Multivariate Statistical Modeling Using R Seminar

Session 1: June 1 – 5, 2020
Albuquerque, NM – Embassy Suites


FAQVenue Info – Hotel Booking
$1,895 Faculty/Professional or $1,145 Student/Post-Doc

Payment Options

This Course Has Been Canceled

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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.

Statistics Seminar Objectives

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 modeling techniques using R as applied in the educational, social, health, and behavioral sciences
  • Specify, estimate, evaluate, and compare regression models using R software
  • Specify, estimate, evaluate, and compare mediation and moderation models using R software
  • Specify, estimate, evaluate, and compare multilevel models using R software
  • Specify, estimate, evaluate, and compare factor analysis and SEM models using R software

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

Seminar Syllabus

MondayJune 1, 2020
9:00-9:30Welcome and introductions
9:30-10:45Introduction to R
10:45-11:00Snack and refreshment break
11:00-12:30Basics of R and reading data into R
12:30-1:30Lunch break
1:30-3:00Regression with R
3:00-3:15Snack and refreshment break
3:15-5:00Regression with R (continued)
5:30-7:30Social “hour” for all Stats Campers
TuesdayJune 2, 2020
9:00-10:45Mediation with R
10:45-11:00Snack and refreshment break
11:00-12:30Moderation with R
12:30-1:30Lunch break
1:30-3:00Combining Mediation and Moderation with R
3:00-3:15Snack and refreshment break
3:15-5:00Missing Data Handling with R
WednesdayJune 3, 2020
9:00-10:45MLM with R
10:45-11:00Snack and refreshment break
11:00-12:30MLM with R (continued)
12:30-1:30Lunch break
1:30-3:00Longitudinal MLM with R
3:00-3:15Snack and refreshment break
3:15-5:00Longitudinal MLM with R (continued)
ThursdayJune 4, 2020
9:00-10:45Exploratory Factor Analysis (EFA) with R
10:45-11:00Snack and refreshment break
11:00-12:30Confirmatory Factor Analysis (CFA) with R
12:30-1:30Lunch break
1:30-3:00Multiple group CFA with R
3:00-3:15Snack and refreshment break
3:15-5:00Multiple group CFA with R (continued)
FridayJune 5, 2020
9:00-10:45SEM with R
10:45-11:00Snack and refreshment break
11:00-12:30SEM with R
12:30-1:30Lunch break
1:30-3:00One-on-one consultations with instructor
3:00-3:15Snack and refreshment break
3:15-5:00One-on-one consultations with instructor

Statistical Methods Seminar Description

Have you always wanted to learn R for a project and haven’t had the time? Do you keep hearing that R is the future and want to find out what all the fuss is about? Tired of paying expensive license fees for statistical software? If this sounds like you, multivariate statistical modeling in R is for you! We will cover all your favorite methods (and maybe a few new ones too!) like regression, mediation, moderation, multilevel models and SEM. All using (free, open-source) R!

Overview: An introductory 5-day course on using R software for common analytic methods in behavioral and social sciences. Topics covered include, regression, mediation and moderation, multilevel modeling (MLM), factor analysis and structural equation modeling (SEM).

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 and R packages for advanced methods including applications for power analysis for mediation models (http://marlab.org/power_mediation/).

Seminar Audience

Coming soon…

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:

  • Factor Analysis, SEM, or MLM.
  • Advanced mathematical or statistical topics such as matrix algebra or likelihood theory.

Seminar Topics

  • Introduction to R software and importing data into R
  • Fitting regression models in R
  • Testing mediation and moderation models in R
  • MLM in R
  • Factor analysis and SEM in R

Note: This course will focus primarily on statistical modeling in R.  As such, this course will not provide an in-depth coverage R programming or the TidyVerse.  See the Summer Stats Camp course, R Programming for Data Science, for training in this topic area.

Course Software and Computer Support

Participants need to bring a laptop computer with Wi-Fi 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. Additional directions will be shared with enrolled participants.

Seminar Files

Downloadable files used for this course will be provided on the first day of class.

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.

Multivariate Modeling with R Statistics Training Course Shoemann

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