Research Design and Analysis
Proposal development, data analysis, and data management
With over 40 years of combined grant writing experience, the Research Design and Analysis unit provides collaborative services and resources for proposal development, data analysis, and data management with the goal of enhancing the validity, rigor, and impact of Life Span Institute research.
Our Philosophy
We believe in a Collaborative Approach to the Research Cycle – We want to fit our services to your needs: providing extensive writing or coding when needed, or only assisting with specific problems.
Proposal writing
We can advise on rigorous research design; Consult on randomized clinical trial methodology; Assist with development of testable research questions; Help you create alignment between measures and aims.
Project implementation
With decades of experience, we can provide guidance on effective survey development and user interface and question design; Assist with development of new instruments and evaluate their psychometric properties; We provide custom software and website development, and can work with outside developers to provide technical support and guidance.
Data extraction and analysis
Programmatic validation of data sets and automated scoring; Data dashboards to present data as it is collected; Assistance with REDCap data reports to be used for project reports, data cleaning, or analysis; Conduct cost and cost-effectiveness analysis; Conduct analyses in SPSS, SAS, MPlus and R fitting appropriate models to your data
Dissemination
Assisting in the writing of methods sections of manuscripts; Writing results sections; Creating graphical displays of results; Succinctly summarizing results for stakeholders; Developing results text for posters and other conference presentations
Data sharing
Writing data sharing and archiving plans; Assisting with grant-mandated data sharing and archiving; Preparation of datasets for sharing, including masking or removing identifiable information; Applying NIH data naming conventions to datasets; Uploading data to archive at the required intervals