Comprehensive Structural Equation Modeling (SEM) Seminar

Comprehensive Structural Equation Modeling Statistics Seminar

An comprehensive 3-day Stats Camp seminar on the Craft of SEM.

Overview: Do you want to take your measurement to the latent level? Well, this is it, you have found it, the foundation to what you need to know for latent variable modeling – structural equation modeling (SEM)! Most campers report their prior training was insufficient and/or outdated. We will introduce you to the current techniques and advances in SEM as well as guide you through the steps to ‘craft’ an exquisite SEM model.

3-Day Topics Include:

  • Phantom Constructs
  • Fitting measurement models
  • Three methods of scale setting – including effects coding!
  • Updated recommendations for Scale Validation/Evaluation
  • Multiple-Group Comparisons with applications for experimental and observational groups!
  • Factorial/Measurement Invariance – Are you measuring the same construct?
  • Extended Applications Such as Parceling and Missing Data

Participants will receive an electronic copy of all seminar materials, including lecture slides, practice datasets, software scripts, relevant supporting documentation, and recommended readings. Participants will also have access to a video recording of the seminar.

Spring Camp: February 6 – 8, 2020
Atlanta, GA – Embassy Suites


FAQ –  Hotel Booking
$1,295 Faculty/Professional or $945 Student/Post-Doc

Payment Options

This Camp Is Now Closed

VIEW ALL UPCOMING CAMPS

SEMINAR BEGINS – 9AM February 6, 2020

Venue Address: 3285 Peachtree Road NE. Atlanta, GA 30305

Hotel Reservations: Follow link above or call the reservations team at 404-266-4828. Group rate has expired, you will need to book a room at the standard rate.

Room Start date: February 5, 2020
Room End date: February 9, 2020

Scheduled Social Event: 5:30 – 7:30pm in the Mezzanine area at the Embassy Suites Buckhead on 02/06/20 for all attendees. Please wear your Stats Camp name badges to claim your free drink ticket.

Lunch, snacks and drinks including coffee,
tea, and water will be provided daily. 

Seminar fee includes all materials, downloads, software access, training, refreshments and access to a recorded video of seminar:

Enrollment is open to public, students, graduates and professionals. Save a seat today, pay later.

Topics include:

  • Design and measurement issues in cross-sectional and longitudinal research
  • Traditional panel designs
  • Overview of missing data
  • Latent growth curve modeling
  • Testing for Mediation and Moderation
  • Multiple group SEM
  • Using Phantom Constructs

Learning Objectives

This comprehensive 3-day statistics training institute on the craft of Structural Equation Modeling (SEM) will enable you to:

  • Learn both foundational concepts as well as critical new developments surrounding latent variable modeling –a comprehensive approach to learning the craft of SEM!
  • Understand the strengths and weaknesses of the different models that can be applied to both cross-sectional and longitudinal data.
  • Develop a clear understanding of how models can be specified and adapted to address your specific needs and questions.
  • Gain knowledge of the ways in which you should formulate models, test alternative models, and evaluate models with regard to statistical and practical significance.
  • Understand the mechanism of missing data and the optimal ways to treat missing data for both non-response and attrition
  • Learn how to create item parcels and employ them as optimal indicators for latent variable modeling.
  • Learn the distinction between mediation, moderation, and multiple additive effects as well as how to test for these effect in latent variable models

