Methods Workshop: All Hands on Stata
Join us to enhance your data analysis skills and gain practical experience with Stata.
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Practical information
The number of statistical methods is rapidly increasing across all scientific disciplines, paralleling the advancements in computer speed. As a result, statistical software has become an essential tool for their application. This workshop will cover various data analysis techniques and demonstrate how to analyze quantitative data using Stata. While we can’t delve into the specifics of each method, the workshop aims to provide a comprehensive overview of data analysis with Stata. The workshop is ogranised in cooperation with DPC Software GmbH. The programme can be found below!
LEVEL: basic/medium
METHOD: Quantitative
ABOUT THE LECTURER: Dr. Christian Brzinsky-Fay is DPC’s Stata consultant, social scientist and teaches methods and statistics at the University of Hamburg. His research interests include labour markets, education, school-to-work transitions, social inequality and life-course research. He is a Stata user for two decades and has given many Stata and method courses in academic and non-academic contexts.
PREREQUISITES: No prior training in Stata required.
Programme
10:00 — Introduction: All Hands on Stata
- I will start with a general introduction into Stata’s basic functions by covering the following topics:
- How do I get data into Stata?
- What tools are available for manipulating and cleaning data?
- How can I create and customize scatterplots, histograms, and other graphs?
- How do I fit a model and graph the results?
- How do I find resources for learning Stata?
11.00 — Break
11:15 — Regression Modelling from the Scratch to the Publication
- This section illustrates the process of fitting various regression models in Stata. It encompasses the stepwise construction of a model, interpretation of different outputs such as regression tables, verification of assumptions, and techniques for presenting results including coefficient plots. Additionally, it delves into the calculation and presentation of marginal effects using Stata’s “margin” and “marginsplot” commands.
12:30 — Lunch break
13:30 — Multilevel/Longitudinal Models and Survival Analysis
- In this talk I introduce the concepts and jargon of multilevel modelling for nested data. I also demonstrate how to fit multilevel/longitudinal models using Stata’s -mixed- command, and how to visualize the results. In addition, I will present an introduction to survival analysis (aka event history analysis), which also shows Stata’s potential to work with long format data.
14:30 — Break
14:45 — Visualization using Stata
- In our fast moving world dominated by visual media, it becomes increasingly important for researchers to communicate their results graphically. In this talk, I would like to show Stata’s potential to create ready-to-publish graphs and diagrams that transport research findings. This will also cover visualization of descriptive and multivariate statistics and includes the usage of macros.
15:45 — Questions
16:00 — End
ELS Academy’s No-Show Policy:
Please note that the workshops are given by experts in the field who do this on a voluntary basis. Places are often limited and we have people on the waiting list. For this reason, the ELS Academy has a strict no-show policy. In case you are prevented from attending the workshop, kindly send an email to contact@elsacademy.nl at least 48 hours before the workshop to make space for people on the waiting list.
If you do not attend the workshop without prior cancellation, your supervisor will be informed about your no-show and you will not be able to register for another ELS Academy event for the next two months. This is also very unfortunate for us, however, it can be prevented if we receive a simple cancellation via e-mail.
Thank you for understanding and see you there!