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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Happy New Year! 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-

apcalis sx 20mg oral jelly Io ho comprato nel sito e mi sono trovata bene. Le spese di spedizione variano in base all'importo dell'ordine. 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.

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.


Andrew Hayes
Andrew F. Hayes, Ph.D., is Professor of Quantitative Psychology at the Ohio State University.

Tenko Raykov

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






Longitudinal Data Analysis Using Structural Equation Modeling
Paul Allison, Instructor
February 1-2, Ft. Myers, Florida

Mediation, Moderation, and Conditional Process Analysis 
Andrew Hayes, Instructor
February 1-2, Ft. Myers, Florida

Missing Data
Paul Allison, Instructor
February 19-20, San Diego

Introduction to Structural Equation Modeling
Paul Allison, Instructor
February 21-22, San Diego

Logistic Regression
Paul Allison, Instructor
April 5-6, Philadelphia
Early registration deadline is March 5

Propensity Score Analysis
Shenyang Guo, Instructor
April 5-6, Philadelphia
Early registration deadline is March 5

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

Machine Learning with Text Data
Christopher Bail, Instructor
April 26-27, Philadelphia
Early registration deadline is March 26


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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.