From the Science Student Council

Summer statistics training opportunities

A listing of summer workshops on methods and statistics for psychologists.

By Stephen Mistler

Conducting a psychological research study often requires the use of advanced quantitative methods. Unfortunately, graduate students may not be able to obtain training in these advanced methods at their own universities due to a lack of course offerings, conflicting schedules, or other reasons. As such, summer workshops offer a great opportunity for graduate students to obtain training in advanced quantitative methods that would otherwise be unavailable to them. To aid graduate students in finding these training opportunities, we have identified a number of workshops on research methods and statistical techniques being offered in the United States this summer.

 

 

Dates Location Instructors
Categorical Data Analysis

 

Logistic Regression Using SAS July 16 - July 20 Philadelphia, PA Paul Allison
Logistic Regression Using Stata June 4 - June 5 Philadelphia, PA Paul Allison
Modeling Relationships with Binary, Nominal, and Ordinal Responses June 4 - June 8 University of Kansas
Lawrence, KS
Carol Woods & Pascal Deboeck
Longitudinal Data Analysis

 

Analyzing Developmental Trajectories June 4 - June 7 University of Massachusetts Amherst
Amherst, MA
Daniel Nagin & Bobby Jones
Analyzing Intensive Longitudinal Data June 19 - June 22 University of Massachusetts Amherst
Amherst, MA
Jean-Philippe Laurenceau
& Niall Bolger
Longitudinal Data Analysis June 18 - June 19 Portland State University
Portland, OR
Jason Newsom
Longitudinal Data Analysis Using Stata April 27 - April 28 Chicago, IL Paul Allison
Structural Equation Modeling: Advanced Longitudinal Modeling June 11 - June 15 University of Kansas
Lawrence, KS
Todd Little
Measurement

 

Foundations of Test Development and Validation June 11 - June 15 University of Kansas
Lawrence, KS
Carol Woods
Measure Development and Evaluation May 11 - May 13 Wayne State University
Detroit, MI
Lisa Schurer Lambert
Mediation/Moderation

 

Introduction to Statistical Mediation Analysis June 11 - June 12 Methods Work, LLC
Chicago, IL
David MacKinnon
Mediation and Moderation April 20 - April 21 Philadelphia, PA Andrew Hayes
Mediation and Moderation: Modern Methods and Approaches June 18 - June 22 University of Kansas
Lawrence, KS
Andrew F. Hayes & Kristopher J. Preacher
Testing Interactions with Linear Regression May 14 - May 16 Wayne State University
Detroit, MI
Herman Aguinis
Meta-Analysis

 

Foundations of Meta-Analysis June 11 - June 15 University of Kansas
Lawrence, KS
Noel Card
Meta-Analysis: Models & Processes May 14 - May 16 Wayne State University
Detroit, MI
Mike McDaniel
Missing Data

 

Analysis of Missing Data June 25 - June 27 Texas A&M University
College Station, TX
Craig Enders
Missing Data June 21 - June 22 Boston, MA Paul Allison
Modern Missing Data Treatments and Designs June 11 - June 15 University of Kansas
Lawrence, KS
Wei Wu & Mijke Rhemtulla
Multilevel Modeling

 

Hierarchical Linear Models for Longitudinal Data August 6 - August 8 University of Colorado, Boulder
Boulder, CO
Aline Sayer
Hierarchical Linear Modeling Short Course July 11 - July 13 Carnegie Foundation for the Advancement of Teaching
Stanford, CA
Stephen Raudenbush & Anthony Bryk
Hierarchical Linear Models I: Introduction June 11 - June 15 University of Massachusetts Amherst
Amherst, MA
Aline Sayer & Mark Manning
Multi-Level Analysis May 14 - May 16 Wayne State University
Detroit, MI
Paul Bliese
Multilevel Modeling June 4 - June 8 Curren-Bauer Analytics
Chapel Hill, NC
Patrick Curren & Daniel Bauer
Multilevel Modeling August 9 - August 10 North Carolina State University
Raleigh, NC
Shevaun Neupert
Multilevel Modeling: Foundations and Applications June 18 - June 22 University of Kansas
Lawrence, KS
James P. Selig & Kristopher J. Preacher
Multilevel Regression Models and Their Applications June 13 - June 14 Portland State University
Portland, OR
Ron Heck
Multi-Level Theory & Measurement May 14 - May 16 Wayne State University
Detroit, MI
James LeBreton
Propensity Score Methods

