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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click here to View Our Seminar Schedule

What’s

Happening


New dates have been added for two sold-out remote seminars

    • Structural Equation Modeling: Part I
     taught by Paul Allison from August 11-14.
     This seminar covers the basics and is
     designed to get you up and running with
     SEM methods.

    • Machine Learning taught by Kevin Grimm
     from August 11-14. Learn ML techniques
     using R, including cross-validation, multiple
     regression, advanced variable selection
     methods for regression analysis, plus much
     more.

Learn at your own pace with one of our On-Demand or Remote seminars

Available from home or on the go. Space is limited so register today.

Introducing Longitudinal Data Analysis Using SAS. Taught on demand by Paul Allison on July 6-August 3, this seminar covers several popular methods for the analysis of longitudinal data with repeated measures: robust standard errors, generalized least squares, generalized estimating equations, random effects models and fixed effects models.

Back by popular demand: Introduction to Mediation, Moderation, and Conditional Process Analysis taught on demand by Andrew Hayes on July 6-August 3. In this seminar, you will learn about the underlying principles and the practical applications of mediation and moderation methods.

Seminar Updates

Stephen Vaisey’s popular seminars will be offered remotely for the first time. Join us for: 

Multilevel and Mixed Models Using R
July 28-31

Longitudinal Data Analysis Using R
August 4-7

Blog Post

“Better Predicted Probabilities from Linear Probability Models”
Paul Allison explains a new method for getting predicted probabilities from a linear regression with a binary dependent variable. It guarantees that the predictions will be bounded by 0 and 1.

Follow us on social media for the latest news: LinkedIn, Twitter, Facebook.

 

FEATURED

INSTRUCTORS


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

Kristopher Preacher
Kristopher J. Preacher, Ph.D., is Professor in the Quantitative Methods program in the Department of Psychology and Human Development at Vanderbilt University. 

Stephen Vaisey
Stephen Vaisey, Ph.D. is Professor of Sociology and Political Science and the Director of the Worldview Lab at Duke University.

 

Upcoming

Seminars


Take one of our ON-Demand SEMINARS

Longitudinal Data Analysis Using SAS
On Demand

Paul Allison, Instructor
July 6-August 3

Introduction to Mediation, Moderation, and Conditional Process Analysis On Demand
Andrew Hayes, Instructor
July 6-August 3

Matching and Weighting for Causal Inference with R
Remote Seminar
Stephen Vaisey, Instructor
July 7-10
Sold Out

Structural Equation Modeling:
Part I

Remote Seminar

Paul Allison, Instructor
July 7-10
Sold Out

Structural Equation Modeling:
Part 2

Remote Seminar

Paul Allison, Instructor
July 14-17

Multilevel Modeling:
A Second Course
Remote Seminar
Kristopher Preacher, Instructor
July 14-17
Sold Out

Statistics With R*
Remote Seminar
Andrew Miles, Instructor
July 21-24
Sold Out

Multilevel and Mixed Models Using R
Remote Seminar
Stephen Vaisey, Instructor
July 28-31

Survival Analysis On Demand
Paul Allison, Instructor
August 3-31

Longitudinal Data Analysis Using R
Remote Seminar
Stephen Vaisey, Instructor
August 4-7

Data Visualization*
Remote Seminar
Kieran Healy, Instructor
August 4-7

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Need advice on

which seminar to take?


One of our senior instructors would be happy to talk with you (by email or phone) about finding the best fit for your background, interests and needs. Email us at info@statisticalhorizons.com to set up your recommendation session.

 
Join Our

Email List


For the latest information about our seminars, along with helpful hints and ideas about statistical methods, sign up for our mailing list. We will not share your information with anyone.

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Join Our

Team


Statistical Horizons currently has openings for instructors. For more information, click here.

 

ABOUT OUR FOUNDER

PAUL ALLISON


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.

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