CARMA Live Online Short Courses 

November 2022

November 7-18, 2022 – Two Sessions, Two Courses

Sponsored by University of South Australia

Session 1: November 7-10, 2022 | Session 2: November 14-18, 2022

We offer two sessions which allows course participants the opportunity to take two back-to-back courses.

Session 1

  • Monday November 7
  • Tuesday November 8
  • Wednesday November 9
  • Thursday November 10
 Session 2

  • Monday November 14
  • Tuesday November 15
  • Thursday November 17
  • Friday November 18

CARMA Workshop: Basics of R (included free with the short course registration)

This four-hour Workshop provides information on the package R to prepare attendees for follow-up training in CARMA Short Courses that use R. By attending this online workshop, participants will learn basic skills for using the R Studio interface to: load and activate R packages, import and manage data, and create and execute syntax. Having these basic skills will allow Short Course participants to more easily learn about use of R for data analysis and will enable Short Course instructors to better plan and deliver their content. This Workshop is free of charge and only available to those who will be attending one of the CARMA Short Courses. It will be available on-line.

During this Basics of R Workshop, attendees will learn:
1. Using R through the R Studio interface
2. Importing data into R
3. R data sets (a.k.a data frames and tibbles)
4. Data types
5. Subsetting columns of data and selecting cases
6. Recoding data and dealing with missing data
7. Merging data (columns and rows)
8. Output objects
9. User defined functions
10. Getting help

Session 1: November 7-10, 2022

“Within Person Research” – Dr. Nikos Dimotakis, Oklahoma State University

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The CARMA Within Person Research short course provides an overview of the conceptual and operational knowledge and skills needed to conduct research that aims to understand individuals’ attitudes, thoughts, emotions, and behaviors over time. We will focus on techniques aimed at examining dynamic and fluctuating states that individuals are experiencing and analyzing data with a temporally nested structure (observations within individuals, observations within days within individuals, and so forth). We will begin by an overview of what within-person conceptualizations look like in terms of their underlying theory and their statistical modeling.  We will then introduce concepts and principles that are important in designing and conducting within-person research. The third module introduces the specification of basic within-person models analyzed via multilevel approaches (i.e., random coefficient regression or hierarchical linear models). We will then discuss some more advanced models and revisit some of the assumptions of multilevel work with a critical eye, and finish with a synthesis module with time set aside for a final Q&A. Participants are encouraged to bring their own data to the course, to facilitate their progress with existing research. This course is aimed at faculty and graduate students who have some familiarity with regular regression but have little experience or knowledge about multilevel analyses.

Session 2: November 14-18, 2022

“Advanced SEM” – Dr. Larry Williams, Texas Tech University (Monday/Tuesday) & Dr. Robert Vandenberg, University of Georgia (Thursday/Friday)

This course assumes prior knowledge and experience with SEM at the introductory level. Participants are expected to know the basics of CFA (Confirmatory Factor Analysis) and Latent Variable Path Models. Participants are expected to know how to run SEM models in relevant software such as LAVAAN. On days 3 and 4, the instruction will be carried out using the R-package LAVAAN. Participants should have basic R knowledge. If you do not have the basic R knowledge, you can review “Basics of R Workshop” before the class starts. It is free for short course participants. Topics to be covered include:

  • Day 1 – Building Measurement Models
  • Day 2 – Testing Path Models
  • Day 3 – Multilevel Analysis
  • Day 4 – Longitudinal Growth Models

For these topics, issues related to applying SEM will be emphasized. Participants are encouraged to bring their own data to use but it is not required. For any questions, please contact Dr. Larry Williams at larry.williams@ttu.edu.

Required Software: R installed with LAVAAN package (R download here, RStudio download here)

Time Schedule

Session I (November 7-10)
Monday November 7 Tuesday November 8 Wednesday November 9 Thursday November 10
Time (Adelaide Time): 8:30 AM – 1:30 PM 8:30 AM – 1:30 PM 8:30 AM – 1:30 PM 8:30 AM – 1:30 PM

Session II (November 14-18)
Monday November 14 Tuesday November 15 Thursday November 17 Friday November 18
Time (Adelaide Time): 8:30 AM – 1:30 PM 8:30 AM – 1:30 PM 8:30 AM – 1:30 PM 8:30 AM – 1:30 PM

For the time zone converter click here.

Registration

To register for 2022 CARMA Live Online Short Courses;

Pricing and Deadlines

Pricing Dates CARMA Member Non-CARMA Member Prof. Association Members (*)
1 Course 2 Courses 1 Course 2 Courses 1 Course 2 Courses
Advanced Registration Faculty $425 $750 $850 $1,600 $640 $1,180
09/09/2022 – 10/20/2022
Advanced Registration Student $325 $550 $650 $1,200 $490 $880
09/09/2022 – 10/20/2022
Normal Registration Faculty $475 $850 $950 $1,800 $715 $1,330
10/21/2022 – 11/03/2022
Normal Registration Student $375 $650 $750 $1,400 $565 $1,030
10/21/2022 – 11/03/2022

–*– Please click here to see list of eligible Professional Associations.

Refund Policy: Full refund will be provided up to 2 weeks before the first day of the session. After that date, partial refund (50%) will be provided.

Find out if your organization is a CARMA Member.

If your organization is not yet a member but would like to become one, you can find purchasing and renewal information here.