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Scientific Coordination

Sebastian E. Wenz
Tel: +49 221 47694-159

Administrative Coordination

Jacqueline Schüller
Tel: +49 0221 47694-160

Short Course B: Introduction to Stata for Data Management and Analysis

About
Location:
Hybrid (Online via Zoom / Unter Sachsenhausen 6-8)
 
General Topics:
Course Level:
Format:
Software used:
Duration:
Language:
Fees:
Students: 220 €
Academics: 330 €
Commercial: 660 €
 
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Lecturer(s): Lynn-Malou Lutz, Lisa Jäckel

About the lecturer - Lynn-Malou Lutz

About the lecturer - Lisa Jäckel

Course description

The course will give a thorough introduction to the software Stata. It is tailored to the needs of academics and other research practitioners who are new to Stata or wish to refresh their skills. The course will not cover basic statistical methods and their underlying mathematics but will focus on their practical application using data in Stata.
 
In the first part of the course, we will cover the program's interface and introduce its syntax structure and basic rules for writing clean and reproducible Stata code. Subsequently, we aim to enhance the participants' skills in hands-on data management, common data analyses, and the visualization of results. Depending on the participants' prior knowledge, we might provide further insight into automating data wrangling and analysis procedures and exporting publication-ready results. Additionally, we will review available help and support features (online and offline) to equip participants with the necessary knowledge to develop their skills further and solve occurring problems. This course will be interactive and case-based in nature.
 
For additional details on the course and a day-to-day schedule, please download the full-length syllabus.
 
Organizational structure of the course
This hybrid course is a short course with 12 hours of interactive group instruction spread over two days. The course will alternate between short lectures and hands-on exercises using Stata.  
 
Additional assignments to get a handle on Stata. The two lecturers will be available to you and support work on assignments.  All necessary materials will be provided.


Target group

You will find the course useful if:
  • you are new to statistical computing (with Stata),
  • you are familiar with other statistical software but want to get to know Stata,
  • you have already worked with Stata before but want to refresh basic knowledge


  • Learning objectives

    By the end of the course, you will:
  • be familiar with Stata's interface and facilities,
  • understand how to integrate Stata into your research process to create reproducible and publication-ready results,
  • know how to solve common data management problems in Stata and how to document all modifications of the data,
  • be able to perform typical descriptive and inferential statistical procedures and use graphs to communicate your results effectively,
  • know how to proceed from here and get additional support if needed


  • Prerequisites

  • Familiarity with quantitative (survey) data
  • Basic knowledge of uni- and bivariate statistics (i.e., descriptive statistics, basics of regression analysis)
  • This course is not equipped to explain statistical concepts in detail; every participant is assumed to be familiar with statistical models.
  • If you are not sure whether your knowledge about statistics is sufficient, you could do this little test: https://www.socscistatistics.com/quizzes/
  • In case you want to deepen or recap your knowledge, we would recommend reading the following book: https://datatab.net/assets/sample_reading.pdf 
  •  
    Software and hardware requirements
    You need a laptop/desktop computer to access the internet and smoothly work with Stata.
    You will be provided access to Stata licenses by GESIS but must install the software on your device before the course.


    Schedule

    Recommended readings