointments: Please contact
Application Form: Please fill out a request application form: http://goo.gl/forms/MQetva4CtL
Web and Print Resources
This series of 31 video modules by the U.S. Dept. of Education's Institute of Educational Sciences (US ED/IES) provides opportunities for researchers to learn more about how to design scientifically valid single-case design research studies and appropriately analyze single-case data.
This 2012 report from the US Dept. of Education, Institute of Education Sciences (US ED/IES) provides "suggestions to researchers about ways to present statistical findings about the effects of educational interventions that might make the nature and magnitude of those effects easier to understand.
These suggestions and the related discussion are framed within the context of studies that use experimental designs to compare measured outcomes for two groups of participants, one in an intervention condition and the other in a control condition"
Its purpose is to stimulate and guide researchers who conduct and report these kinds of education intervention studies "to go a step beyond reporting the statistics that emerge from their analysis of the differences between experimental groups on the respective outcome variables. With what is often very minimal additional effort, those statistical representations can be translated into forms that allow their magnitude and practical significance to be more readily understood by the practitioners, policymakers, and even other researchers who are interested in the intervention that was evaluated."
These PEELS data training modules produced by the National Center for Special Education Research are intended to be a resource to researchers who would like to use the PEELS dataset to conduct research addressing students with disabilities.
The modules provide opportunities for researchers to learn more about:
- the background of the PEELS study
- the study design and sampling
- the assessments and instruments used to collect PEELS data,
- how to access and manipulate PEELS data in SPSS and WesVar
- how to conduct longitudinal and regression analyses with PEELS data