Testing your theoretical model with Structural Equation Modeling (SEM) in Stata
- in Kooperation mit dem Kompetenzzentrum für empirische Forschungsmethoden -
In your work as a researcher, you may come across the following problems:
- How can I translate a set of hypotheses into a statistical model?
- How can I specify causal relationships between variables in my model?
- How can I specify that my variables may exhibit measurement errors?
- How can I assess “good” measurement of important variables?
- Finally, how can I combine all these questions?
This workshop aims at addressing these vital questions in quantitative empirical research and it shows how to answer these questions by applying Structural Equation Modeling (SEM). For this purpose, the workshop will cover basics of linear regression, path analysis, factor analysis and measurement theory, which are eventually combined in the SEM approach. Hands-on data analyses will use the software Stata.
Target Group
This workshop basically speaks to researchers at all levels of their career who want to test a coherent theoretical model with quantitative data, especially survey data. Ideally, participants have already considered SEM as a means to address their research question and they have a specific research project in mind. Participants should have prior experience with statistical software packages, such as Stata, SPSS or R.
Objectives
Participants will gain a deeper understanding of:
- Specifying a theoretical model before testing it statistically
- SEM as an overarching statistical framework
- The impact of measurement error on substantive results
- Analyzing quantitative data with SEM using the Stata software
Content
The following topics will be covered:
- Why use SEM?,
- basics in Stata,
- statistics refresher and SEM basics,
- the “structural” model,
- “measurement” models and factor analysis,
- the “full” SEM,
- basics of model estimation,
- model evaluation,
- presenting SEM results,
- and applications using Stata.
Methods
The workshop will consist of a mixture of lectures (1. day) and practical sessions (2. day). Theory and methodology presented in the lectures will be complemented by hands-on data analyses using the software Stata.
Location, Date and Time
Monday, 16 April 2018, 09.00 am - 05.00 pm
Tuesday, 17 April 2018, 09.00 am - 05.00 pm
All registered participants will be informed of the location by email one week before the event.
Fees and Registration
This workshop is open to a limited number of participants. The registration deadline is 3 April 2018.
Please note that you should notify us before the registration deadline if you are unable to attend the workshop. Otherwise the full fee will be charged.
Please let the Personnel Development and Planning Office know if you will not be attending. There are often waiting lists for the workshops, and this will give one of your colleagues the chance to attend. In addition, if we can fill the vacancy with someone from the waiting list, no cancellation charges will apply for you.
To sign up for this workshop, please click "Register" at the bottom of this page. For any further information please contact Elke Rittersbacher ( elke.rittersbacher@wu.ac.at, Ext. 4448).
The course fee is €40.
Trainer
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Dr. Julian Aichholzer
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