GESIS Training Courses
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Scientific Coordination

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

Administrative Coordination

Angelika Ruf
Tel: +49 221 47694-162

Short Course A: Introduction to Stata for Data Analysis

Lecturer(s):
Anne-Kathrin Stroppe, Nils Jungmann

Date: 29.07 - 31.07.2020 ics-file

Location: Online via Zoom

About the lecturer - Anne-Kathrin Stroppe

About the lecturer - Nils Jungmann

Course description

[This is a 12 hour class.]
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. The course will not cover basic statistical methods but how to apply these methods using Stata.
In the first part of the course, we will cover the program's interface and give an introduction to its syntax structure and basic rules to write clean and reproducible Stata code. Subsequently, we will provide you with skills in hands-on data management, common data analyses, and the visualizing of results. Depending on the participants' prior knowledge, we will be able to give further insight into the automatization of data wrangling and analyses procedures and the export of publication-ready results. Also, 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.
A detailed syllabus for this course is available for download here.


Keywords



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 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.
  •  
    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 at all time.


    Prerequisites

    Basic knowledge of uni- and bivariate statistics.
    Software and Hardware Requirements:
    Participants who do not own a copy of Stata will be provided with access to a full Stata licence by GESIS for the duration of the course. Stata will be installed and activated prior to the course by GESIS staff through remote access on the participants' machines.


    Recommended readings