Research & study design
Power analysis, sampling, grant methods, randomized trials, and analysis planning before data collection begins.
START A CONVERSATION
Bring the question.
We’ll find the clearest path.
Whether you are shaping a study, facing a difficult dataset, evaluating a program, or pressure-testing an AI system, the best first step is a focused conversation about what you need to learn or decide.
A GOOD PLACE TO START
What are you working through?
You do not need to know the right statistical method before reaching out. A clear description of the decision, question, or challenge is enough.
Analysis & measurement
Multilevel and longitudinal models, structural equation modeling, psychometrics, and difficult analytic decisions.
Evaluation & AI systems
Program impact, evidence strategy, quality metrics, benchmark design, and statistically defensible AI evaluation.
Collaboration & speaking
Research partnerships, methodological review, workshops, graduate training, panels, and invited talks.
WHAT HAPPENS NEXT
A useful first conversation, whether or not we work together.
- 01
Share the context
Tell me the question, current stage, timeline, and where the work feels stuck.
- 02
Clarify the methodological path
We identify what can be answered, what evidence is needed, and the most practical next step.
- 03
Choose the right level of support
If there is a fit, you receive a clear scope. If not, you still leave with direction.
READY WHEN YOU ARE
Start with the problem—not the statistical vocabulary.
A short note is enough. Please avoid sending confidential, sensitive, or identifiable data by email; we can arrange an appropriate transfer method if needed.