Independent statistical consulting

Statistics you can defend in review, to a committee, or in the boardroom.

For researchers, graduate students, survey agencies, and research-driven organizations. From study design to the right test to results explained clearly enough to write up, and stand behind when questioned.

Okanagan, BC · Working with researchers across Canada

Tell me your situation

"I ran a training and surveyed people before and after. Did it actually work?"
The method I'd reach for
  • Wilcoxon signed-rank
  • Effect size (Cohen's d)
"My two groups look different. Is it real, or just chance?"
The method I'd reach for
  • t-test / ANOVA
  • Mann–Whitney
"I built a questionnaire. Does it actually measure what I think?"
The method I'd reach for
  • SEM
  • Reliability & validity
"We're about to collect data. How many people do I need?"
The method I'd reach for
  • Power analysis
  • Sample-size planning

In plain language

Sounds like your situation?

You don't need to know the name of the test you need. If any of these sound familiar, I can help.

"I ran a program and collected before/after surveys. Did it actually work?"

"My two groups look different. Is it real, or just chance?"

"A reviewer says my stats are wrong. How do I fix it?"

"I'm about to collect data. How many people do I need, and what do I ask?"

"My data is rating scales and isn't 'normal.' Which test is even allowed?"

"We sit on years of survey data. What is it actually telling us?"

Not on the list? Describe it to me. If I'm not the right fit, I'll say so and point you somewhere better.

Services & methods

What I do

Study & survey design

The right design, sample size, and instruments, chosen before you collect, so the analysis is sound from the start.

Group comparisons & intervention analysis

Pre/post and between-group tests (t-tests, ANOVA, Wilcoxon, Mann–Whitney) reported with effect sizes, not just p-values.

SEM & latent-variable analysis

Measurement models, multi-group comparison, and modeling relationships between constructs for psychometric and survey research.

Psychometric & scale analysis

Reliability, validity, and the behaviour of Likert/ordinal instruments across groups.

Regression & predictive modeling

Linear, logistic, and mixed/multilevel models for nested or repeated-measures data.

Selected work (de-identified)

Recent engagements

Client work is confidential, described here by method and outcome only.

Intervention evaluation

Clinical training cohort · N = 66

Paired pre/post data across five ordinal competency dimensions. Chose the Wilcoxon signed-rank test for non-normal paired data and reported Cohen's d, confirming a large, significant improvement. Delivered publication-ready.

  • Wilcoxon signed-rank
  • Effect sizes
  • Pre/post

Structural equation modeling

Multi-group wellbeing survey

I built the SEM from the ground up: defined the latent constructs, mapped which validated-scale items loaded on each, and confirmed model fit, then ran multi-group SEM to compare those constructs across population subgroups and examine between-person variability. Structured for direct inclusion in the write-up.

  • SEM
  • Latent variables
  • Multi-group
  • Model fit

Survey design

Community needs assessment

Designed a needs-assessment survey for a community organization covering sensitive topics: mental health, experiences of harm, discrimination, and suicidality. Selected validated scales, structured questions for clean analysis, and wrote trauma-informed consent and safety language that keeps participants in control.

"Your wellbeing matters. You can skip any question or stop at any time."
  • Survey design
  • Trauma-informed
  • Validated scales

Earlier & broader experience

Four years building data systems for BC healthcare: predictive and semantic modeling, data analysis, executive dashboards, reporting automation that cut multi-hour reports to minutes, and a live operations dashboard used during the 2023 wildfire response.

Python · R · SQL · Power BI

Working together

How it works

  1. We talk, free of charge

    A short call about your research question and your data. No charge to scope it.

  2. You get an honest read

    I tell you what the data can and can't support. If a simpler approach is right, I'll say so.

  3. Your data stays protected

    De-identified data wherever possible, on your terms, under a confidentiality agreement.

  4. You get something usable

    The analysis, tables and figures, and a plain-language interpretation you can write up and defend.

Data confidentiality

Research data is sensitive, and I treat it that way. I'll sign a confidentiality agreement before seeing anything, work with de-identified or aggregated data wherever the analysis allows, and handle everything securely and only for the agreed purpose. If your work involves a research ethics board, I'll work within its requirements.

About

I'm Dhruv Shah.

A background in electrical engineering, a postgraduate diploma in data analytics, and four years working with data in BC healthcare. I now consult independently on statistical analysis for researchers and research-driven organizations. I bring the same rigor to studies, surveys, and evaluations, and explain it clearly enough to stand up to review.

Have a study, a dataset, or a method question?

Tell me what you're working on and I'll tell you honestly how I can help.

The first call is free, with no obligation after it.