 

Propensity Score Methods for Causal Inference June 11 - June 12 Methods Work, LLC
Chicago, IL
Donna Coffman
Research Methods

 

Methods for Developing Adaptive Interventions: Getting SMART June 11 - June 12 Methods Work, LLC
Chicago, IL
Susan Murphy & Daniel Almirall
Rancomized Controlled Trials (RCT) for Clinical and Behavioral Settings June 4 - June 8 University of Kansas
Lawrence, KS
Amber Watts & Chantelle Dowsett
Social Network Analysis

 

New England Workshop on Social Network Analysis May 30 - June 1 University of Massachusetts Amherst
Amherst, MA
Ryan Acton & Andrew Papachristos
Social Network Analysis May 14 - May 16 Wayne State University
Detroit, MI
Rich DeJordy
Social Network Analysis with Siena June 18 - June 22 University of Kansas
Lawrence, KS
Christian E. G. Steglich
Structural Equation Modelling

 

Advanced Topics in Structural Equation Methods May 14 - May 16 Wayne State University
Detroit, MI
Robert Vandenberg
Intermediate Structural Equation Modeling: Model Evaluation May 14 - May 16 Wayne State University
Detroit, MI
Larry Williams
Introduction to Structural Equation Methods May 11 - May 13 Wayne State University
Detroit, MI
Larry Williams
Introduction to Structural Equation Modeling June 15 - June 16 Portland State University
Portland, OR
Rex Kline
Introduction to Structural Equation Models May 17 - May 18 Los Angeles, CA Paul Allison
Latent Variable Modeling August 7 - August 8 North Carolina State University
Raleigh, NC
Daniel Gruhn & Jason Allaire
Modeling and Data Analysis with Mplus June 18 - June 22 University of Kansas
Lawrence, KS
Rens A. G. J. van de Schoot
Structural Equation Modeling June 11 - June 15 Curren-Bauer Analytics
Chapel Hill, NC
Patrick Curren & Daniel Bauer
Structural Equation Modeling: Advanced Longitudinal Modeling June 11 - June 15 University of Kansas
Lawrence, KS
Todd Little
Structural Equation Modeling: Foundations and Extended Applications June 4 - June 8 University of Kansas
Lawrence, KS
Todd Little & Noel Card
Survival Analysis

 

Event History and Survival Analysis Using SAS July 23 - July 27 Philadelphia, PA Paul Allison
Survival Analysis Using Stata April 13 - April 14 Washington, DC Paul Allison
Other

 

Alternatives to Difference Scores: Polynomial Regression and Response Surface Methodology May 14 - May 16 Wayne State University
Detroit, MI
Jeff Edwards
Analysis of Limited Dependent Variables: Logit, Tobit, and Related Models May 14 - May 16 Wayne State University
Detroit, MI
Harry Bowen
Data Analysis with R June 4 - June 8 University of Kansas
Lawrence, KS
Paul Johnson & Pascal Deboeck
Exploratory Data Mining in Behavioral Research June 4 - June 8 University of California, Davis
Davis, CA
John McArdle,
Gilbert Ritschard,
George Marcoulides, & Kevin Grimm
Introduction to Latent Class Analysis June 12 Methods Work, LLC
Chicago, IL
Linda Collins & Bethany Bray
Multiple Regression August 6 North Carolina State University
Raleigh, NC
Jason Allaire
Statistics with R May 4 - May 5 Philadelphia, PA Tenko Raykov

 

Advanced quantitative training can also be obtained through APA’s Advanced Training Institutes (ATIs). APA provides some funding for many of the graduate students who attend. The application deadlines for all but one of the 2012 ATIs have already passed (applications are still being accepted for Exploratory Data Mining in Behavioral Research), but keep an eye out for next year


Stephen Mistler is the psychological methods representative on the APA Science Student Council. He is a doctoral student in the quantitative psychology program at Arizona State University. His research is focused on methods for applying multiple imputation to multilevel data sets.