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. 

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

predictive analytics chart


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

Meet our experts

  • kfranke's picture
    Katelyn Franke
    Senior Research Associate
  • ageorges's picture
    Annie Georges
    Research Associate
  • plovegrove's picture
    Peter Lovegrove
    Research Director, Child Welfare Reviews Project
  • lpatton's picture
    Lisa Patton
    Vice President

Doing Business with JBS

If your organization aims to improve lives and make the world a better place, we want to work with you.

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