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.

 

 

DatesLocationInstructors
Categorical Data Analysis

 

Logistic Regression Using SASJuly 16 - July 20Philadelphia, PAPaul Allison
Logistic Regression Using StataJune 4 - June 5Philadelphia, PAPaul Allison
Modeling Relationships with Binary, Nominal, and Ordinal ResponsesJune 4 - June 8University of Kansas
Lawrence, KS
Carol Woods & Pascal Deboeck
Longitudinal Data Analysis

 

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

 

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

 

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

 

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

 

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

 

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

 

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

 

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

 

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

 

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

 

Event History and Survival Analysis Using SASJuly 23 - July 27Philadelphia, PAPaul Allison
Survival Analysis Using StataApril 13 - April 14Washington, DCPaul Allison
Other

 

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

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