Structural Equation Modeling: A Second Course

A 3-Day Seminar Taught by Gregory R. Hancock, Ph.D. 

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Structural equation modeling (SEM) is a versatile analytical framework for estimating and assessing models that describe relations among both measured and latent variables. Common examples include measured variable path models, confirmatory factor models, and latent variable path models. These models subsume methods based on the traditional general linear model such as multiple regression and analysis of variance. 

This seminar goes beyond introductory SEM to cover more advanced methods that enable researchers to address their current modeling questions more effectively and also to focus on entirely new research questions. After a review of SEM basics, we will cover real data challenges (e.g., missing data, nonnormality, complex samples, categorical data), mean structure models for measured and latent variables, models for latent variable interactions, latent growth curve models, and power analysis in SEM. The style of instruction is designed for participants with a variety of content backgrounds. Examples will be presented using both Mplus and the SIMPLIS language within LISREL.

This is a hands-on course with lots of in-class practice exercises. Participants are strongly encouraged to bring their own laptop PCs to use either Mplus (for those students who already have the software) or the free student version of LISREL (which participants will be instructed on how to download prior to the course). Participants may use other SEM packages as well, although explicit in-class support will not be provided.


WHO SHOULD ATTEND

The course will benefit applied researchers, analysts, and students interested in enhancing their understanding of SEM and developing their application skills. Participants are assumed to have been exposed to introductory SEM, such as that offered through an in-depth workshop or a typical university course, including such topics as measured variable path models, confirmatory factor models, latent variable path models, multigroup models, identification, estimation, fit, and SEM software implementation


Seminar Outline

  • Review of SEM and software basics
  • Real data challenges
    • missing data
    • nonnormality
    • complex samples
    • categorical data
  • Mean structure models for measured and latent variables
  • Latent variable Interactions
  • Latent growth curve models
  • Power analysis in SEM

LOCATION AND MATERIALS 

The course meets 9 a.m. to 5 p.m. on Thursday, June 4, Friday, June 5 and Saturday, June 6 at Temple University Center City, 1515 Market Street, Philadelphia, PA.

Participants receive a bound manual containing detailed lecture notes (with equations and graphics), examples of computer printout, and many other useful features. This book frees participants from the distracting task of note taking. 


REGISTRATION AND LODGING

The fee of $1395 includes all seminar materials. 

Lodging Reservation Instructions

A block of guest rooms has been reserved at the Club Quarters Hotel, 1628 Chestnut Street, Philadelphia, PA at a special rate of $147 per night for a Standard room. This location is about a 5 minute walk to the seminar location. In order to make reservations, call 203-905-2100 during business hours and identify yourself by using group code STA603. For guaranteed rate and availability, you must reserve your room no later than May 3, 2015.


RECENT COMMENTS FROM PARTICIPANTS

“I entered this course as a beginner in SEM with basic experience with AMOS. My goal was to gain some exposure to the more advanced capabilities of SEM and also to MPlus in general. Dr. Hancock did an excellent job of making complex material understandable and applying to different SEM software. I feel more confident in being able to tackle these issues in my future work.”
  Joan Monin, Yale School of Public Health

“I really thank you for the really effective teaching style and also for the way the topic was tackled. This course is really useful and completed my understanding of the possible applications of SEM.”
  Simona Naspetti, Università Politecnica delle Marche

“Dr. Hancock is a brilliant researcher and he has a lot of experience working in experimental research. He answers questions in a detailed and funny manner.”
  Juan Enrique Huerta, UPAEP

“This class was a great next step in my SEM training. Good exposure to a range of more advanced applications. The instructor was very clear and the course moved at a nice pace.”
  Abigail Gray, University of Pennsylvania

“Without this course, I would not have been able to approach my current grant proposal with the level of sophistication Dr. Hancock presented. A fantastic advanced yet accessible course.”
  Lenny Lopez, Massachusetts General Hospital

“SEM: A Second Course was well worth my time and money. Gregory Hancock was an amazing instructor. He explained the concepts very clearly, and he included wonderful humor, storytelling, and analogies to help us understand the concepts. I wish all of my graduate students could take this course. I highly recommend it.”
  Jennifer Kam, University of Illinois at Urbana-Champaign

“An excellent course! Dr. Hancock provided clear and accessible instruction while addressing the relevance, limitations and applicability of various models and approaches.”
  Lynn Hempel, University of Colorado 

“The teacher has outstanding skills to convey very technical R advanced theory into effective learning rational with no frills but all of the essentials. A pure distilled piece of knowledge-very good value for the money! If you want to dig into SEM and have limited time, that’s the advance course to take!”
  Raffaele Zanoli, Università Politecnica delle Marche