The development of information technologies is changing the possibilities of not only quantitative but also qualitative social research methods. Modern software helps qualitative researchers to collect information and data, transcribe video and audio recordings, organise and analyse the various types of material (textual, visual and audio) collected. One of the main such software packages is MAXQDA (for more information see www.maxqda.com), which offers the possibility to integrate quantitative and qualitative methods of data analysis and to present the results of the analysis in different ways. The training is aimed at researchers who want to get started with MAXQDA. The training is interactive and builds practical skills. After the training you can start working independently with MAXQDA.
The basics of coding and categorising data, including creating codes and categories, applying codes to data and managing codes and categories. Importing and managing data from different sources. Prepare reports and export data, create tables, graphs and presentations. Apply data analysis techniques: content and thematic analyses, etc. Use MAXQDA visual tools to display and analyse data, such as word clouds, charts and tables.
phone: +370 673 61133
email giedrius.zvaliauskas@ktu.lt
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.
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.
Vilma Sukackė is an associate researcher at the Centre for Data Analysis and Archiving, Faculty of Social Sciences, Humanities and Arts, KTU, a lecturer, editor of the scientific journal "Information Technologies and Management" and a doctoral candidate in KTU Education. Research interests: technology-enriched learning, research methods and sociolinguistics. She teaches the following modules to Bachelor and Master students: Social Network and Media Analysis, Computer Assisted Qualitative Research Methods, Introduction to Research Methods, and Contemporary Educational Systems and Technologies. Vilma is registered as one of the MAXQDA Professional Lecturers in the MAXQDA Lecturers' Network from 2020. Vilma organises seminars and workshops on research methods, computer-assisted data analysis, academic writing and technology-enriched teaching in Lithuania and abroad. She organises trainings and events aimed at developing the competences and networking of lecturers and PhD students.
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 designed to provide knowledge and skills in the application of statistical methods for the analysis of quantitative data
Distance learning / On-campus learning / 40 ac. hrs.
K. Donelaičio St. 73
44249 Kaunas, Lithuania
phone: +370 (671) 36 146
email mvg@ktu.lt
