This training is designed for researchers in the social sciences and humanities, as well as anyone interested in learning how to use the open-source statistical computing environment R and its graphical user interface R Commander. R and R Commander are widely used free tools for quantitative data analysis. During the course, participants will gain hands-on experience with importing, cleaning, visualising, and analysing data using both R and R Commander. Emphasis is placed on interactive learning and practical application, enabling participants to independently carry out basic statistical analyses after completing the course.
phone +370 676 92 702
email ineta.simonaite@ktu.lt
"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."
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.
K. Donelaičio St. 73
44249 Kaunas, Lithuania
phone: +370 (671) 36 146
email mvg@ktu.lt