CARMA Short Courses

UniSA Business is pleased to host short courses offered by the Consortium for the Advancement of Research Methods and Analysis (CARMA).  Two courses are offered in April 2021 and the instructors are international experts in research methodology.

This is a great opportunity to practice and develop your skills in research methods and meet some of the greatest names in the field. Don’t miss the chance to learn best practice from our international experts!

Week Dates 
(9.00 am - 2.00pm)
Course Instructor
12 - 16 April  Monday -  Friday Introduction to SEM with LAVAAN Prof Bob Vandenberg
18 - 23 April Monday - Friday Intermediate SEM and Model Evaluation with R Prof Larry Williams

 

  1. Introduction to SEM with LAVAAN

Delivered by: Prof. Robert Vandenberg, University of Georgia

Course info: This introductory course requires no previous knowledge of structural equation modeling (SEM), but participants should possess a strong understanding of regression AND have understanding about the basic data handling functions using R. All illustrations and in-class exercises will make use of the R LAVAAN package, and participants will be expected to have LAVAAN installed on their laptop computers prior to beginning of the course. No course time will be spent going over basic R data handling and installing the LAVAAN package. The course will start with an overview of the principals underlying SEM. Subsequently, we move into measurement model evaluation including confirmatory factor analysis (CFA). Time will be spent on interpreting the parameter estimates and comparing competing measurement models for correlated constructs. We will then move onto path model evaluation where paths representing “causal” relations are placed between the latent variables. Again, time will be spent on interpreting the various parameter estimates and determining whether the path models add anything above their underlying measurement models. If time permits, longitudinal models will be introduced.

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

       2. Intermediate SEM, Model Evaluation

Delivered by: Prof. Larry Williams, Texas Tech University

Course info: This course is aimed at faculty and students with an introductory understanding of structural equation methods who seek a better understanding of the challenging process of making judgments about the adequacy of their models. Those who attend should have experience in fitting structural equation models with software such as LISREL, MPlus, EQS, AMOS, or LAVAAN. This experience requirement can be met by completion of graduate coursework or Introduction to SEM Short Course. Attendees will be expected to use their own laptop computers installed with their SEM software, and they should also know how to import data from an SPSS/Excel/CSV save file into their SEM software program. Attendees will learn out to interpret and report results from SEM analyses, and how to conduct model comparisons to obtain information relevant to inferences about their models, as well as advantages and disadvantages of different approaches to model evaluation. Attendees are encouraged to bring their own data for use during parts of the short course.

          The course will consist of five sections, with each section having a lecture and lab component using exercises and data provided            by the instructor:
                    • Review of model specification and parameter estimation
                    • Overview of model evaluation
                    • Logic and computations for goodness-of-fit measures
                    • Analysis of residuals and latent variables
                    • Model comparison strategies

            Required Software: Your preferred SEM software package

Registrations are now open on the CARMA website.

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Insights Lectures

The Insights Lecture is an annual public lecture series sponsored by UniSA’s Centre for Workplace Excellence. A world-renowned international researcher delivers a lecture on a contemporary issue of interest to employers, employees, organisations and the general public.