Introduction to Stata
This course gives you the understanding and experience to do a basic research project in the social or health sciences using Stata as the statistical tool.
Monday 17 – Friday 21 February 2020
This course assumes that participants have:
- Reasonable understanding of statistics to be able to comprehend the material covered, e.g. regression analysis
- Some familiarity with a PC environment, including keyboard skills and understanding of file structures
- Some experience using Microsoft Word and Excel or their equivalents
- Some experience using a text editor such as Notepad or UltraEdit
The course does not assume prior experience with Stata.
The aim of the course is to provide participants with understanding and experience to undertake a basic research project in the social, financial or health sciences using Stata as the statistical tool. Stata is a comprehensive integrated package for data management, analysis and graphics. Stata v14 has a comprehensive GUI but this course focuses on the syntax as this will allow researchers to get the most out of Stata.
The course will be presented in a way that introduces beginners to survey research and at the same time extends the capabilities of more experienced researchers. Sample data sets will be provided, but participants are encouraged to bring some of their own data for analysis in Excel or ASCII format. Teaching and practice will be closely integrated, and individual assistance will be provided as needed.
Preparing Stata data sets. Introduction to the Stata system. Data analysis and session management. Looking at Stata data sets. Sources of help. Basic commands. Modifying data, editing, recoding, checking and tidying. Stata do-files (syntax files). Generating new variables. Inputting data into Stata. Introduction to Stata graphics. Outputting results to Word, etc. Handling strings and dates.
Starting the analysis. Initial univariate analysis: frequency distributions, exploratory data analysis. Initial bivariate analysis: cross-tabulations, correlations, t-tests and analysis of variance. Developing scales and indices: summated scales, factor analysis, alpha coefficient. More graphics including scatterplots, boxplots.
Regression analysis. Introduction to regression analysis: ordinary least squares. Checking assumptions with regression diagnostics. More graphics including regression diagnostics. Basic introduction to logistic regression and Poisson regression. Analysis of survey data. Introduction to sampling for surveys. Weighting observations.
We have simplified our fee structure to make it easier to show up front. We no longer have an earlybird period, and the fees for this course are simply:
Course notes will be supplied. No specific references are suggested, although participants are encouraged to bring any Stata documentation they may have. For an overview of the Stata package, please visit http://stata.com.