The training is designed for beginner and advanced researchers seeking to increase their competence in social science research data planning and management. In this training, participants are introduced to the basic concepts and practical challenges of social research data management. Lecturers present the CESSDA ERIC Data Management Guide and its main subtopics. The training includes practical assignments with discussions of the challenges in their solutions.
Training participants will improve their competencies in planning and managing social science research data (both beginners and advanced researchers). Participants will gain knowledge about the basic concepts of social research data management, practical challenges and possible solutions. Lecturers will present the Data Management Guide developed by CESSDA ERIC and its most important subtopics. The training will present practical assignments and discuss the challenges of solving them.
phone:
email giedrius.zvaliauskas@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.
Dr. Audronė Telešienė is Professor of Sociology and Head of the Data Analysis and Archiving (DAtA) Centre (Faculty of Social Sciences, Humanities and Arts, KTU). Her research interests include environmental behaviour and attitudes, social perception and communication of climate change, social welfare studies and social research methods. Her research uses systematic literature analysis alongside other qualitative and quantitative methods.
Training provides knowledge on how to use qualitative data analysis techniques to analyse social media
Distance learning / On-campus learning / 4 ac. hrs.
The training is intended for researchers from the fields of social sciences and humanities wishing to start working with the R software for statistical computing and graphics
Distance learning / On-campus learning / 8 ac. hrs.
The training is designed for researchers in the social sciences and humanities who want to get started with the statistical computing software IBM SPSS.
Distance learning / On-campus learning / 8 ac. hrs.
K. Donelaičio St. 73
44249 Kaunas, Lithuania
phone: +370 (671) 36 146
email mvg@ktu.lt
