We combine our broad quantitative expertise as faculty at an R1 university with a strong emphasis on communication and execution. Our approach prioritizes progress and deliverables, ensuring that methodological decisions support timely completion of project goals rather than creating unnecessary delays.

We typically begin with an initial consultation to understand your goals, data, and timeline. From there, we work with you to define scope, deliverables, and deadlines. We prioritize clear and prompt communication throughout the project to ensure alignment and timely completion. Scroll up and click the button to request a consultation.

Our services are typically billed on an hourly basis, with invoices issued monthly. After an initial consultation, we provide a clear estimate based on the scope of the project, the team involved, and the expected level of effort from each team member.

Both. Engagements can range from single meetings to long-term collaborations.

Both. We offer support at any stage—from early study design and planning to fully developed projects or those that have already been preregistered.

Yes. We frequently assist with interpreting statistical results and translating them into clear, defensible conclusions for journal manuscripts, grant reports, and organizational decision-making.

We work with a wide range of data types, including survey data, experimental data, longitudinal data, and administrative or organizational data sets. We also support projects involving complex or messy data, including data with missingness and data from multiple sources.

We primarily work in R, and also use software such as Python, SAS, SPSS, Mplus, CEFA, and flexMIRT depending on the needs of the project. We work with SQL for data management and tools such as Tableau for visualization and dashboards. If your project requires other tools or environments, we’re happy to accommodate.