Portal for

    You are here

    Introduction to Stata

    Monday, 25 June, 2018 - 09:00 to Wednesday, 27 June, 2018 - 17:00
    Campus: Brussels Humanities, Sciences & Engineering Campus

    Target audience

    This 3-days course is targeted to researchers in social and behavioral sciences (e.g., psychology, education, economics, business, and sociology), life sciences and medicine (e.g., health sciences) and natural sciences, who are interested in getting hands-on practice to analyze their data in Stata.

    There are no prerequisites for attending this course, as it will introduce participants to the very basics of using Stata. The course is intended for anyone who hopes to use Stata as a regular tool in their work. This can be to help manage data and as a statistical analysis tool, from basic analysis to complex modelling. Especially students who are not satisfied with SPSS or/and face troubles in learning /R/ will find in Stata an attractive alternative software.

    Stata is especially useful for the analysis of complex surveys and longitudinal data analysis. Therefore, individuals interested in analyzing complex surveys or applying longitudinal data analysis in Stata would find this course particularly useful if they have no prior experience of Stata. Please note: students will be given a brief introduction to some simple statistical commands; the focus of this course is not on the use of Stata for analytical purposes.

    Students need to bring their own PC to the course. If no Stata license is yet installed, students will work on temporary versions that are valid for 45 days (in collaboration with ritme-be.com). Within this period of 45 days, they can revise the course material and evaluate the pros and cons of purchasing this software with their supervisor/research group. After the license expires, students have the possibility to buy the software for discounted student pricing.

    Short description of content

    The course provides an introductory training in Stata. Stata is a powerful statistical package with smart data-management facilities, a wide array of up-to-date statistical techniques, and an excellent system for producing publication-quality graphs. Stata is easy to use and thus an attractive alternative to /R/ and SPSS. Stata is increasingly used for social research data analysis and has powerful data manipulation procedures and extensive and powerful statistical capabilities.

    The aim of the course is to familiarize participants with the basic features of Stata. Introduction to Stata provides participants with the necessary introductory toolset to enable them to carry out efficient data analysis and data management in Stata in a reproducible manner. The course covers everything from the very basics, in order to get one up and running in Stata, to an overview of the available Stata commands for preliminary data analysis, data management, importing and exporting data formats, merging of databases and the creation of graphs in Stata. On completion of the course, participants will have the necessary familiarity with Stata to move on to further Stata courses and/or continue learning themselves.

    Each session is composed of both a theoretical component (in which the techniques and underlying principles behind them are explained), and an applied (hands-on) segment, during which participants have the opportunity to implement the techniques using real data.

    On completing the course, participants will have covered the following through a combination of presentation and practical sessions:

    Day 1: Introduction to Stata

    • Load and save data
    • Import/export data from different formats
    • Open and explore files
    • Explore data
    • Add labels to a dataset to make it self-documenting
    • Edit and enter data
    • Use Stata’s intuitive syntax
    • Use supporting resources

    Day 2: Data management

    • Recode variables and derive new variables from existing ones
    • Keep and drop variables or cases
    • Deal with missing values
    • Saving commands in a syntax file
    • Combine two or more datasets

    Day 3: Exploratory analysis

    • Produce summary statistics and tables
    • Visualize data
    • Keep a record of work and ensure it is reproducible
    • Document work for publication and review

    Recommended Reading

    Rodriguez, G. (2017) Stata Tutorial, updated for Version 15, http://data.princeton.edu/stata

    Diamond, I. and Jefferies, J. (2004) Beginning Statistics: An Introduction for Social Scientists. London, Sage Publications.

    Blaikie, N. (2003) Analyzing Quantitative Data: from description to explanation London, SAGE Publications.

    Future prospects for this course at FLAMES

    This course offers PhD students a second door of entry for students to use popular and up-to-date techniques in the social and behavioral sciences, life sciences and medicine and natural sciences. It lays the basis for future university and inter-university courses that teach statistical methods in Stata, such as ‘Survival Analysis’ or ‘Tools of Multivariate Analysis’.

     

    Specific details planning for current academic year

    The first edition of this course is planned for Summer 2018. (3 days)

    When: 25-26-27 June from 9-17u

    Where: Campus Etterbeek (room to be confirmed)

    Registration (MAX. 25 participants)

    Register here

    We kindly ask you to register only once and only when you can actually participate. In case you have already registered but are not able to participate, please be so kind as to notify us by sending an e-mail to doctoral.schools@vub.be so we can offer your place to one of your PhD colleagues on the waiting list.

    Please be aware of the fact that the cancellation and no-show policy of VUB applies. Cancellation of your participation is only allowed up to 48 hours before the start of the course. Otherwise, the policy as described on the doctoral school website will be followed.

    Registration Rules: https://student.vub.be/en/phd/doctoral-training#registration
    No Show Policyhttps://student.vub.be/en/regulations-and-forms#phd