Analysis of European Social Survey Data with STATA

 

About this course

About this course

The seminar introduces STATA software using the European Social Survey data.

 

You will learn:

Learning outcomes include the introduction and development of skills using STATA software and European Social Survey data. Participants will gain knowledge and skills in using the STATA software to analyse data from the European Social Survey.

 

ŽVALIAUSKAS Giedrius

phone:
el. p. giedrius.zvaliauskas@ktu.lt

Start date: Upon request
Duration: 4 ac. hrs.
Language: English, Lithuanian
Price: Free
Method of organisation: Distance learning / On-campus learning
Skill area: Advanced technologies, Digital transformation
Certificate: Issued

RAULECKAS Rimantas

Dr. Rimantas Rauleckas is Associate Professor at the Centre for Data Analysis and Archiving, Faculty of Social Sciences, Humanities and Arts, KTU. His research area is Public Governance, and his main taught module is Social Research Methods. His research applies statistical analysis methods to survey data. As a co-author, he has contributed to the development of training material on statistical analysis of quantitative data.

MORKEVIČIUS Vaidas

Dr. Vaidas Morkevičius is an associate researcher at the Centre for Data Analysis and Archiving, Faculty of Social Sciences, Humanities and Arts, KTU, and a professor in the research group "Civil Society and Sustainability", Faculty of Social Sciences, Humanities and Arts, KTU. His research interests include: political communication, attitudes and behaviour of citizens and elites, social structure and inequality, social research methods. With Zenonas Norkus, he published the textbook "Qualitative Comparative Analysis" in 2011. Since 2002 he has taught various research methods courses at KTU, VMU and ISM. From 2008-2018 he was the National Coordinator of the European Social Survey in Lithuania. As a co-author, he has contributed to the development of statistical analysis of quantitative data and computer-assisted qualitative data analysis training materials. He has more than 15 years of experience in training and consulting on quantitative data analysis software.

 

Skill areas

Digital transformation
sustainable development
advanced technologies
entrepreneurship and innovation
personal development and leadership
 

Contacts

K. Donelaičio St. 73
44249 Kaunas, Lithuania
phone: +370 (671) 36 146
email mvg@ktu.lt