These are stand-alone workshops related to quantitative and qualitative methods. This list is for information purposes only. To add a workshop, contact the Div. 5 website coordinator, Alex Beaujean.

Research Methodology Center Advanced Methods Workshops

All workshops are held in Columbus, Ohio, at the EHE Research Methodology Center at The Ohio State University.

For more information or to register, visit the Research Methodology Center Website.

Introduction to Latent Variable Modeling with Confirmatory Factor Analysis and General Structural Models

The workshop will cover two common types of structural equation models: Confirmatory factor analysis, and general structural models (hypothesis-testing models with latent variables).

March 23-24, 2018
Instructor: Natasha Bowen

Analysis Methods for Clustered and Hierarchical Data: SPSS, HLM and R

This workshop will introduce fundamental concepts and practical applications of modeling methods for clustered or hierarchically-structured data, including cluster-robust inference and methods for hierarchical linear or multilevel models.

April 20-21, 2018
Instructor: Ann O’Connell

Curran-Bauer Analytics

All workshops are held in Chapel Hill, NC.

For more information about the series or to register, visit the Curran-Bauer Analytics website.

Network Analysis

May 9-11, 2018
Instructor: Doug Steinley

Multilevel Modeling

May 21-25, 2018
Instructors: Dan Bauer and Patrick Curran

Latent Class/Cluster Analysis & Mixture Modeling

June 4-8, 2018
Instructors: Dan Bauer and Doug Steinley

Structural Equation Modeling

June 18-22, 2018
Instructors: Dan Bauer and Patrick Curran

Longitudinal Structural Equation Modeling

June 25-29, 2018
Instructors: Dan Bauer and Patrick Curran

Summer Program in Quantitative Methods of Social Research

The Inter-university Consortium for Political and Social Research (ICPSR) has offered the ICPSR Summer Program in Quantitative Methods of Social Research as a complement to its data services. The ICPSR Summer Program provides rigorous, hands-on training in statistical techniques, research methodologies and data analysis.

Dynamical Systems Analysis

This course provides an applied introduction to the statistical methods used in dynamic systems modes, including discussion of how to think about research questions from a dynamical systems perspective, how to generate dynamical systems hypotheses and how to interpret results of dynamical systems analyses.

For more information, visit the course page.

May 14-18
Instructors: Jonathan Butner and Brian Baucom
Location: University of Utah (Salt Lake City, UT)

Dependencies Across Time and Space

This workshop is designed to provide methods for large and complex datasets with observations that are indexed in time and/or space, building from simple spatial models to incorporate the time dimension in more complex spatio-temporal models.

For more information, visit the course page.

May 14-18
Instructors: Simon Brewer
Location: University of Utah (Salt Lake City, UT)

Society for Qualitative Inquiry in Psychology (SIOP) 2018 Conference

Doing Phenomenological Analysis in Psychology: Experiences of Schizophrenic Persons in a Community with an After-Care Program

This pre-conference workshop introduces participants to qualitative analysis as developed in phenomenological psychology.

May 20, 2018
Instructor: Frederick J. Wertz
Location: Duquesne University
Contact: Frederick J. Wertz

Enablytics Workshops

All workshops are held at Ryerson University (Toronto, Ontario, Canada) and taught by Scott Colwell.

For more information about this series, visit the Enablytics website or contact Scott Colwell.

Introduction to Structural Equation Modeling

This two-day hands-on workshop covers the basics of structural equation modeling including path modeling, confirmatory factor analysis, measurement invariance, latent variable structural equation modeling, mediation, moderation and comparison of competing models (Mplus and R). 

May 10-11, 2018

Multilevel Modeling

This two-day hands-on workshop covers various topics in multilevel modeling including when multilevel modeling is necessary, multilevel regression, multilevel path analysis with mediation, random slopes and intercepts, multilevel confirmatory factor analysis, latent variable multilevel modeling, modeling cross-level effects and multilevel modeling of longitudinal diary data (Mplus and R).

May 17-18, 2018

Growth Modeling

This two-day hands-on workshop covers various topics in growth modeling including growth modeling without covariates, growth modeling with time invariant and varying covariates, centering points, piecewise growth modeling, autoregressive latent trajectory modeling (ALT model) and missing data in growth modeling (Mplus and R). 

June 21-22, 2018

Simulation in Theory and Practice

This statistical simulation course will cover theory, planning, summarizing simulations, and estimating the adequacy of simulations.

For more information, visit the Advanced Quantitative Methods Summer School 2018 website.

May 15, 2018 
Instructor: Prathiba Natesan
Location: Oxford University, UK 

Summer Quantitative Method Series

This series of one- and two-day classes on data analysis will be taught by nationally recognized experts, and held at Portland State University in Portland, Oregon.

For more information on the series, visit the Summer Quantitative Method Series website or contact Jason Newsom.

Introduction to R for Statistical Analysis

June 17, 2018
Instructor: David Caughlin

Introduction to R for Statistical Analysis

June 17, 2018
Instructor: David Caughlin

Data Visualization with R

June 18, 2018
Instructor: David Gerbing

Advanced R Programming for Statistical Analysis and Data Management

June 19, 2018
Instructor: Joel S. Steele

Introduction to Structural Equation Modeling using R

June 20-21, 2018
Instructor: Alex Beaujean

Longitudinal Structural Equation Modeling

June 22-23, 2018
Instructor: Jason T. Newsom

Multilevel Structural Equation Modeling

The workshop covers basic and advanced multilevel modeling with an emphasis on MSEM, all using Mplus.

For more information, visit the Statistical Horizons public seminars page.

July 30-Aug. 3, 2018 
Instructor: Kris Preacher
Location: Philadelphia, PA 

The Meta-Analysis Training Institute

The Meta-Analysis Training Institute is a one-week intensive workshop aimed at teaching state-of-the-art advanced meta-analytic methods to researchers interested in conducting large-scale reviews of important educational research topics.

For more information, visit the Meta-Analysis Training Institute website.

Aug. 5-11, 2018
Location: Loyola University Water Tower Campus, Chicago, IL
Contact: Terri Pigott