SPSS & Scientific Research Methodology
About the course
Through the “SPSS and Scientific Research Methodology” training, participants learned how to design and conduct research, from defining hypotheses to data analysis and result interpretation.
The course was not just a technical guide to SPSS but also focused on developing methodological skills, ensuring that participants understood how to properly formulate research questions, select appropriate methods, and interpret results in academic and professional papers.
Target audience
This training was designed for:
- Master’s and PhD students who use statistical analysis in their research
- Researchers and university lecturers seeking a deeper understanding of scientific research methodology
- Professionals in social sciences and economics who apply statistics for decision-making
I designed this training based on my extensive experience in academic research and data analysis. Throughout my work at the university and various projects, I have used SPSS in a scientific research context and have helped students and researchers master quantitative methods.
In addition to academic courses and individual training, I have also conducted SPSS training as in-house education for organizations such as the National Tourism Organization of Montenegro and the Judicial Council of Montenegro, tailoring the content to the specific professional needs of participants.
Course Structure – From Basics to Advanced Data Analysis
Data analysis is not just a series of numbers and formulas – it is a way to understand the world through data. This course was designed to provide participants with a comprehensive guide through the research process, from formulating questions to interpreting results.
The course was divided into six modules, each covering a key phase of the research process:
- Fundamentals of Scientific Research Methodology – What makes a good research question? How to formulate a hypothesis? Which methodology to choose?
- Working in SPSS – Data entry, defining variables, and first steps with the software.
- Basic Statistical Analysis – How to identify patterns in data using descriptive methods?
- Associations and Predictions – Correlations, regression analysis, and what data reveals about relationships between variables.
- Group Differences – Which test to use when comparing two or more groups?
- Result Interpretation – How to write a valid scientific report based on obtained results?
Through practical exercises and real datasets, participants learned not only how to use SPSS but also how to properly interpret numbers and draw conclusions from them.
Course organization
This course was not a traditional theoretical training – the lessons were interactive and tailored to the needs of participants. The focus was on a combination of lectures, practical tasks, and discussions, ensuring that every participant could apply the acquired knowledge in practice.
- Hybrid Learning Model – The course was conducted in a classroom setting, but participants could also join online via Zoom.
- E-learning Support (Moodle LMS) – Every session was recorded, and participants had access to lectures, additional materials, and assignments.
- Interactive Exercises and Real Data Analysis – Participants worked with datasets from real research, simulating how they would process their own data.
- Flexibility in Learning – Everyone could learn at their own pace by attending live sessions or following recorded lectures on the LMS platform.
This approach provided a personalized learning experience, accommodating participants regardless of their prior knowledge of statistics and research methods.
Learning outcomes
The ultimate goal of the course was to ensure that participants became confident in working with SPSS and statistical analysis, while also developing research-oriented thinking to support their academic and professional work.
- Independence in SPSS Usage – Data entry, analysis, and visualization.
- Ability to Formulate Research Questions and Hypotheses – How to properly define a research study?
- Application of Appropriate Statistical Methods – When to use a T-test, ANOVA, or regression?
- Interpretation of Results – How do statistical data translate into concrete conclusions in academic papers and research?
This course empowered students, researchers, and professionals to confidently analyze data and apply their knowledge in their projects and academic work.