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Member rate £492.50
Non-Member rate £985.00
Save £45 Loyalty discount applied automatically*
Save 5% on each additional course booked
*If you attended our Methods School in the last calendar year, you qualify for £45 off your course fee.
The course is an add-on to content-based courses. It introduces how Stata works and how it can be used to conduct descriptive, bivariate and multivariate analyses. The course does NOT give detailed insight into statistical techniques or modelling.
By the end of this course, you will be able to use basic Stata commands, and understand 'how Stata does things' well enough to use it for your own analyses.
This course cannot cover all Stata commands and procedures, but will focus on frequently used methods. However, since the basic logic is similar for all Stata commands, you will be able to transfer the knowledge gained to your own project.
1 credit (pass/fail grade). Attend at least 90% of course hours, participate fully in in-class activities, and carry out the necessary reading and/or other work prior to, and after, class.
Diana is a research fellow on the ORA projekt Pathways. She is also Deputy Women's Representative of the Social Sciences faculty at the University of Bamberg, and a Mentee on the feRNet program at the Chair of Sociology (Social Stratification).
Her research interests include processes of migration and integration, social inequality, and quantitative methods.
This course is suited to students who have no experience with Stata, but who bring in basic statistical skills, e.g. some knowledge of descriptive, bivariate and multivariate statistics.
Its aim is to show how Stata can be best used to conduct statistical analyses. Stata relies strongly on the command line interface. Thus, the course gives an insight to general construction of Stata code (syntax). The instructor and teaching assistant will help you to write clear and parsimonious Stata commands, and improve do-files and do-file documentation.
You will learn to use do-files as a simple lab-book, where annotations and ideas can be recorded in addition to the raw code, and to facilitate replicable analyses.
First, we introduce the software package:
To demonstrate, we give an applied overview of the various screens and windows.
We then move on to data management (importing and exporting data from various sources, recoding variables and labels, generating new variables), uni- and bivariate statistics.
On Saturday morning, we will cover the basics of regression models.
Depending on the specific interests of participants, the Saturday afternoon session will focus on more advanced topics, such as variations of regression models (e.g. logistic regression), graphs and tables of results, and loops and macros.
This course introduces standard statistical procedures in Stata. It does not give detailed insight into the statistical procedures and underlying mathematics.
Day | Topic | Details |
---|---|---|
Friday | Introduction: Stata windows, basics of syntax, a first look at a dataset, importing data |
|
Saturday morning | Basics of regression |
|
Saturday afternoon | Regression models |
Depending on the interest of the participants, session may contain (but cannot cover all of the topics):
|
Day | Readings |
---|---|
Friday |
Kohler/Kreuter, Data Analysis Using Stata, Third Edition Chapters 1-5, 7, 11 |
Saturday morning |
Kohler/Kreuter, Data Analysis Using Stata, Third Edition Chapter 9 |
Saturday afternoon |
Will be announced depending on choice of participants |
Stata, version 12 or higher.
ACOCK, A. C. 2016. A Gentle Introduction to Stata, Fifth Edition, College Station, Tex, Stata Press.
KOHLER, U. & KREUTER, F. 2012. Data Analysis Using Stata, Third Edition, College Station, Tex, Stata Press.
LONG, J. S. 2009. The Workflow of Data Analysis Using Stata, College Station, Tex, Stata Press.
MITCHELL, M. N. 2010. Data Management Using Stata: A Practical Handbook, College Station, Tex, Stata Press.
MITCHELL, M. N. 2012. A Visual Guide to Stata Graphics, Third Edition, College Station, Tex, Stata Press.
POLLOCK, P. H. 2015. A Stata Companion to Political Analysis, Third Edition, Washington, D.C, CQ Press College.