APA Acredited Statistics Training
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LIVE STREAM – 4-day Statistics Short Course

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Seminar Overview:

An introductory 4-day seminar covering SEM with a focus on the statistical software R.

Seminar Topics:

  • Confirmatory Factor Analysis
  • Multiple group models
  • Structural models
  • Mediation and moderation with latent variables
  • Longitudinal models

Seminar Description:

This seminar is designed to introduce the theoretical and applied understandings of latent variable models also called SEM. Topics covered include confirmatory factor analysis models, multiple group models, mediation, moderation, and longitudinal models. Using real datasets provided in the seminar, participants will learn how to use the lavaan package in the R software program to analyze data and interpret results. Participants from a variety of fields, including sociology, psychology, education, human development, marketing, business, biology, medicine, political science, and communication, will benefit from the seminar.

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.

Instructor: Alex Schoemann, Ph.D.

Dr. Alexander M. Schoemann, is an Associate Professor of Psychology at East Carolina University. Alex received his PhD from the University of Kansas in 2011 in Social and Quantitative Psychology under the mentorship of Dr. Kristopher Preacher. He has been a Stats Camp instructor since 2012 (after spending several years as a “counselor”). Alex teaches graduate courses in research design, regression, multivariate statistics, structural equation modeling and multilevel modeling. His research is focused on applying advanced quantitative methods to data from behavior sciences. Specific topics of interest include mediation and moderation, power analyses, missing data estimation, meta-analysis, structural equation models and multilevel models. Alex is also interested in developing user friendly software for advanced methods including applications for power analysis for mediation models (http://marlab.org/power_mediation/).

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APA Continuing Education Credits:

This course offers 16 hours of Continuing Education Credits. Yhat Enterprises, LLC is approved by the American Psychological Association to sponsor continuing education for psychologists. Yhat Enterprises, LLC maintains responsibility for this program and its content.

Seminar Includes:

Materials, downloads, recorded course video viewable for up to one year.

Learning Objectives:

This comprehensive 3-day statistics training institute on (SEM) using R will enable participants to:

After engaging in course lectures and discussions as well as completing the hands-on practice activities with real data, participants will be able to:

  • Acquire an understanding of structural equation modeling techniques as applied in the educational, social, health, and behavioral sciences
  • Manage and clean data for analysis
  • Specify, estimate, evaluate, and compare different structural equation models using R software
  • Interpret and present the results of a structural equation modeling analysis
  • Critically evaluate applications of structural equation modeling in scientific studies
  • Become acquainted with structural equation modeling for multiple group and longitudinal data.

Participants will also complete the course with a foundation for future learning about structural equation modeling and knowledge about available resources to guide such endeavors.

Seminar Prerequisites:

–       Required:

  • Advanced proficiency in multiple linear regression, including use of categorical independent variables.
  • Intermediate fluency with statistical software (e.g. SAS, SPSS, or R) which will aid in the use of R (Note that materials for introducing attendees to R software will be shared in advance and the course will begin with a short introduction to R).

–       Not required but advantageous:

  • At least limited experience (e.g., graduate-level course) with multivariate data analysis.
  • At least limited experience using R
  • No level of proficiency beyond basic awareness is assumed for skills related to:
    • Structural Equation Modeling.
    • Advanced mathematical or statistical topics such as matrix algebra or likelihood theory.

Software and Computer Support:

Participants need a laptop computer with Wi-Fi and webcam capabilities.

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.

Note, however, that R and RStudio are the software programs that will be demonstrated. Both programs are free and can be downloaded from https://cloud.r-project.org/ and https://www.rstudio.com/products/rstudio/download/, respectively. We will focus on using the lavaan package, https://lavaan.ugent.be/, for analyses. Additional directions will be shared with enrolled participants.

Day 1
9:00-9:30 Welcome and introductions
9:30-10:45 Introduction to SEM and Basics of R
10:45-11:00 Snack and refreshments break
11:00-12:30 Model identification and scale setting
12:30-1:30 Lunch break
1:30-3:00 Confirmatory Factor Analysis and model fit
3:00-3:15 Snack and refreshments break
3:15-5:00 Multiple group analysis
Day 2
9:00-10:45 Missing data and power
10:45-11:00 Snack and refreshments break
11:00-12:30 Structural Models, mediation, and moderation
12:30-1:30 Lunch break
1:30-3:00 Longitudinal models
3:00-3:15 Snack and refreshments break
3:15-5:00 Longitudinal Models (continued).
Day 3
9:00-10:45 Categorical indicators
10:45-11:00 Snack and refreshments break
11:00-12:30 Multilevel SEM
12:30-1:30 Lunch break
1:30-5:00 One-on-one Consultations with instructor

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