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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Statistical Horizons in Australia, Germany, and Sweden!

Mediation, Moderation, and Conditional Process Analysis
Andrew Hayes, Instructor
June 6-7, Brisbane, Australia

Instrumental Variables
Felix Elwert, Instructor
July 28-29, Berlin, Germany

Multilevel and Mixed Models
in Stata
Stephen Vaisey, Instructor
August 8-9, Stockholm, Sweden

Longitudinal Data Analysis Using Stata
Paul Allison, Instructor
August 15-16, Stockholm, Sweden

Survival Analysis Using Stata
Paul Allison, Instructor
August 17-18, Stockholm, Sweden

Dynamic Panel Data Models

Paul Allison, Enrique Moral-Benito, and Richard Williams are currently working on a project entitled “Dynamic Panel Data Modeling using Maximum Likelihood.” They have prepared a Stata program called xtdpdml that provides an alternative to widely used GMM methods such as Arellano-Bond and is superior in many cases. Click here to see the materials that are currently available.

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Gregory Hancock
Gregory Hancock, Ph.D., is Professor and Program Director of Measurement, Statistics and Evaluation in the Department of Human Development and Quantitative Methodology at the University of Maryland, College Park, and Director of the Center for Integrated Latent Variable Research (CILVR).


Andrew Hayes
Andrew F. Hayes, Ph.D., is Professor of Quantitive Psychology at the Ohio State University. His research focuses on linear models, with an emphasis on resampling methods of inference.

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Stephen Vardeman
Stephen Vardeman, Ph.D., is a University Professor of Statistics and Industrial Engineering at Iowa State University.




Interactions in Linear
Regression Analysis
Andrew Hayes, Instructor
May 13-14, Philadelphia

Machine Learning
Stephen Vardeman, Instructor
May 13-14, Philadelphia

Latent Growth Curve Modeling
Gregory Hancock, Instructor
May 20-21, Philadelphia

Multilevel Modeling of
Non-Normal Data
Donald Hedeker, Instructor
June 2-3, Chicago

Longitudinal Data Analysis Using
Structural Equation Modeling
Paul Allison, Instructor
June 2-3, Chicago

Mediation, Moderation, and
Conditional Process Analysis

Andrew Hayes, Instructor
June 6-7, Brisbane, Australia

Survival Analysis
Paul Allison, Instructor
June 23-24, Boston
Early registration deadline is May 23


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Paul D. Allison, Ph.D., is Professor of Sociology at the University of Pennsylvania where he teaches research methods and statistics. He has been offering short courses in statistics for over 25 years.