Structural Equation Modeling: A First Course
This three-day course assumes no prior experience with SEM, and is intended as both a theoretical and practical introduction. An understanding of SEM will be developed by relating it to participants’ previous knowledge of multiple linear regression, and then by expanding it to allow for correlated and causally related latent constructs. We will start with path analysis among measured variables, move into confirmatory factor models, then structural models involving latent causality, and finally into multi-group models and a preview of more advanced topics. Examples from a variety of disciplines will be accompanied by example code and output from the Mplus software package. Throughout the course participants will be able to do practice exercises using Mplus.

Structural Equation Modeling: A Second Course
This two-day course assumes experience with introductory level SEM, such as that provided in our first course (immediately preceding this course, or taken previously) or from a fairly typical university course exposure elsewhere. Content covered will draw, as time allows, from such topics as: latent means models, latent interactions, latent growth models, categorical data, complex samples / multilevel structural equation models, and power analysis in SEM. Although this material is necessarily more complex, it will be presented in an approachable hands-on manner for the applied researcher. Throughout the course participants will be able to do practice exercises using Mplus.

Graduate students, emerging researchers, continuing researchers

Structural Equation Modeling: A First Course
Participants should have a foundational knowledge up through multiple regression. Prior experience with exploratory factor analysis and multivariate methods is a plus, but not required. Prior experience with the Mplus software is also not required.

Structural Equation Modeling: A Second Course
Participants should have a solid foundation in introductory structural equation modeling. Prior experience with the Mplus software is not required. Prior experience with the Mplus software is also not required.

Structural Equation Modeling: A First Course
January 4-6, 2021: 9:00-4:30 Eastern Daylight Time (UTC-4)

Structural Equation Modeling: A Second Course
January 7-8, 2021: 9:00-4:30 Eastern Daylight Time (UTC-4)

Instructor will determine timing of lunch break, as well as morning and afternoon breaks.

First Course Only:  Professional $495, Full-time student* $295

Second Course Only:  Professional $345, Full-time student* $195

Both First and Second Course: Professional $795, Full-time student* $455

*Full-time students must submit student status proof at https://go.umd.edu/CILVR-STUDENT for prompt processing of the registration.

Free for registered HDQM Department faculty and HDQM degree-seeking students, although you must register through the internal link. 

REFUND POLICY: Full refund if cancellation occurs at least 10 business days prior to the workshop date; 50% refund if within 10 days of the first day of the course.

Registration for one or both SEM short courses for professional and full-time student (non-HDQM) participants:

- First Course only: https://go.umd.edu/SEM2021-FirstCourse

- Second Course only: https://go.umd.edu/SEM2021-SecondCourse 

- Both Courses: https://go.umd.edu/SEM2021

- After payment, full-time students must also submit the student status proof at https://go.umd.edu/CILVR-STUDENT  for prompt processing of the registration. Note that it may take 2-3 business days for your registration to be processed.

CILVR short course bundle registration:

- Participants who wish to register for multiple CILVR short courses in 2020-2021 as a bundle and obtain ONE receipt for the bundle registrations can submit the request at https://go.umd.edu/CILVR-BUNDLE

HDQM faculty/student registration:

- HDQM department registrants can register using the following registration form after logging into the UMD Gmail account: https://go.umd.edu/SEM-2021-HDQM

This workshop will be delivered entirely online via the video conferencing software Zoom (https://zoom.us/). 

Within a limited time, the video recordings of the short course will be available for both synchronous and asynchronous participants on Vimeo (https://vimeo.com/). The videos will be available for one month from the first date of the short course.

UNDERREPRESENTED GROUPS

Support for students from Underrepresented Groups to attend methodological workshops (from the Society of Multivariate Experimental Psychology):

https://www.smep.org/resources/underrepresented-fellowships

Format: Participants will receive a personalized login code to use on their own computer to access a reliable live-stream of the short course over Zoom, showing the instructor as well as the handouts.

Materials: Participants will receive electronic copies of the short course materials, as well as any other relevant materials or information.

Timing/access: Participants may choose to watch the stream synchronously, or may elect to watch a recording of the short course asynchronously, or both. Recordings will be available to participants for 30 days following the end of the short course. This is especially useful for on-line participants in different time zones who may choose to watch at some later time than (but within two weeks of) the actual short course time. (Asynchronous participation does not include real-time chat with other on-line participants, although a visual record of prior chats will be viewable).

Technical support: Participants are responsible for installing the conferencing software Zoom on their own electronic devices and for obtaining a Zoom account that allows the participant to join Zoom meetings and webinars hosted by external organizations. Participants are assumed to be able to secure a reliable computer, internet browser, and Wi-Fi connection. Challenges at the user end must be resolved by the user. Fortunately, because the short course is recorded, users experiencing technical challenges can still “catch up” by watching the recordings to which they have access.

Content support: During the lecture, real-time content support for on-line participants is mostly limited to real-time chat with the on-line (Zoom) participant community and any quantitative methodology doctoral students who might also be participating. Participants may have direct interactions with the instructor in some format during the practice sessions. On-line participants may e-mail the instructor for further content support that cannot be addressed in real-time.

For any questions, please contact Ms. Yi Feng -- sem2021.cilvr@gmail.com

Gregory R. Hancock is Professor, Distinguished Scholar-Teacher, Director of the Measurement, Statistics, and Evaluation program in the Department of Human Development and Quantitative Methodology at the University of Maryland, College Park, and Director of the Center for Integrated Latent Variable Research (CILVR). He is also co-host of the popular quantitative methods podcast Quantitude. His research interests include structural equation modeling and latent growth models, power, reliability, and the use of latent variables in (quasi)experimental design. His research has appeared in such journals as Psychometrika, Multivariate Behavioral Research, Structural Equation Modeling: A Multidisciplinary Journal, Psychological Methods, British Journal of Mathematical and Statistical Psychology, Journal of Educational and Behavioral Statistics, Educational and Psychological Measurement, Review of Educational Research, and Communications in Statistics: Simulation and Computation. He also co-edited the volumes Structural Equation Modeling: A Second Course (2006; 2013), The Reviewer's Guide to Quantitative Methods in the Social Sciences (2010; 2019), Advances in Latent Variable Mixture Models (2008), Advances in Longitudinal Methods in the Social and Behavioral Sciences (2012), and Advances in Latent Class Analysis: A Festschrift in Honor of C. Mitchell Dayton (2019). He is past chair of the SEM special interest group of the American Educational Research Association (three terms), serves on the editorial board of a number of journals including Psychological Methods, Multivariate Behavioral Research, and Structural Equation Modeling: A Multidisciplinary Journal, and has taught over 200 methodological workshops in the United States, Canada, and abroad. He is a Fellow of the American Psychological Association, American Educational Research Association, Association for Psychological Science, Society of Multivariate Experimental Psychology, and also received the 2011 Jacob Cohen Award for Distinguished Contributions to Teaching and Mentoring by the American Psychological Association. Dr. Hancock holds a Ph.D. from the University of Washington. He may be reached at ghancock@umd.edu.