Social media is often seen by researchers as a treasure trove of naturally occurring data. Research-based on the analysis of social media data has become very popular in recent decades. Various tools can be used to automatically collect data from social media such as Twitter and Youtube, manually or automatically encode it, analyse it at different scales and display the results in different types of figures and tables. One such tool is the increasingly popular MAXQDA software, which is used worldwide for qualitative and mixed-methods research. In this training, you will learn about and practice extracting (automated), coding (automated and traditional), analysing and displaying data from social media. We recommend that you take the "Qualitative data analysis with MAXQDA: introductory level" training beforehand.
Import data from Twitter and Youtube and prepare it for analysis. Apply data analysis techniques such as content and thematic analysis, etc. Use MAXQDA visual tools to display data and produce reports.
phone: +370 673 61133
el. p. giedrius.zvaliauskas@ktu.lt
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.
The training is designed for beginners working with the qualitative data analysis software MAXQDA
Distance learning / 8 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 / 40 ac. hrs.
K. Donelaičio St. 73
44249 Kaunas, Lithuania
phone: +370 (671) 36 146
email mvg@ktu.lt
