Master-class April 2018: Introduction to SEM using Stata

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

 

 

Dates: 
Thursday, April 19, 2018 - Friday, April 20, 2018
Early bird cutoff date: 
Friday, April 13, 2018
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

 
Master Class - runs over 2 days
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: 
ACSPRI Office
Course dates: Thursday 19 April 2018 - Friday 20 April 2018
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

  • Brief overview of multiple regression and exploratory factor analysis using Stata
  • 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 path analysis using Stata

 

Day 2: Working with SEM Models

  • Introduction to confirmatory factor analysis using Stata
  • Extending path analysis to use with binary outcomes
  • Brief introduction to more complex SEM models
  • Stata postestimation tests, predictions and goodness of fit statistics
  • Guidelines for writing up SEM models
Course format: 

This workshop will take place in a classroom. You will need to bring your own laptop with Stata. If you don't have a copy of Stata, please let us know in advance and we will organise a trial version for the course.

Recommended Background: 

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:
All courses at a given program have the same fee structure, but fees vary depending on whether your organisation is an ACSPRI Member and whether there are Early Bird Discounts available at the time. The prices for this program are available on the program page.
Supported by: 

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

Prices

(per course)

Member: 
$1,250
Non Member: 
$2,300
Full time student Member: 
$1,250
Early bird Member: 
$1,050
Early bird Non Member: 
$2,100
Early bird full time student Member: 
$1,050
Venues: 

The ACSPRI Head Office is located at 763 Heidelberg Road, Alphington, just before the corner of Yarralea St.

 

Accommodation: 

The ACSPRI Office is only 20 minutes from the Melbourne's CBD via train. Accommodation located close to any of the City Loop train stations (Parliament, Melbourne Central, Spencer St, Flinders St and {on weekdays} Flagstaff) or other stations along the Hurstbridge Line will enable a very easy commute (see Transport below). We expect most visitors would appreciate staying quite centrally and there are numerous accommodation options. It is worth checking a travel website (expedia, tripadvisor, etc) to fine the best option for your budget and requirements, but we recommend staying close to a train station as per above.

 

Ivanhoe Quest Apartments are located 20 minutes walk east of the ACSPRI Office, along Upper Heidelberg Road.  You can also catch the train to Alphington Station from either Ivanhoe Station (2 stops - city direction) or Darebin Station (1 stop - city direction). You can also walk to Heidelberg Road (4 mins) take the 546 Bus to Yarralea Street, which is opposite our office.

 

 

Car Parking / Transport: 

Alphington Station is roughly 20 minutes from Melbourne Central (and other City loop stations) on the Hurstbridge Line and only a few minutes' walk from the ACSPRI office. There are also a number of bus lines that service the area. Bus services are very limited on weekends and the train is recommended. Click here for the journey planner.

 

By car, the quickest route for many local Melbournians will be via the Eastern Freeway and/or Chandler Hwy. From the CBD the Eastern Freeway from the Inner North will also probably be the quickest route. At that time on a weekend 20 minutes would allow plenty of time. Parking is usually available in Yarralea St or nearby but not on Heidelberg Road. 

 

Secure space is available to store bicycles at the office. The office is very close to Alphington Park, which backs onto the Yarra River and subsequently a vast network of Melbourne's bike paths.

 

 

Venue and Timetable: 

The course will run from 9am until 5pm both days.

Breaks are held at 10.30 - 11.00, 12.30 - 1.30 and 3.00 - 3.30. Lunch and a small morning and afternoon tea are provided both days. Depending on class consensus, breaks may be shortened to result in an early finish.