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


Introducing Code HOrizons!

Our newest initiative offers top-notch short courses on coding techniques, such as Python for Data Analysis, Workflow of Data Analysis, and Data Visualization. Check out the brand-new Code Horizons website here.

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 Mediation, Moderation, and Conditional Process Analysis: A Second Course. Taught on demand by Andrew Hayes on August 24-September 21, this seminar covers advanced mediation and moderation techniques such as serial mediation and serial moderated mediation, three-way interaction, and the creation of custom models in PROCESS.

Back by popular demand: Linear Regression taught on demand by Paul Allison on September 14-October 16. This course provides a very practical, intuitive, and non-mathematical introduction to the topic of linear regression.

Seminar Updates

Fall 2020 seminars are now open for registration, and more are being added weekly. Click here to view our schedule.

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


Kevin Grimm
Kevin Grimm, Ph.D., is Professor of Psychology at Arizona State University. 

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.

 

Upcoming

Seminars


Take one of our ON-Demand SEMINARS

Machine Learning
Remote Seminar
Kevin Grimm, Instructor
August 11-14
Sold Out

Structural Equation Modeling:
Part I

Remote Seminar
Paul Allison, Instructor
August 11-14
Sold Out

Mediation, Moderation, and Conditional Process Analysis: A Second Course On Demand
Andrew Hayes, Instructor
August 24-September 21

Propensity Score Analysis
Remote Seminar
Shenyang Guo, Instructor
September 10-12

Workflow of Data Analysis*
Remote Seminar
Bianca Manago, Instructor
September 10-12

Structural Equation Modeling:
Part 2 On Demand

Paul Allison, Instructor
September 14-October 12

Linear Regression On Demand
Paul Allison, Instructor
September 14-October 12

Introduction to Social Network Analysis
Remote Seminar
John Skvoretz, Instructor
September 24-26

Multilevel and Mixed Models Using Stata
Remote Seminar
Stephen Vaisey, Instructor
September 24-26

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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.

 
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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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