About Jeff Meyer, MBA, MPA

Jeff Meyer is a professional statistical consultant with an MBA from the Thunderbird School of Global Management and a Master’s Degree in Public Policy from NYU, with a focus in quantitative analysis.

In consultation, Jeff’s main focus areas are multivariate, logistic (bivariate, ordinal and multinomial), mixed models, count models (Poisson, negative binomial, zero inflated, truncated, and censored regression) multiple imputation models for missing data, exploratory factor analysis, CFA, path analysis, mediation, moderation, latent growth curve, and latent class analysis using SEM. Jeff’s software preferences are Stata and Mplus but is also a skilled user of R and SPSS.

In the event the client is short on time and needs their data set cleaned, Jeff has created templates incorporating macros and loops to quickly prepare a data set for analysis.

Jeff understands that to be an effective instructor and consultant it takes more than subject matter knowledge and a logical approach to analyzing data. You must enjoy working with people and care about their success.

Jeff started working professionally with data in 1987 after obtaining his MBA. His responsibilities included creating financial models to analyze economic and market risks.

With the collapse of the financial markets in 2008 Jeff turned his efforts to using statistical analysis for the purpose of creating sound public policy.

Since joining The Analysis Factor, he has taught workshops on linear regression, count models, structural equation modeling and learning Stata, written the Stata code for all workshops, served as a panelist for weekly Statistically Speaking Q&As and written articles on numerous topics.

The Craft of Statistical Analysis Webinars

All of these were taught by Jeff and access to all recordings are available at no charge.

Jeff’s Workshops

linear models
Linear Models: Increasing Your Statistical Confidence
Level: Introductory
Software Used: SPSS, SAS, R, Stata
count models
Analyzing Count Data: Poisson, Negative Binomial, and Other Essential Models
Level: Advanced (Solid experience running linear models is required)
Software Used: SPSS, SAS, R, Stata
count models
Structural Equation Modeling
Level: Advanced (Solid experience running linear models is required)
Software Used: SPSS, SAS, R, Stata, Mplus

Jeff’s Blog Posts