Short Course D: Introduction to Data Analysis Using Stata

Lecturer: Dr. Reinhard Schunck

Date: 2-3 August 2018
Time: 09:00-13:00, 14:00-16:00

Short Course Description:

This course is tailored to academics and research professionals that are new to Stata or users that are familiar with earlier versions of Stata and wish to update their skills.

In the first part of the course we will cover the facilities and basic mechanics of Stata including its syntax. In addition, we will review available help and support features (online and offline). Subsequently, we will immerge into hands-on data management, data analysis, and 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. Topics will be selected taking into account participants’ main interests.

This course will be interactive and case-based in nature. 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.

Course Prerequisites:

A basic understanding of statistics

Target Group:

Participants will find the course useful if:

  • Users new to statistical computing
  • Advanced academics and research professionals familiar with other software
  • Former Stata users who want to refresh their knowledge

Course and 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 while seamlessly documenting all modifications of the data;
  • be able to perform typical descriptive and inferential statistical procedures and use graphs to effectively communicate their results;
  • have transferred the covered topics to their own research problems;
  • know how to proceed from here and how to get additional support if needed.

Organizational Structure of the Course:

The course is a full-time course, consisting of 7 hours of interactive group instruction per day (including a one-hour lunch break). The course will alternate between short lectures and hands-on exercises on the PC. The two lectures will be available to the students at all time.

Software and Hardware Requirements:

None. Participants will be provided access to Stata via laptops/desktop PCs by GESIS.