Syllabus

ThursdayFebruary 6, 2020
9:00-9:20Welcome and introductions
9:20-10:45Foundations of SEM and Philosophy
10:45-11:00Snack and refreshment break
11:00-12:30More Foundations of SEM including scaling, identification, and model evaluation
12:30-1:30Lunch break
1:30-3:00Foundations Continued Optimal Item Parceling!
3:00-3:15Snack and refreshment break
3:15-5:00Optimal Item Parceling!
FridayFebruary 7, 2020
9:00-10:45Missing Data Mechanism and Modern Treatments
10:45-11:00Snack and refreshment break
11:00-12:30Multiple Group Models and Testing for Factorial Invariance
12:30-1:30Lunch break
1:30-3:00Panel Models Traditional Basics
3:00-3:15Snack and refreshment break
3:15-5:00Catchup, Open Discussion, and consulting time
SaturdayFebruary 8, 2020
9:00-10:45Latent Growth Curve Models
10:45-11:00Snack and refreshment break
11:00-12:30Various Growth Curve Models and Extensions
12:30-1:30Lunch break
1:30-3:00Various Longitudinal Models and Extensions (MG)
3:00-3:15Snack and refreshment break
3:15-5:00Various Longitudinal Models and Extensions (Mediation)

Instructor: Todd D. Little Ph.D.

Todd D. Little, PhD is a Professor and director of the Institute for Measurement, Methodology, Analysis and Policy at Texas Tech University. He is widely recognized for his quantitative work on various aspects of applied SEM (e.g., modern missing data treatments, indicator selection, parceling, modeling developmental processes) as well as his substantive developmental research (e.g., action-control processes and motivation, coping, and self-regulation). His work has garnered over 31,337 citations with an h-index of 86 and an i10-index of 204. In 2001, he was elected to membership in the Society for Multivariate Experimental Psychology, and in 2009, he was elected President of APA’s Division 5 (Evaluation, Measurement, and Statistics). He is a fellow in APA, APS, and AAAS. In 2013, he received the Cohen award from Division 5 of APA for distinguished contributions to teaching and mentoring and in 2015 he received the inaugural distinguished contributions award for mentoring developmental scientists from the Society for Research in Child Development. Both awards cited his founding of Stats Camp (Statscamp.org) in 2003 and its ongoing impact on shaping the quality of scientific inquiry for both past and future generations of researchers. Download CV (PDF)

Instructor: Elizabeth Grandfield Ph.D.

Elizabeth is a Ph.D. in Quantitative Psychology at the University of Kansas. Her research focuses on evaluating measurement invariance with an emphasis in longitudinal designs. In areas of applied research, Elizabeth has been involved in longitudinal children studies at Juniper Gardens as well as a national nursing study at Kansas University Medical Center, both in Kansas City. She also received the 2011 Multivariate Software Award, presented by Peter Bentler and Eric Wu. Elizabeth has been involved in Stats Camp since 2012.

Software and Computer Support

Participants need to bring a laptop computer with Wi-Fi capabilities. We strongly recommend that you also bring an extension cord or power strip plugs are often at a 10 – 15′ distance from your desk.

All statistical software used at Stats Camp will be available, free to participants, on our SMORS (statistical modeling on remote servers) system for the duration of camp.

The seminar will support LISREL, Mplus and laavan. Previous knowledge of LISREL, Mplus or laavan is preferred but not required.

Seminar Prerequisites

Required:

  • Proficiency in multiple linear regression.
  • At least limited experience with continuous latent variable models, e.g., exploratory and confirmatory factor analysis (EFA; CFA) and structural equation modeling (SEM).
  • Intermediate proficiency with at least one statistical software package (e.g., SPSS, Stata, SAS, R, LISREL, Mplus, etc.).

Not required but advantageous:

  • At least limited experience (e.g., graduate-level seminar) with multivariate data analysis.

No level of proficiency beyond basic awareness is assumed for skills related to:

  • Longitudinal SEM.
  • Modern missing data treatments
  • Parceling procedures
  • Multiple group SEM
  • Advanced mathematical or statistical topics such as matrix algebra or likelihood theory.

Seminar Files

Files will  be provided on the first day of the course.  The files are password protected to respect the intellectual property rights of the instructors. By using your login information, you agree not to share your login information or the content protected by it.

Seminar files and downloads will be posted on the first day of class.

Why Should You Attend?

  • Get 1 on 1 Consultation With Instructor
  • Professional Networking
  • Peer Socializing
  • Collaboration
  • All Seminar Resources
  • Breakfast (Embassy guests), Lunches, & Snacks Daily