SUPPORT FOR ACADEMIC AND CLINICAL RESEARCH
Methodological and statistical support for every stage of your research.
Research rarely moves in a straight line. I work with researchers when things get technical: how to design the study, how to handle the data, and what the results can reasonably show.
The practice
EXPLORE Research is a solo practice providing methodological and statistical support to academic and clinical researchers.
I work with university researchers, graduate students as well as clinical and community teams needing additional expertise and support.
Some projects need a single push: a second look at an analysis plan, a dataset cleaned up before submission. Others need support from the first hypothesis through the final model. I work both ways.
My work spans study design, data management, statistical analysis, and data collection instruments, depending on what the project actually needs.
I shape each collaboration around your timeline and the methodological standards of your field.
Services
Four areas of support, available individually or together.
Study design
Good research is designed carefully before it's run.
Support for defining hypotheses, choosing an appropriate design, working out sample size, and structuring a protocol that holds up to the standards of your discipline. Help preparing the documentation for a research ethics board application.
Data management and cleaning
Most analysis problems are really data problems.
Database structuring, cleaning, validation, variable documentation, and data preparation for analysis or regulatory submission.
Statistical analysis
From simple regression to structural equation modeling.
Regression, SEM, event history analysis, and other advanced quantitative approaches, using Excel, SPSS, Stata, SAS, R, Python, or Mplus: whatever fits the project.
Data collection instruments
A study is only as good as the instrument behind it.
Design, adaptation, and validation of surveys, questionnaires, and other measurement instruments, including pilot testing and psychometric refinement.
ABOUT
I'm Jean-Denis David and I lead EXPLORE Research.
I have a PhD in sociology, with a focus on advanced quantitative methods. I've published more than a dozen peer-reviewed articles in national and international journals, using methods from simple regression to structural equation modeling.
I previously worked as a survey manager and analyst at Statistics Canada, and I regularly teach statistics at the undergraduate level.
GET IN TOUCH
If you need methodological or statistical support for your research, I'd be glad to talk it through.
A short conversation about what you're working on is usually the best place to start.
Email: write to me