Secondary Quantitative Data Analysis

About this course

Description
Teachers

Description

About this course

This training programme is intended for researchers in the social sciences and humanities, as well as anyone interested in acquiring theoretical and practical knowledge of secondary quantitative data analysis. Participants will explore the concept and principles of secondary data analysis, learn to work with survey datasets and apply data analysis tools such as NESSTAR and SPSS. The course develops skills to perform independent statistical analysis, apply various methods and interpret the results accurately. This programme provides practical competencies that are essential for using data analysis in research, project work or academic studies.

You will learn:

to explain the concept and principles of secondary data analysis;
to process secondary survey datasets for analysis;
to use NESSTAR and SPSS software for statistical analysis;
to interpret statistical results and apply them in practice;
to carry out basic computer-based data analysis independently.

Have questions?

Simonaitė Ineta

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

Start date: Organized upon forming a group

Duration: 8 ac. hrs.

Language: Lithuanian

Price: 70 Eur

Method of organisation: On-campus learning

Skill area: Other

Certificate: Issued

Teachers

Rauleckas Rimantas

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.

Balžekienė Aistė

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).

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.