Master-class August 2020: SEM using Stata Online

A 2-day course designed as an applied introduction to Structural Equation Modelling using Stata, including when to use SEM, and how to assess and report your models.

 

This course is being held online via Zoom

Dates: 
Friday, August 21, 2020 - Saturday, August 22, 2020
Early bird cutoff date: 
Wednesday, July 15, 2020
Course details:

This master-class provides a foundation for those wishing to utilise structural equation modelling (SEM) to explore and test complex relationships.

 

The course is designed as an applied introduction to SEM using Stata, aimed at providing participants with a sound understanding of when to use SEM and how to assess and report their models.

 

 

This course will be offered online via Zoom And will run to the following timetable:

 

Day 1:

9.00am -10.30am: Instructional Zoom session
10.30am-11.00am: Break
11.00am-12.30pm: Instructional Zoom session
12.30pm-1.30pm: Lunch
1.30pm-3.00pm: Instructional Zoom session
3.00pm-3.30pm: Break
3.30pm-5.00pm:  Exercises

 

Day 2:

9.00am -10.30am: Instructional Zoom session
10.30am-11.00am: Break
11.00am-12.30pm: Exercises
12.30pm-1.30pm: Lunch
1.30pm-3.00pm: Instructional Zoom session
3.00pm-3.30pm: Break
3.30pm-5.00pm:  Exercises

 
Master Class - runs over 2 days
Course dates: Friday 21 August 2020 - Saturday 22 August 2020
Instructor: 

Dr Joanna Dipnall is a biostatistician with the School of Public Health and Preventative Medicine (SPHPM) at Monash University and Honorary Research Fellow with School of Medicine at Deakin University. She holds a B.Ec(Honours) from Monash University, and a PhD from the School of Medicine at Deakin University. She also lectures and tutors with the Department of Statistics, Data Science and Epidemiology at Swinburne University. Joanna has developed a novel Risk Index for Depression (RID) utilising SEM and machine learning techniques that brought together five key determinants of depression. She has been a teacher of Stata software for over 15 years, training across Australia and overseas and was a member of the Scientific Committee for the Oceania Stata Users Group Meeting in 2017.

Venue: 
Online
Week: 
Week 1
About this course: 

This Master-class is designed for participants with an introductory-level understanding of the statistical methods of regression analysis and exploratory factor analysis. Participants will experience hands-on SEM examples and have the ability to build their own Stata SEM models.

 

This workshop is targeted at those researchers who wish to expand their understanding of this highly powerful technique. SEM has been utilised in many areas of research from psychology to medicine.

Course syllabus: 

Day 1: Fundamentals of SEM

  • Background to SEM
  • Discussion of the advantages of SEM over conventional analytical techniques
  • Understanding of the fundamentals underlying SEM; model conceptualisation, path diagrams, model specification and when should they be used
  • Introduction to Stata SEM notation and diagrams
  • Introduction to confirmatory factor analysis using Stata

 

Day 2: Working with SEM Models

  • Introduction to path analysis using Stata
  • SEM models using Stata
  • Multigroup SEM and invariance testing
  • Brief introduction to more complex SEM models
  • Stata postestimation tests, predictions and goodness of fit statistics
Course format: 

This workshop will take place online. Participants will need to have Stata preloaded.

If you don't have a copy of Stata, we will be able to organise a trial copy for the course, please let us know in advance.

Recommended Background: 

Participants need to have completed the ACSPRI Course Data Analysis using Stata, or have the equivalent experience with Stata.

 

This course assumes that participants have familiarity with the Stata command language and a sufficient understanding of statistics to be able to comprehend the material covered in the course outline, such as a basic grounding in regression and exploratory factor analysis.

Recommended Texts: 

Course notes will be supplied.

 

No specific references are suggested but participants might find the following text useful:

  • Bollen KA. 1989. Structural equations with latent variables. New York: John Wiley.
  • Schumacker RE & Lomax RG. 2010. A Beginner’s Guide to Structural Equation Modeling. Mahwah, New Jersey: Lawrence Erlbaum.
  • A Acock, 2013,Discovering Structural Equation Modeling Using Stata, Revised Edition, A Stata Press Publication.
Course fees
Early bird Member: 
$1,160
Early bird Non Member: 
$1,980
Early bird full time student Member: 
$720
Member: 
$1,480
Non Member: 
$2,280
Full time student Member: 
$1,280
Supported by: 

Stata is distributed in Australia and New Zealand by Survey Design and Analysis Services.

Venues: 

Delivery of this course is online - via Zoom.

 

Please ensure you have the following:

  • Reliable Internet connection with at least 5Gb per day of data available (i.e. a 5 day course will use about 25Gb of data just on the Zoom application)
  • A computer/laptop with the Zoom application installed (free)
  • A webcam (built in to most laptops)
  • A headset with a microphone (not required but ideal)
  • A second monitor/screen if possible

 

Please also check the course page for specific software requirements (if any).

 

Venue and Timetable: 

You will be attending from home, and each course may specify a slightly different timing schedule. Please expect around 4 "contact" hours per day, with the remainder of the usual working day for exercises, group work and self-directed activities.

All times specified are in Australian Eastern Time (Melbourne/Sydney/Canberra time)