The aim of the course is to provide you with knowledge of statistical methods for analysing quantitative data so that you can apply them in your own research. You will develop your ability to understand sampling techniques, to understand and apply descriptive and inferential statistics and statistical criteria, as well as linear, regression and path analyses, structural equation modelling and time series analysis.
Distinguish between basic statistical concepts, data collection, analysis and interpretation. Evaluate the statistical significance and confidence intervals. Construct representative samples for a study. Measure the correlation between two variables. Use statistical criteria. Use linear regression to predict one variable based on the trend of another variable. Apply logistic regression. Identify linear relationships between variables using path analysis. Develop a mathematical model using structural equations. Use time series analysis to predict a certain phenomenon in the future.
phone: +370 673 61133
el. p. 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. Vytautas Janilionis is a member of the research group "Artificial Intelligence, Data Analytics and Modelling" of the Faculty of Mathematics and Natural Sciences of KTU and an associate professor of the Department of Applied Mathematics. He teaches the following study modules: "Multivariate Statistical Analysis Models", "Methods of Big Data Mining", "Statistical Methods in Social Research" at the Master's and PhD level. He has more than 30 years of experience in conducting research projects related to statistical analysis of data, teaching various data analysis courses and using SAS, SPSS and R software. Since 2001 he has been a member of the Board of the Lithuanian Statisticians' Union and since 2003 a member of the Board of the Lithuanian Mathematical Society.
K. Donelaičio St. 73
44249 Kaunas, Lithuania
phone: +370 (671) 36 146
email mvg@ktu.lt
