Expert statistical consulting from a published researcher and Associate Professor at Virginia Commonwealth University — specializing in multilevel modeling, SEM, social network analysis, machine learning, and reproducible R & Python workflows.
Whether you need help designing a study, running complex analyses, or building a clean data pipeline, I bring the statistical rigor your project deserves.
Get your research started on solid ground. I help you design studies that will yield valid, meaningful results — and calculate the sample sizes to back them up.
Advanced modeling for complex, nested, or longitudinal data structures — with clear interpretation and publication-ready write-ups grounded in published research.
Clean, well-documented statistical code you can actually understand and reuse. I write scripts, pipelines, and analyses in R and Python.
Navigating the quantitative methods chapter doesn't have to be painful. I guide graduate students through every statistical hurdle, from proposals to final defense.
A rare consulting specialty — rigorous social network analysis grounded in peer-reviewed tutorial work published in Psychological Methods.
Measure what you intend to measure. I bring deep expertise in scale development, validation, and psychometric evaluation for research and applied settings.
"My goal is to make rigorous statistics genuinely useful — whether you're defending your dissertation, preparing a manuscript for peer review, or trying to understand what your data are actually telling you."
I'm Michael D. Broda, PhD — an Associate Professor of Research, Assessment, and Evaluation at Virginia Commonwealth University's School of Education, and the founder of RQuant Consulting.
With a doctorate from Michigan State University and over a decade of active research, I bring the perspective of a working scientist to every consulting engagement. I don't just run analyses — I understand the pressures of peer review, grant applications, IRB submissions, and dissertation committees.
My research spans multilevel modeling, structural equation modeling, social network analysis, machine learning, and psychometrics. I've published 71+ peer-reviewed articles and served as a methodologist and statistician on more than $10 million in externally funded projects from the NIH, U.S. Department of Education, and DHHS.
When you work with RQuant, you get analysis you can defend — because it's built by someone who publishes it.
Work With MeA straightforward, collaborative process designed to keep you in the loop at every step.
We talk through your project, your goals, and your timeline. No commitment required.
You receive a clear proposal outlining deliverables, timeline, and transparent pricing.
I conduct the work and share interim updates. You review and provide feedback.
You receive fully documented results, code, and write-up — ready to use immediately.
Deep experience across a wide range of statistical methods and research domains.
Nested data, cross-classified designs, growth curve models, repeated measures
CFA, EFA, latent variable models, mediation, moderation, path analysis
Centrality, community detection, ego & whole network methods, visualization
Supervised & unsupervised methods, model selection, cross-validation, interpretability
Growth curves, change modeling, experience sampling (ESM/EMA), panel data
Scale development & validation, item response theory, measurement invariance
Multiple imputation, FIML, MCAR/MAR/MNAR testing, sensitivity analyses
Experimental & quasi-experimental design, power analysis, pre-registration
A sample of recent peer-reviewed work spanning multilevel modeling, social network analysis, machine learning, and psychometrics.
Researchers and students who've worked with RQuant Consulting.
"I was completely lost in my dissertation's methods chapter. RQuant walked me through the entire mixed-effects model setup, explained every decision, and delivered clean R code I could actually use. I passed my defense with flying colors."
"We needed power analyses and a study design that would hold up to peer review. The turnaround was fast, the work was thorough, and the write-up was clear enough to drop straight into our IRB application."
"The Python dashboard RQuant built for our lab's survey data completely changed how we present findings to stakeholders. Professional, reproducible, and exactly what we asked for."
Fill out the form below and I'll get back to you within one business day to discuss your needs.
Whether you have a well-defined project or just an early-stage question, I'm happy to talk it through. The initial consultation is always free.