Jennifer Viveiros, PhD she/her

Assistant Professor

College of Nursing & Health Sciences / Adult

Curriculum Vitae

Contact

508-910-6445

508-999-9127

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Modular Unit #5 005

Education

2015

University of Massachusetts Dartmouth

PhD

2004

University of Rhode Island

MSN

1996

Georgetown University

Teaching

Medical/Surgical Nursing
Genomics
Statistics

Teaching

Programs

Teaching

Online and Continuing Education Courses

NUR 605: Statistical Analysis of Data

Focus on exploring, organizing, and presenting quantitative data. Emphasis is on practical application of statistical methods for use in nursing practice. Topics include normal distributions, descriptive statistics and t-tests. Specific statistical models presented include analysis of variance (ANOVA), analysis of covariance (ANCOVA), repeated measures ANOVA, simple linear regression, and logistic regression. Students will utilize and interpret statistical computer software outputs and draw statistical conclusions based on the data.
Register for this course.

Research

Research interests

Cognitive function
Cardiovascular disease
Non-direct teaching methods
Simulation-based interventions

Select publications

See curriculum vitae for more publications

Sethares, K., Viveiros, J. & Ayotte, B. (2021).
Uncertainty levels differ by physical heart failure symptom cluster
Applied Nursing Science, 60
Viveiros, J., Chamberlain, B., O'Hare, A. & Sethares, K. (2019).
Meditation interventions among heart failure patients: An integrative review
European Journal of Cardiovascular Disease, 18 (8), 720-728.
McCurry, M., Rudd-Arieta, M. & Viveiros, J. (2021).
Using consensus testing to enhance genomic understanding and team work in doctoral advanced practice nursing students
Nursing Education Perspectives, May/June, 168-170.

Dr. Viveiros has extensive experience teaching with high fidelity simulations. She has expertise in simulation design, the capabilities of our simulation center, and experience with simulation measurement tools/resources. She has worked with multi-disciplinary simulation research teams to promote safety in the healthcare setting.