David A. Kenny
December 23, 2009

DATIC
Data Analysis Training Institute of Connecticut

Workshop on Structural Equation Modeling

THIS WORKSHOP IS SOLD OUT. ASK TO BE ON THE WAITLIST

Instructors: David A. Kenny and Stephanie Milan (University of Connecticut)

Dates: June 14-18, 2010

Main DATIC Website

Overview

Registration Details

Benefits

Curriculum

Recommended Reading


Overview

A one-week workshop on Structural Equation Modeling will be held at the University of Connecticut from Monday June 14 through Friday June 18, 2010.  The focus is on linear models with continuous outcomes.

Among the topics covered to be covered are the basic terms, path analysis, confirmatory factor analysis, and latent variable modeling.  Topics NOT to be covered are categorical and ordinal outcomes, models with feedback, and models with means.  Also, we do not plan to discuss explicitly longitudinal modeling, but some of the methods can be used for longitudinal models.  Participants will learn how to set up a structural equation model (SEM) and be able to interpret the results from their analyses.  Participants are expected to have a working knowledge of multiple regression.  Instruction consists of lecture, computer workshops, and individualized consultations.  The emphasis will be practical with minimal emphasis on statistical theory.  The instructors and a teaching assistant will also be available for individual meetings.

The computer workshop will use the program AMOS graphics.  No prior experience with AMOS is required. Also in meetings with individual participants, alternative programs (e.g., LISREL, EQS, Mplus) will be discussed.

Because the number of spaces is limited, please apply soon to reserve a space.  To register, send an email to DATIC staff, and complete the registration form (click here to get the form).

Participants are encouraged to bring their own data, though it is not necessary to do so.  They should contact the staff beforehand to ensure that data are appropriately formatted for analysis.

Registration Details

Dates and Times

Optional Opening Reception on Sunday June 13, at 6:00PM

Monday June 14 to Friday June 18, 2010

Schedule

9AM to 4:30PM Monday-Thursday

9AM to 12PM Friday with complimentary luncheon

Location


Cost

Registration

  • Link to Regform.doc (please send check made payable to the University of Connecticut)


Benefits

The following materials and events are included in the cost of the workshop:

  • Binder with workshop outline, computer outputs, and reprints
  • Continental breakfast each morning
  • Friday luncheon
  • Sunday pre-workshop reception


Curriculum (to be adapted somewhat to the specific needs of participants)

Day 1: Basic Terms and Path Analysis

  • Review of Multiple Regression
  • Basic Vocabulary of SEM
  • Steps in SEM
    • Specification
    • Identification
    • Estimation
    • Testing
  • Path Analysis
  • Model Testing and Respecification
  • Estimation of Path Models
  • Lab

Day 2: Confirmatory Factor Analysis

  • Latent Variables
  • Brief Description of Exploratory Factor Analysis
  • The Basics of Confirmatory Factor Analysis
  • Identification
  • Problems
    • Discriminant validity
    • Heywood cases
    • Empirical underidentification
    • Single indicator variables with known reliability
  • Respecification
    • What to respecify
    • Tools for Respecification
  • Lab

 

Day 3: Hybrid Models

  • Combining Path Analysis and Confirmatory Factor Analysis
    • Measurement Model: CFA
    • Structural Model: Path Analysis
    • df of model = df of CFA + df of Path Analysis
  • Model Comparisons
  • Measuring Fit
  • Respecification of the Measurement Model (CFA)
  • Lab

Day 4: Mediation and Moderation in SEM

  • Mediation in Latent Variable Models
    • Basic mediation equation
    • The Four Baron & Kenny Steps
    • Using SEM to estimate and test mediation
    • Specification error and alternative models
    • Bootstrapping to test indirect effects
  • Moderation
    • Definition
    • Linear and nonlinear moderation
    • Multi-group options in AMOS
    • Tests of moderation
  • Dealing with Problem Models
  • Lab

Day 5: Remaining Issues

  • Missing Data
  • Non-normal Distributions
  • Alternative Programs
  • Standardization
  • Specialized Latent Variable Models
  • Examples of Longitudinal Models in SEM
  • Limits and Potential of SEM

Noon LUNCHEON

 


Recommended Reading




 

Main DATIC Website

Overview

Registration Details

Benefits

Curriculum

Recommended Reading