GESIS Training Courses
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Scientific Coordination

Dr.
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:
Online via Zoom
Course duration
10:00-12:00 CEST
13:00-15:00 CEST
 
General Topics:
Course Level:
Format:
Software used:
Duration:
3 days
Language:
Fees:
Students: 200 €
Academics: 300 €
Commercial: 600 €
Keywords:
Additional links
Lecturer(s): Katharina Blinzler, Klara Dentler

About the lecturer - Katharina Blinzler

About the lecturer - Klara Dentler

Course description

Please note: This Online-class is taught online only-live and in real time. Recordings will not be available.
 
This online short 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 who 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 electoral research 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 will provide you with 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 the automatization of data wrangling and analysis procedures and the export of publication-ready results. Additionally, we will review available help and support features (online and offline) to equip participants with the necessary knowledge to further develop their skills and solve occurring problems.
 
For additional details on the course and a day-to-day schedule, please download the full-length syllabus.


Target group

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


  • Learning objectives

    By the end of the course, participants will:
  • be familiar with Stata's interface and facilities;
  • understand how to integrate Stata into their 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 their results effectively;
  • know how to proceed from here and get additional support if needed.
  •  
    Organizational Structure of the Course
    The course is offered as an expanded short course consisting of 12 hours of interactive group instruction, spread over three days. The course will alternate between short lectures and hands-on exercises. The two lecturers will be available to the students and support work on assignments.


    Prerequisites

  • Familiarity with quantitative (survey) data
  • Basic knowledge of uni- and bivariate statistics (i.e., descriptive statistics, basics of regression analysis)
  • Knowledge of other syntax-based software is helpful but not required
  •  
    Software and Hardware Requirements
    Participants need a laptop/desktop computer that enables them to access the internet and smoothly work with Stata. Participants will be provided with access to Stata licenses by GESIS but must install the software prior to the course on their own devices.