INTEGRATIVE STATISTICS

An expert guide can help you navigate and integrate all the aspects of your research.

Design of experiments, surveys, and other studies

- Control of nuisance variables
- Development of valid and reliable measures
- Power analysis (planning for the right
sample size and desired precision)

Savvy data collection
Most efficient use of software: Excel, SPSS, R, PowerPoint, and more

Data preprocessing
Data analysis
Interpretation of findings to fit your context and your audience
Engaging presentation

- clear, informative text
- sharp, lively data graphics

Get your priorities met.

Statistical Significance vs. Practical Significance
Short-Term Goals vs. Long-Term Goals
Keeping Costs Down vs. Covering All the Bases
Predicting Events vs. Explaining Events
Keeping It Simple vs. Accounting for Complexity

Support your own growth.

You'll come away from this partnership with a deeper understanding of research and analytic methods, one that carries over into your other endeavors.
Read what other clients have said.