The training will introduce to principles of variable description, univariate and bivariate quantitative data analysis with IBM SPSS. The univariate analysis section introduces the use of dispersion and other univariate statistics with IBM SPSS. The bivariate analysis section introduces comparison of means, measures of association and correlation analysis.
Use IBM SPSS software for variable preparation, data entry and descriptive statistics tasks. Select and apply appropriate univariate and bivariate data analysis techniques, including comparison of means and correlation. Select appropriate data visualisation techniques and produce data visualisations with IBM SPSS.
phone: +370 673 61133
email giedrius.zvaliauskas@ktu.lt
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. 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. Aistė Balžekienė is a professor of sociology and principal investigator at the research group "Civil Society and Sustainability" at the KTU Faculty of Social Sciences, Arts and Humanities. Research interests: sociology of risk and environment, social impact of technology, social perception of climate change, and methodology of social sciences. She is a resident of the International Sociological Association (ISA) Thematic Group TG04 "Sociology of Risk and Uncertainty", member of the Boards of the Society for Risk Analysis Nordic Chapter, and of the European Sociological association (ESA) Research Group RN22 "Sociology of Risk and Uncertainty". She teaches quantitative and qualitative research methods and has published on methodological issues in international survey research on risk perception. She has participated in the implementation of international comparative research in Lithuania: the European Social Survey (ESS) and the International Social Survey Programme (ISSP).
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.
The training is designed for those who want to acquire knowledge and skills in the field of conducting high quality research in the field of design
Distance learning / On-campus learning / 16 ac. hrs.
K. Donelaičio St. 73
44249 Kaunas, Lithuania
phone: +370 (671) 36 146
email mvg@ktu.lt
