//SEM Foundations Costa Rica
SEM Foundations Costa Rica 2018-01-17T12:51:47+00:00

Structural Equation Modeling (SEM) Foundations

Comprehensive Structural Equation Modeling Statistics Seminar Costa Rica

All courses are conducted in English with Spanish language augmentation, wherein periodic summary and Q and A sessions will be conducted in Spanish.

(Los cursos serán asistidos en idioma español en los cuales resúmenes periódicos y sesiones de preguntas y respuestas (Q&A) serán efectuadas en idioma español.)

An comprehensive 2-day Stats Camp course on the Craft of SEM.

This camp is an advanced intensive short course in the using latent variable models also called structural equation models. The course will be a series of lectures and exercises to provide you with advanced training in the use of SEM for the analysis of both cross-sectional and longitudinal data. Even if you have taken a prior course on SEM, this comprehensive course will serve as a refresher on basic concepts but also introduce you to the latest advances in the craft of structural equation modeling. Participants from a variety of fields, including sociology, psychology, education, human development, marketing, business, biology, medicine, political science, and communication, will benefit from the course.

Participants will receive an electronic copy of all course 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 course.

Costa Rica Camp: February 19 – 20, 2018
University of Costa Rica, San Jose
Enrollment is Open to Public & Graduate Students


Seminar Venue: The Jade Hotel
250 mts Norte de Grupo Q, Barrio Dent, Los Yoses, San Pedro.
San Jose, Costa Rica
www.hotelboutiquejade.com

Single room $94.00 + tax or Double room $104.00 + tax
The rate includes: Breakfast buffet, Safety deposit box, Wi-Fi

Question? Please contact hotel staff members below.

recepcion@hotelboutiquejade.com

adriana@hotelboutiquejade.com


FAQ 

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
  • Multilevel and multiple group SEM
  • Using Phantom Constructs
  • Multiple group modeling
Payment Options

$725 Faculty/Professional or $625 Student/Post-Doc

Per Course Qty
Professionalshow details + $725 (USD)  
Studentshow details + $625 (USD)  

Learning Objectives

This comprehensive 2-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

Monday February 19, 2018
9:00-9:20 Welcome and introductions
9:20-10:45 Foundations of SEM, including scaling, identification, and model evaluation
10:45-11:00 Snack and refreshment break
11:00-12:30 More Foundations of SEM including extensions such a using phantom constructs
12:30-1:30 Lunch break
1:30-3:00 Optimal Item Parceling!
3:00-3:15 Snack and refreshment break
3:15-5:00 Multiple Group Models and Testing for Factorial Invariance
5:30-7:30 Networking and informal consultation time!
 Tuesday  February 20, 2018
9:00-10:45 Missing Data Mechanism and Modern Treatments
10:45-11:00 Snack and refreshment break
11:00-12:30 Mediation and How to Test It in SEM
12:30-1:30 Lunch break
1:30-3:00 Moderation and How to Test It in SEM
3:00-3:15 Snack and refreshment break
3:15-5:00 Catchup, Open Discussion, and consulting time
5:30-7:30 Networking and informal consultation

Instructor: Todd D. Little Ph.D.

todd little phd statistics instructor

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 24,500 citations with an h-index of 78 and an i10-index of 183. 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.


Esteban Montenegro

Instructor: Esteban Montenegro, M.Ed.

Esteban is a doctoral student at Texas Tech University, he belongs to the Research, Evaluation, Methods and Statistics Program (REMS) in Educational Psychology. His research focuses on invariance testing in SEM from a Bayesian perspective, but he is also interested in several topics related to latent variable models. Esteban was also instructor in Costa Rica focusing on statistical methods. He has been a Stats Camp collaborator since 2014.


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

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

Course 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 course) 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.

Course Files

Below are links to course files for those who enrolled in the course. Please download these files onto your computer 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.

Course 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 Course Resources