McDevitt & Kline Continuing Education Workshops

Statistics training that makes sense

At Statistical Horizons, you can learn the latest statistical methods in an efficient, affordable and enjoyable manner. We offer short seminars on a wide variety of popular statistical methods—methods that are not offered in many graduate programs. Our instructors are all well-known experts in their fields. They are also outstanding teachers who are highly skilled at making statistics understandable.

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We are looking forward to a great 2019 and the exciting things in store, including new seminars, new instructors, and the return of some of our most popular courses. 

Be the first to experience our newest seminars-

Finite Mixture Modeling taught by Jeffrey Harring on May 3-4 in Philadelphia. Finite mixture modeling (FMM), commonly referred to as model-based clustering methods, has been applied to a wide variety of cross-sectional and longitudinal data to account for heterogeneity in population characteristics. This two-day seminar will give you the theoretical background and practical skills to address interesting research questions using FMM.

Experimental Methods taught by Michael Gaddis on May 16-17 in Philadelphia This seminar is a moderately-paced introduction to experimental methods that will leave researchers able to begin designing their own experiments and embarking on data collection.

Matching and Weighting for Causal Inference with R taught by Stephen Vaisey on June 6-7 in Chicago. This course offers an in-depth introduction to matching and weighting methods using the R package. Matching and weighting are quasi-experimental techniques for estimating causal effects from observational data using the potential outcomes or counterfactual framework.

This spring and summer you can find us in Ft. Myers, San Diego, Philadelphia, Atlanta, Chicago, Boston, and Los Angeles. Some of our most popular seminars will be offered including Machine Learning, Causal Mediation Analysis, and Longitudinal Data Analysis. Our schedule through August is available here.

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Shenyang Guo
Shenyang Guo, Ph.D., is the Frank J. Bruno Distinguished Professor of Social Work Research in the George Warren Brown School of Social Work at Washington University in St. Louis.

Jeffrey Harring
Jeffrey Harring, Ph.D., is Professor of Measurement, Statistics and Evaluation in the Department of Human Development and Quantitative Methodology at the University of Maryland, College Park.

Tenko Raykov

Tenko Raykov
Tenko Raykov, Ph.D., is Professor of Measurement and Quantitative Methods at Michigan State University.






Logistic Regression
Paul Allison, Instructor
April 5-6, Philadelphia

Propensity Score Analysis
Shenyang Guo, Instructor
April 5-6, Philadelphia

Missing Data Online
Paul Allison, Instructor
April 12-May 10

Linear Regression
Paul Allison, Instructor
April 26-27, Philadelphia
Early registration deadline is March 26

Scale Construction and Development
Tenko Raykov, Instructor
April 26-27, Philadelphia
Early registration deadline is March 26

Finite Mixture Modeling
Jeffrey Harring, Instructor
May 3-4, Philadelphia
Early registration deadline is April 3

Introduction to Social Network Analysis
Stephen Borgatti, Instructor
May 3-4, Philadelphia
Early registration deadline is April 3

Experimental Methods
Michael Gaddis, Instructor
May 16-17, Philadelphia
Early registration deadline is April 16

Structural Equation Modeling: A Second Course
Gregory Hancock, Instructor
May 16-17, Philadelphia
Early registration deadline is April 16

Longitudinal Data Analysis Using SAS
Paul Allison, Instructor
May 30-31, Atlanta
Early registration deadline is April 30


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Allison Pic

Paul D. Allison, Ph.D., is President of Statistical Horizons and Emeritus Professor of the University of Pennsylvania. He has been offering short courses in statistics for over 30 years.