GESIS Training Courses

Wiss. Koordination

Dr. Nora Skopek
Tel: +49 621 1246277

Administrative Koordination

Claudia O'Donovan-Bellante
Tel: +49 621 1246221

Techniques of Quantitative Data Visualization in the Social Sciences

Prof. Moris Triventi, PhD

Datum: 05.09 - 07.09.2017 ics-Datei

Veranstaltungsort: B2,8 Mannheim / Sprache: Englisch


Data visualization is central to social scientific work. Graphical representations are powerful instruments for identifying, making sense and communicating patterns in research based on quantitative data. Despite the appeal and usefulness of graphical representations in social research is increasingly recognized, many researchers are still reluctant to incorporate visualization as a central element of their analytical toolbox and research workflow.
This seminar is organized as follows. First of all, I will introduce the topic of data visualization, its relevance, the main principles for drawing good graphs and the most common errors to be avoided. Numerous examples from prominent academic publications will be presented and discussed. Second, a variety of graphical representations of quantitative data will be introduced, according to the specific research question and the types of variables involved in the analysis. Third, I will present the main features and utilities available for data visualization in Stata, a statistical software commonly used by social scientists. We will focus on in-built available commands as well as user-written routines, which widely expand the software s capabilities for producing effective visual representations without much programming effort.


The objective of the seminar is to introduce applied social researchers to the use of visualization and graphical representation of statistical data in the various stages of the research process, including: 1) data exploration and inspection; 2) univariate and bivariate analysis; 3) model diagnosis; 4) effective and meaningful presentation of results from multivariate statistical models.


Since the focus of the workshop is applied, participants are encouraged to bring their own data and visualization problems, which will be used and discussed in practical sessions during the workshop.



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