From the Science Student Council

Summer statistics workshops

A listing of upcoming training opportunities for psychologists.

By Stephen Mistler

Psychological research often requires the use of advanced quantitative methods. Unfortunately, instruction on these methods is not available at all universities. Summer statistics 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 statistical analysis techniques being offered in the United States in the months of May, June and July. Please note that some of the summer workshops have early registration deadlines. For example, two of APA’s advanced training institutes have application deadlines of March 20. Be sure to check the individual web pages for the workshops in which you are interested for registration deadlines and other important information.

 

 

 

Dates Location Directors
Bayesian Data Analysis

 

Applied Bayesian Data Analysis June 10 - June 14 University of Kansas
Lawrence, Kan.
William Skorupski and Paul Johnson
Doing Bayesian Data Analysis July 15 - July 19 Indiana University
Bloomington, Ind.
John Kruschke
Categorical Data Analysis

 

Logistic Regression Using SAS June 6 - June 7 Temple University Center City
Philadelphia, Pa.
Paul Allison
Longitudinal Data Analysis

 

Alternatives to Difference Scores: Polynomial Regression and Response Surface Methods May 16 - May 18 Wayne State University
Detroit, Mich.
Jeff Edwards
Analyzing Developmental Trajectories June 3 - June 5 University of Massachusetts Amherst
Amherst, Mass.
Daniel Nagin
Analyzing Intensive Longitudinal Data June 25 - June 28 University of Massachusetts Amherst
Amherst, Mass.
Jean-Philippe Laurenceau 
and Niall Bolger
Applied Multilevel Models for Longitudinal Data July 8 - July 12 University of Colorado, Boulder
Boulder, Colo.
Lesa Hoffman
Longitudinal Data Analysis including Categorical Outcomes June 10 - June 14 ICPSR
Ann Arbor, Mich.
Donald Hedeker
Longitudinal Data Analysis Using Stata June 20 - June 21 Boston Common Hotel and Conference Center
Boston, Mass.
Paul Allison
Modeling Intraindividual Observations June 17 - June 21 University of Kansas
Lawrence, Kan.
Pascal Deboeck
Panel Data Analysis using Stata June 10 - June 14 ICPSR
Ann Arbor, Mich.
David Drukker
Structural Equation Modeling: Advanced Longitudinal Modeling June 10 - June 14 University of Kansas
Lawrence, Kan.
Todd Little
Structural Equation Modeling in Longitudinal Research May 28 - June 1 University of California, Davis
Davis, Calif.
John McArdle,
Kevin Grimm 
and Emilio Ferrer
Measurement

 

Item Response Theory: Foundations of Test Development and Validation June 17 - June 21 University of Kansas
Lawrence, Kan.
William Skorupski
Measure Development and Evaluation May 13 - May 15 Wayne State University
Detroit, Mich.
Lisa Lambert
Mediation/Moderation

 

Mediation Analysis June 17 - June 18 Portland State University
Portland, Ore.
David MacKinnon
Mediation and Moderation May 16 - May 18 Wayne State University
Detroit, Mich.
Mark Gavin
Mediation and Moderation July 15 - July 19 The Hub Commerce Square
Philadelphia, Pa.
Andrew Hayes 
and Kristopher Preacher
Mediation and Moderation: Modern Methods and Approaches June 17 - June 21 University of Kansas
Lawrence, Kan.
Paul Jose and Alex Schoemann
Meta-Analysis

 

Foundations of Meta-Analysis June 10 - June 14 University of Kansas
Lawrence, Kan.
Noel Card
Meta-Analysis: Models & Processes May 13 - May 15 Wayne State University
Detroit, Mich.
Mike McDaniel
Missing Data

 

Missing Data May 17 - May 18 Jamaica Bay Inn
Marina del Rey, Calif.
Paul Allison
Missing Data: An Introduction to the Analysis of Incomplete Datasets June 24 - June 28 Indiana University
Bloomington, Ind.
Tenko Raykov
Multilevel Modeling

 

Applied Multilevel Models for Cross-Sectional Data July 15 - July 19 University of Colorado, Boulder
Boulder, Colo.
Jonathan Templin
Hierarchical Linear Models I: Introduction June 10 - June 14 University of Massachusetts Amherst
Amherst, Mass.
Aline Sayer and Mark Manning
Hierarchical Linear Models II: Special Topics July 9 - July 12 ICPSR
Ann Arbor, Mich.
Aline Sayer and Stephen Raudenbush
HLM Short Course July 11 - July 13 Carnegie Foundation
Stanford, Calif.
Stephen Raudenbush and Anthony Bryk
Multi-Level Analysis May 16 - May 18 Wayne State University
Detroit, Mich.
Paul Bliese
Multilevel Modeling May 13 - May 17 Curren-Bauer Analytics
Chapel Hill, N.C.
Patrick Curren 
and Daniel Bauer
Multilevel Modeling Aug. 12 - Aug. 16 North Carolina State University
Raleigh, N.C.
Shevaun Neupert
Multilevel Modeling: Foundations and Applications June 10 - June 14 University of Kansas
Lawrence, Kan.
Kristopher J. Preacher and James P. Selig
Multi-Level Theory & Measurement May 13 - May 15 Wayne State University
Detroit, Mich.
James LeBreton
Network Analysis

 

Network Analysis: A Second Course June 24 - June 28 ICPSR
Ann Arbor, Mich.
Stanley Wasserman 
and Hank Green
Network Analysis: An Introduction June 17 - June 21 ICPSR
Ann Arbor, Mich.
Hank Green 
and Stanley Wasserman
Social Network Analysis May 13 - May 15 Wayne State University
Detroit, Mich.
Rich DeJordy
Social Network Analysis: An Introduction July 15 - July 19 University of California, Berkeley
Berkeley, Calif.
Katherine Faust
Social Network Analysis with Siena June 17 - June 21 University of Kansas
Lawrence, Kan.
Christian E. G. Steglich
Power and Sample Size

