Introduction to Stata

REGISTRATION DEADLINE: 27 November 2016

To apply for a place, please email fssl-aqmcourses@bristol.ac.uk and give your name, position (e.g., PhD student or Research Assistant), department and institution. Please only apply for a place if you satisfy the course prerequisites and if you can attend both days.

COURSE LEADER: Dr George Leckie

DATES: 12-13 Decemeber 2016

TIME: 10:00 - 17:00

LOCATION: Small Computer Room 1.4n, Geographical Sciences, University Road, Clifton, Bristol BS8 1SS.

DESCRIPTION: This course provides an introduction to the Stata statistical software package.

OUTLINE:

DAY 1

10:00 - 12:00 Session 1 - Stata basics and data exploration: interface, menus, dialog boxes, commands, do-files, help, opening, saving, browsing, describing, summarizing, tabulating, listing data,...

12:00 - 12:45 Lunch

12:45 - 14:45 Session 2 - Basic data management: importing, editing, labelling, creating, deleting data,...

14:45 - 15:00 Break

15:00 - 17:00 Session 3 - Graphics: scatterplots, bar charts, publication quality graphics, graphics for PowerPoint,...

 

DAY 2

10:00 - 12:00 Session 4 - Intermediate data management: collapsing, appending, merging, joining, reshaping data,...

12:00 - 12:45 Lunch

12:45 - 14:45 Session 5 - Programming: scalars, matrices, saved results, macros, loops, programs,...

14:45 - 15:00 Break

15:00 - 17:00 Session 6 - Stata resources and analysing your own data: manuals, books, courses, statalist,...

The course consists of a 2:1 mix of lectures and Stata practicals. Zero prior knowledge of Stata will be assumed. Stata will be taught solely through the command syntax and syntax files. On completion of this course, participants should be able to use Stata to prepare their own data sets for the purpose of carrying out statistical analyses of their data.

PREREQUISITES: None

OTHER DETAILS: Participants are expected to attend both days of the course. Please bring a memory stick so that you can take the course electronic materials away with you. While there is no dedicated time to analysing your own data, you are encouraged to apply what you learn on the course to your own data during the breaks should you wish to do so. I will be around for some of this time and am happy to discuss your research with you and in particular to answer questions relating to carrying your own research in Stata.

REFRESHMENTS: As this is a free course, lunch and coffee are not provided. However, there are various cafes close to the computer lab where you can purchase refreshments.

CONTACT: Please email George Leckie (g.leckie@bristol.ac.uk) if you have any queries about the course.