GESIS Training Courses
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Scientific Coordination

Dr.
Sabina Haveric
Tel: +49 (0221) 47694 - 166

Administrative Coordination

Angelika Ruf
Tel: +49 221 47694-162

Short Course C: Introduction to Data Analysis Using Stata

Lecturer(s):
Dr. Kathrin Busch, Julia Klinger

Date: 01.08 - 02.08.2019 ics-file

About the lecturer - Dr. Kathrin Busch

About the lecturer - Julia Klinger

Course description

This course will give a thorough introduction to the Statistics 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.
In the first part of the course, we will cover the program's interface and give an introductory to its basic syntax structure. Also, we will review available help and support features (online and offline). Subsequently, we will provide you with skills in hands-on data management, common data analyses, and the visualizing of results. Special attention will be devoted on how to use Stata within an integrated workflow and how to obtain publication-ready results (tables and graphs) from Stata. If time permits and if participants are familiar with basic procedures, we will advance to special topics, such as understanding and interpreting interactions in linear and non-linear models (e.g., logit models), or managing of longitudinal or hierarchical data. These topics will be selected according to the participants' main interests and needs.
The course will be interactive and case-based and use survey data from the field of Social Sciences. All necessary materials will be provided. By the end of this course, participants will be able to effectively use Stata for common statistical procedures and know how to go about more advanced applications.
For a full length syllabus of this course, please click here.


Keywords



Target group

Participants will find the course useful if they are:
  • users who are new to statistical computing with Stata
  • advanced academics and research professionals who are familiar with other software
  • former Stata users who want to refresh their 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 efficiently create reproducible and publication-ready results;
  • know how to solve common data management problems 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;
  • have transferred the covered topics to their research problems;
  • know how to proceed from here and how to get additional support if needed.


Prerequisites

A basic understanding of statistics.
 
Participants will be provided with access to Stata via laptops/desktop PCs by GESIS.


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