From the Science Student Council

Summer training available to graduate students

A listing of short summer courses on advanced statistics and research methods for psychologists.

By Nisha Gottfredson

Summer is a good time for researchers to brush up on modern statistical techniques and research methods by taking advantage of short courses offered by faculty members who specialize in cutting-edge methods.  It is a good idea for graduate students to develop the habit of learning new techniques that may be applicable to their research.  Doing so  enables students to stay up to speed on new developments, and it facilitates networking with faculty and students from related research areas. 

The Science Student Council aims to enhance psychological science students’ experiences as graduate students.  As such, we have identified a number of short courses that are being offered in the United States this summer.

 

 

Location

 

Dates

 

Instructors

 

Structural Equation Modeling

 

     
Curran Bauer Analytics Chapel Hill, North Carolina May 23 -
May 27
Patrick Curran and Daniel Bauer
University of Kansas Stats Kamp Lawrence, Kansas June 6 - 
June 10
Todd Little
Center for the Advancement of Research Methods and Analysis Richmond, Virginia May 16 - 
May 18
Larry Williams
Center for the Advancement of Research Methods and Analysis (Advanced) Richmond, Virginia May 19 - 
May 21
Robert Vandenberg
Item Response Theory

 

     
University of Kansas Stats Kamp (Test Development and Validation) Lawrence, Kansas June 20 - 
June 24
Carol Woods
Multilevel Modeling

 

     
Curran Bauer Analytics Chapel Hill, North Carolina June 6 - 
June 10
Patrick Curran and Daniel Bauer
University of Kansas Stats Kamp    Lawrence, Kansas June 6 - 
June 10
Kristopher Preacher
Summer Quantitative Methods Series at Portland State University Portland, Oregon June 16 - 
June 17
Jason Newsom
Center for the Advancement of Research Methods and Analysis Richmond, Virginia May 16 - 
May 18
Paul Bliese
Longitudinal Data Analysis

 

     
APA Advanced Training Institutes- SEM in Longitudinal Research Davis, California June 20 - 
June 24
John McArdle & Kevin Grimm
Categorical Data Analysis

 

University of Kansas Stats Kamp Lawrence, Kansas June 13 - 
June 17
Carol Woods and Pascal Deboeck
Research Methods

 

University of Kansas Stats Kamp – Meta Analysis Lawrence, Kansas June 13 - 
June 17
Noel Card
Center for the Advancement of Research Methods and Analysis Richmond, Virginia May 16 - 
May 18
Michael McDaniel
APA Advanced Training Institutes- Exploratory Data Mining Los Angeles, California June 27 - 
July 1
John McArdle, Gilbert Ritschard, George Marcoulides,
& Kevin Grimm
APA Advanced Training Institutes – Research Methods with Diverse
Racial and Ethnic Groups
East Lansing, Michigan June 20 - 
June 24
Frederick Leong (director)
Social Network Analysis

 

Center for the Advancement of Research Methods and Analysis Richmond, Virginia May 19 - 
May 21
Rich DeJordy
University of Kansas Stats Kamp Lawrence, Kansas June 20 - 
June 24
Christian Steglich
Introduction to social network analysis Washington, DC October 28 - October 29 Rachel A. Smith
Missing Data

 

University of Kansas Stats Kamp – Modern Missing Data Methods Lawrence, Kansas June 20 - 
June 24
Wei Wu & Mijke Rhemtulla
Portland State University Summer Quantitative Methods Series Portland, Oregon June 13 - 
June 14
Craig Enders
Missing data analysis Atlanta, Georgia August 13 -  
August 14
John W. Graham
Missing data analysis Washington, DC October 28 -
October 29
John W. Graham
Other

 

APA Advanced Training Institutes-Nonlinear Methods for
Psychological Science
Cincinnati, Ohio June 20 - 
June 24
Guy Van Orden, Kevin Shockley, Michael Riley,
Rick Dale, & Jay Holden
University of Kansas Stats Kamp – Statistical Analysis and Data
Management in R
Lawrence, Kansas June 20 -
June 24
Paul Johnson & Pascal Deboeck
University of Massachusetts Amherst – Modeling Diary Data with HLM Amherst, Massachusetts June 28 - 
July 1
Jean-Phillippe Laurenceau & Niall Bolger
NC State - Applied Regression, Multilevel, and Latent Variable
Modeling Workshop
Raleigh, North Carolina August 8 -
August 12
Shevaun Neupert, Daniel Grühn, & Jason Allaire
Latent class analysis Atlanta, Georgia August 13 -
August 14
Linda M. Collins and Stephanie T. Lanza
Latent class analysis Washington, DC October 28 - October 29 Linda M. Collins and Stephanie T. Lanza

 

A number of additional workshops are offered through the Inter-University Consortium for Political and Social Research in Ann Arbor, Michigan.  Check its website for more details.

Funding support for graduate students is available from a variety of sources.  For example, students whose mentor is a member of the Society of Multivariate Experimental Psychology can apply for travel funding to attend statistical workshops. In addition, travel support is often available through individual graduate schools. 

If travel is not a possibility this summer, check with your own university and with others in your area to learn about local continuing education workshops. 

 

Nisha Gottfredson is a graduate student in the Quantitative Psychology program at the University of North Carolina. She receives National Institutes of Health fellowship funding to study approaches for handling nonignorable missing data.