FROM THE SCIENCE STUDENT COUNCIL
Summer statistics training opportunities
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.
