Data Science & Applied Statistics

Maximize insights. Make an impact.

Jeff Crukley, PhD

Geek in Charge

Standard Services

Study design*, sample size estimation, power analyses; frequentist and Bayesian modelling/analyses, psychometrics; G Theory; data visualizations, analysis reports and summaries; manuscript support & revisions (methods & results sections), presentation support (methods & results).

Advanced Services

Principal component analysis, structural equation modelling, and factor analyses; qualitative/mixed methods**; time series analyses and forecasting, big data analytics through machine learning and deep learning; advanced visualizations, dashboarding; stats coaching.

Service Options

Hourly rates, project-based contracts, and longer-term engagements.

Academic and non-profit rates may be negotiated.

*To maximize the quality of your resesarch, consulting a statistician during study design is advised.

**In partnership with Reserca.

Recent Project Examples

Explaining the Effects of Hearing Loss on Emotion Perception

Maddox Hearing Aid Lab, Vanderbilt University

Constructed and validated Bayesian hierarchical multivariate ordinal models to show the effects of communication modality and signal processing on emotion perception. Supported manuscript write-up and revisions.

The TeaChR Study: Teaching Critical Reflection

The Wilson Centre, Toronto General Hospital

Advised design, constructed and validated Bayesian regression models, and supported write-up of study that demonstrated the effects of teaching approaches on students' future critically reflective capabilities, measured through their "talk."

Predicting children's real-ear-to-coupler differences based on tympanometric data

Audibility, Perception, and Cognition Laboratory, Boys Town National Research Hospital

Developed an algorithm for the prediction of RECDs based on pediatric ear canal acoustics. Contributed to manuscript preparation, revisions, and patent application.