About Us

Bay View Analytics is a statistical research firm with a focus on survey design, implementation, and analysis. Formerly known as the Babson Survey Research Group, the scope of Bay View Analytics' consulting engagements includes scientific statistical analyses, clinical and pre-clinical trial design and analysis for publication and regulatory submission, and survey designs for a range of topics, with a particular focus on digital learning. Survey design services include initial proposals, sample selection, methodological decisions, analysis planning, and report production.

Bay View Analytics has been conducting research and publishing reports on the state of digital learning in U.S. higher education for over 20 years. These reports receive regular coverage in U.S. academic publications such as the Chronicle of Higher Education and Inside Higher Ed, and have been incorporated into hundreds of dissertations and well over twenty thousand academic citations. The total downloads for the series now numbers over three and one-half million.

In addition to conducting and releasing our reports, Bay View Analytics also partners with other respected research organizations such as the Clayton Christensen Institute, Tyton Partners, and the Canadian Digital Learning Research Association. Bay View Analytics’ role differs from project to project, but typically includes sampling design, questionnaire design and implementation, data collection, data processing, and analysis.

Bay View Analytics services:

Survey Design: Overall design of survey project, including preliminary testing, instrument validation, testing for response time, and clarity of questions for all survey years.

Sample Selection: Identification of the survey population and selection of the sample of interest for the survey. Creation of sample files for survey invitation and preloading response database.

Survey Administration: Sending survey invitation messages, tracking of all responses by time, date, and all independent variables, and sending reminder messages specifically tailored for each class of respondent. Response monitoring by subgroups, date and time email sent, the wording of invitation messages, and multiple independent variables.

Response Rate and Bias Analysis: Analysis of survey responses by multiple characteristics to discover possible patterns in response rates and sources of response bias, and examination of response patterns for multiple independent sub-samples. Creation of sample weights for analysis of the data as needed.

Data Cleaning: Complete analysis of all data items – including assignment of missing values (structural missing, no response to question, partial response to question), data integrity check for each data element based on range and allowable values, the relationship of individual data elements in the survey to each other, the relationship of data elements to responses from previous years, and the relationship of data elements to those from different data sources.

Database Design: Design of analysis database, including missing data imputation, internal and external data integrity testing, and merging of data from multiple sources. This often includes merging files for multiple years of a survey for longitudinal analyses.

Study Design: Design of scientific studies, including pre-clinical and clinical trials, observational studies, and real-world data designs. Preparation of trials and analyses for regulatory submission including diagnostics, devices, digital apps, and therapeutics.

Statistical Analysis: Creation of analysis files for statistical software (SPSS, SAS, Stata, R, Prism, JMP), design of analysis plans, choice of statistical technique, creation of all tables and analyses, statistical testing as appropriate.

Report Creation: Creation of research reports for a survey, including design, layout and printing or creation of a downloadable pdf.

Competitive Intelligence: Analysis gathering strategic insights based on current and future market activity.