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Descriptive Quantitative Data Analysis with SPSS

This programme is designed for anyone interested in applying descriptive statistical methods and analysing quantitative data using SPSS software. Participants will become familiar with the basics of statistical analysis, learn to prepare databases, select appropriate descriptive methods, interpret results and formulate data-driven conclusions. The focus is on practical application of frequency analysis, measures of central tendency and dispersion, distribution shape and data normality, as well as effective result visualisation and justification. The training is particularly useful for those conducting surveys, evaluations or data-driven decision-making in various fields.

In this training you will learn:
  • to prepare quantitative data for analysis using SPSS;
  • to apply descriptive statistics methods in data analysis;
  • to evaluate frequency distributions, central tendency and variability;
  • to assess normality of data distribution;
  • to interpret SPSS output and formulate evidence-based conclusions.
Ineta Simonaitė

Do you have any questions?
Contact us for a consultation.

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

Certificate issued
You will receive a certificate upon completion of this course
Start date
Organized upon forming a group
Duration
12 ac. hrs.
Organiser
Centre of Data Analysis and Archiving
Faculty of Social Sciences, Arts and Humanities
Programme language
English, Lithuanian
Price
135 Eur
Method of organisation
Distance learning
Field
Professional Growth and Personal Leadership

The programme is conducted by

The programme is led by specialists in their field with practical and methodological experience. They help participants deepen their knowledge, acquire new skills, and apply them in real-life situations.

Aistė Balžekienė
Aistė Balžekienė »

Professor
Aistė Balžekienė

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).

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Organiser

Programme is developed and delivered by trusted education, science, and innovation partners.

KTU Centre for Data Analysis and Archiving logo representing expertise in data analytics, digital archiving, and information management.
KTU Faculty of Social Sciences, Arts and Humanities logo representing interdisciplinary expertise in social sciences, culture, and human development.

Contacts

Lifelong Learning Centre
K. Donelaičio St. 73, 44249 Kaunas
+370 602 44167
email: mvg@ktu.lt 

For organisations
+370 611 46902
email:  milda.guzaityte-raudone@ktu.lt 

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