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 Management and Analysis

Lecturer(s):

Nils Jungmann, Anne-Kathrin Stroppe

Date: 28.07 - 30.07.2021 ics-file

Location: Online via Zoom / Time: 10:00-12:00 & 13:30-15:30 (CEST)

About the lecturer - Nils Jungmann

About the lecturer - Anne-Kathrin Stroppe

Course description

[This is a 12 hour class.]

This 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 how to apply these methods using Stata.

In the first part of the course, we will cover the program's interface and introduce 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 visualization of results. Depending on the participants' prior knowledge, we will be able to give further insight into the automatization of data wrangling and analysis procedures, as well as 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.

Keywords

Stata, data management, data analysis, visualization

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 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 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 and support work on assignments in breakout rooms.

Prerequisites

Familiarity with quantitative data

Basic knowledge of uni- and bivariate statistics (e.g. 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.