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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 Summer/Winter 2024.
Thursday 28 - Saturday 30 July
10:00-12:00 and 14:00-17:00
15 hours over 3 days
In this course you will learn how to use Stata for conducting basic types of statistical analysis. The course will walk you through the typical stages of a process of empirical data analysis, from getting the data, through arranging the data in the needed formats and visualizing them, to conducting different statistical analyses and reporting the results in formats required by professional journals.
Specifically, the course includes the following components:
Oana Lup is Visiting Professor in CEU's Department of Political Science.
Her research interests include public opinion, political attitudes and behaviour, stereotypes and prejudice, political communication, social networks, quantitative research methods, and deliberative democracy and practices.
Oana has worked in various international projects such as Comparative National Elections Project, CivicActive, PIREDEU, and InTune. Her work has appeared in the Swiss Political Science Review and International Journal of Public Opinion Research.
In this course you will learn how to use STATA for conducting basic types of statistical analysis. The course will walk you through the typical stages of a process of empirical data analysis, from getting the data, through arranging the data in the needed formats and visualizing them, to conducting different statistical analyses and reporting the results in formats required by professional journals.
The course gives the participants practical, hands-on training in the use of STATA for conducting statistical analysis through a mix of examples presented by the instructor and a set of applications and exercises that the participants will solve and discuss in the class.
Although the course will present the STATA commands for conducting different types of statistical analyses and will briefly discuss their results, it will not teach the statistical theory behind these statistical methods. For example, when showing the STATA commands for conducting linear regression analysis and their results we will not cover the assumptions of the linear regression or how coefficients are calculated, although we will briefly discuss how to read the main elements of the output generated. This assumes that the participants have some basic knowledge of statistics, although the interpretation of the results will be formulated in terms that appeal to the basic intuition behind these concepts.
The participants will also learn how to use the STATA manual and help menu for writing commands that they need for conducting various statistical analyses.
The list of topics that will be covered in the course includes:
The participants to this course need to have an understanding of elementary statistics and basic knowledge of empirical research design. If you are unsure of your level of knowledge please get in touch with the instructor. No prior experience with STATA is required.
Day | Topic | Details |
---|---|---|
Thursday | Introduce the STATA working environment; Create and save data set; Data management | |
Friday | Descriptive statistics; Graphical visualization; Measures of association | |
Saturday | Hypothesis testing/t-test; Regression analysis |
STATA 12
None
Acock, Alan 2014. A Gentle Introduction to Stata, revised 4th ed. College Station, TX: Stata Press.
Pollock, Philip. 2015. A Stata Companion to Political Analysis 3rd ed. Washington DC: CQ Press.