Data Analytics
We use every tool available to address our clients' needs and answer their questions. This approach helps our clients turn data into information to support decisions and actions.
We start by working with clients to clearly and carefully delineate hypotheses, research questions, and analysis plans. Employing a full range of methodological and statistical tools, we also use advanced statistical procedures to organize, structure, and aggregate data. We look for consistencies, convergence, and contrasts.
In other words, we find meaning in the numbers.
We move beyond looking at associations between variables. We use person-centered techniques such as mixture modeling (or latent class/transition analysis, growth curve modeling, and growth mixture) that are invaluable to identifying segments of the population.Â
We also use, and train others to use, predictive analytics in a range of fields, from health care to education to manufacturing.Bottom of Form

Capabilities
General Linear Regression Models
Geographical Information Systems Methods
Hierarchical Linear Modeling
Meta Analysis
Missing Data Analysis
Mixture Modeling for Cross-sectional and Longitudinal Data
Monte Carlo Simulation Methods
Predictive Analytics
Scale Development and Testing (Psychometrics)
Social Network Analysis
Structural Equation Modeling
Time-to-Event Analysis
Univariate and Multivariate Descriptive Statistics
Work Samples
-
Journal of Justice: Patterns of bullying and victimizationVisit Website
-
Mentoring programs to affect delinquency and associated outcomes of youth at riskVisit Website
-
JBS Data Analytics SolutionsDownload pdf
Meet our experts
-
Annie Georges
Research Associate -
Peter Lovegrove
Research Associate