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Cathie Marsh Institute for Social Research (CMI)

Introduction to STATA

Dates: 14 November 2019 & 26 May 2020
Time:
 10am - 4:30pm 
Instructor: Dr Tina Hannemann
Level: Introductory 
Fee: £195 (£140 for those from educational, government and charitable institutions). 

CMI offers up to five subsidised places at a reduced rate of £60 per course day to research staff and students within Humanities at The University of Manchester. These places are awarded in order of application. 

Humanities PGR students at The University of Manchester can apply for a methods@manchester bursary to help cover their costs. All applications will be considered on a case-by-case basis and applicants will be required to provide a supporting statement from their supervisor. Applications for bursaries must be submitted at least two weeks in advance of the course date; applications submitted after this time will not be accepted. Retrospective applications cannot be made if courses have already taken place or payment has already been made.

Please click here to make a booking. If you are applying for a subsidised place, select the £60 University of Manchester option on the booking form. For queries about methods@manchester bursaries, contact methods@manchester.ac.uk (please note, you must have a confirmed place on the course before requesting a bursary application form). For any other queries about short courses, please contact cmi-shortcourses@manchester.ac.uk.

Please note: this is not guaranteed and is considered on a case by case basis. Please contact us for more information.

Outline

The course provides introductory training in Stata, a statistical package increasingly used for social research data analysis which has powerful data manipulation procedures and extensive and powerful statistical capabilities.

Objectives

The aim of the course is to familiarise participants with the basic features of Stata 14. On completing the course, participants will have covered the following through a combination of presentation and practical sessions:

  • The STATA environment: Opening and exploring files, looking at labels, editing and entering data.
  • Exploratory analysis: logging outputs, producing tables, subsetting and descriptive statistics.
  • Data manipulation: computing new variables, recoding, keeping and dropping, saving commands in a .do file.
  • STATA graphics, help and support resources.

 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 

Prerequisites

No previous experience with Stata or statistical analyses is required for the course, as it will introduce participants to the very basics of using Stata. However, familiarity with, and some experience of, handling datasets (e.g. Excel spreadsheets) would be beneficial for understanding the basics of data management and analysis in Stata.

Suitable for

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, especially large data sets, and as a statistical analysis tool, from basic analysis to complex modelling.

This course is therefore suitable for anyone who hopes to use Stata as a day-to-day tool in their work.

The course is designed for new users of survey data and does not presume any previous knowledge or experience working with quantitative methods. However, Stata is especially useful for the analysis of complex surveys and longitudinal data analysis. Therefore, individuals interested in analysing complex surveys or applying longitudinal data analysis in Stata would find this particularly useful if they have no prior experience of Stata. 

Recommended reading

  • 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. 

About the instructors

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