Dr. Edward T. Vieira, Jr. earned his M.B.A. from Bryant University and his Ph.D. in Marketing Communication with an emphasis on quantitative methods from the University of Connecticut. Currently, he is a professor at the School of Business at Simmons College in Boston, Massachusetts, USA. He serves on the Simmons’ Institutional Review Board, the Promotion and Tenure Committee, and a number of ad hoc committees.

Professor Vieira teaches various undergraduate and graduate courses in statistics, quantitative research design and methods, public relations, integrated marketing communication, and consumer psychology and online behavior. He has also lectured at Boston University, Suffolk University, the University of New Hampshire, the University of Hartford, and other educational institutions.

His teaching methods for his quantitative analysis course are innovative involving less manual calculation of the numbers, but an emphasis on 1) accurate identification of the analysis goal, 2) optimal sampling techniques, 3) selection of appropriate statistical tools, 3) interpretation of results, and 4) results reporting in two formats, one for the technical audience and the other for the lay-person audience. When asked about his pedagogical approach, he points point that one does not need to hold electrical and mechanical engineering degrees in order to derive the benefits from automobile ownership and driving. The same holds true for producers and consumers of most quantitative research.

He is on seven peer-review journal editorial boards focusing on study design and quantitative methodologies. Dr. Vieira has 35 peer-review publications, 40 conference papers, and numerous consulting project publications. His research interests involve corporate social responsibility and the innovative deployment of statistical methodologies.

MBA, Bryant University, Ph.D. University of Connecticut
Areas of Research / Professional Expertise
Currently, Dr. Vieira is developing an approach for conducting text content analysis using text network analysis (TNA). Through the usage of communication network principles, TNA measures combine the message and receiver perspectives by examining not only word co-occurrences, but co-occurrences in sentence and paragraph structures so that larger linked clusters of meaning or themes can be discovered and the connections and strength of these themes can be studied to determine overall motifs. Once TNA is conducted, the results can be interpreted and analyzed using a plethora of statistical procedures including regression analysis and structural equation modeling. The applications can be used to pretest messages, analyze various organizational reports, analyze transcripts, and so forth as well as be integrated with big data techniques in order to assess large amounts of online content.
Personal Interests
In his spare time, Ed writes children’s stories inspired by the surroundings near his home in Maine, USA.