 

Power and Sample Size May 10 - May 11 Temple University Center City
Philadelphia, Pa.
Christopher Aberson
Statistical Power and Sample Size Determination June 21 - June 22 Portland State University
Portland, Ore.
Chris Aberson
Research Methods

 

Designing, Conducting, and Analyzing Field Experiments June 17 - June 19 Fordham University
New York, N.Y.
Donald Green
Randomized Controlled Trials (RCT) for Clinical and Behavioral Settings June 3 - June 7 University of Kansas
Lawrence, Kan.
Amber Watts 
and Chantelle Dowsett
Structural Equation Modeling

 

Advanced SEM June 10 - June 14 University of Kansas
Lawrence, Kan.
Wei Wu,
Mijke Rhemtulla,
Alexander Schoemann, 
and Kristopher Preacher
Advanced SEM I: Measurement Invariance, Latent Growth Modeling and Nonrecursive Modeling May 13 - May 15 Wayne State University
Detroit, Mich.
Robert Vandenberg
Advanced SEM II: Missing Data Issue in SEM, Multi-level SEM and Latent Interactions May 16 - May 18 Wayne State University
Detroit, Mich.
Robert Vandenberg
Intermediate SEM: Model Evaluation May 16 - May 18 Wayne State University
Detroit, Mich.
Larry Williams
Introduction to Spatial Regression Analysis June 24 - June 28 University of North Carolina at Chapel Hill
Chapel Hill, N.C.
Carolina Perez-Heydrich 
and Paul Voss
Introduction to Structural Equation Methods May 16 - May 18 Wayne State University
Detroit, Mich.
Larry Williams
Latent Variable Modeling Aug. 13 - Aug. 14 North Carolina State University
Raleigh, N.C.
Daniel Grühn
Modeling and Data Analysis with Mplus June 17 - June 21 University of Kansas
Lawrence, Kan.
Rens van de Schoot
Monte Carlo Simulation and Resampling Methods for Social Scientists June 10 - June 14 University of North Carolina at Chapel Hill
Chapel Hill, N.C.
Thomas Carsey
Partial Least Squares June 20 - June 21 Boston Common Hotel and Conference Center
Boston, Mass.
Joe Hair 
and Marko Sarstedt
Structural Equation Models and Latent Variables: An Introduction June 17 - June 21 University of North Carolina at Chapel Hill
Chapel Hill, N.C.
Kenneth Bollen
Structural Equation Modeling May 20 - May 24 Curren-Bauer Analytics
Chapel Hill, N.C.
Patrick Curren 
and Daniel Bauer
Structural Equation Modeling: A Short Course May 10 - May 11 Temple University Center City
Philadelphia, Pa.
Gregory Hancock
Structural Equation Modeling: Advanced Longitudinal Modeling June 10 - June 14 University of Kansas
Lawrence, Kan.
Todd Little
Structural Equation Modeling: Foundations June 3 - June 7 University of Kansas
Lawrence, Kan.
Todd Little and Noel Card
Structural Equation Modeling in Longitudinal Research May 28 - June 1 University of California, Davis
Davis, Calif.
John McArdle,
Kevin Grimm, 
and Emilio Ferrer
Time Series Analysis

 

Dynamic Models for Policy, Economics, and Society: Time Series Methods July 22 - July 26 ICPSR
Ann Arbor, Mich.
Harold Clarke
Time Series Analysis: An Introduction for Social Scientists July 15 - July 19 ICPSR
Ann Arbor, Mich.
Mark Pickup
Other

 

Applied Latent Class Analysis and Finite Mixture Modeling June 10 - June 14 University of Kansas
Lawrence, Kan.
Todd Little
Data Analysis with R June 3 - June 7 University of Kansas
Lawrence, Kan.
Paul Johnson 
and Pascal Deboeck
Exploratory Data Mining in Behavioral Research June 3 - June 7 University of California, Davis
Davis, Calif.
John McArdle,
Gilbert Ritschard,
George Marcoulides, 
and Kevin Grimm
Event History and Survival Analysis July 15 - July 19 The Hub Commerce Square
Philadelphia, Pa.
Paul Allison
Grounded Theory Method and Analysis May 13 - May 15 Wayne State University
Detroit, Mich.
Karen Locke
Introduction to R and Data Mining May 16 - May 18 Wayne State University
Detroit, Mich.
Jeff Stanton
Latent Class and Latent Transition Analysis June 19 - June 20 Portland State University
Portland, Ore.
Stephanie Lanza
Models for Categorical Outcomes Using Stata: Specification, Estimation, and Interpretation July 8 - July 12 ICPSR
Ann Arbor, Mich.
Scott Long
Multiple Regression August 12 North Carolina State University
Raleigh, N.C.
Jason Allaire
Nonlinear Methods for Psychological Science June 17 - June 21 University of Cincinnati
Cincinnati, Ohio
John Holden,
Kevin Shockley,
Michael Riley, 
and Michael Richardson
Programming Estimation Commands in Stata and Mata June 17 - June 18 ICPSR
Ann Arbor, Mich.
David Drukker
Statistical Literacy June 3 - June 7 University of Kansas
Lawrence, Kan.
Vicki Peyton 
and Patricia Hawley
The Workflow of Data Analysis using Stata June 17 - June 21 University of Massachusetts Amherst
Amherst, Mass.
Scott Long

 

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.