Application of Quantitative Data Analysis Methods

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About this course

Description
Teachers

Description

About this course

This course is intended for researchers, academics, doctoral students and professionals who want to strengthen their knowledge and skills in statistical data analysis. Participants will explore sampling techniques, descriptive and inferential statistics, statistical significance, correlation analysis, linear and logistic regression, path analysis, structural equation modeling and time series forecasting. Emphasis is placed on practical application, interpretation of results and methodological competence. The course content is relevant for conducting quantitative research in academic, scientific and applied contexts.

You will learn:

to distinguish key statistical concepts and stages of data analysis;
to construct representative research samples;
to evaluate statistical significance and confidence intervals;
to apply statistical tests in quantitative analysis;
to measure correlation between variables;
to use linear and logistic regression for prediction;
to perform path analysis to identify linear relationships;
to build structural equation models;
to apply time series analysis for forecasting future trends.

Have questions?

Simonaitė Ineta

phone +370 676 92 702
email ineta.simonaite@ktu.lt

Start date:

Duration: 40 ac. hrs.

Language: Lithuanian Lithuanian

Price: 120 Eur

Method of organisation: Distance learning, On-campus learning Distance learning, On-campus learning

Skill area: Digital transformation

Certificate: Issued

Teachers

Vosylis Rimantas

Morkevičius Vaidas

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.

Janilionis Vytautas

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.