On March 6 and March 13, 2026, NIIE Institute – Nguyen Tat Thanh University organized the workshop “Quantitative Analysis Using SPSS Software”, attracting strong participation from final-year economics students currently working on their graduation theses.
This annual academic activity aims to enhance the quality of graduation theses while helping students develop a systematic research mindset. Through the workshop, students not only gained exposure to widely used quantitative data analysis methods in scientific research, but also became better prepared for completing their theses and for their future career journeys.
Supporting Students on Their Research Journey
The workshop featured instruction from Mr.Vu Nhat Phuong, MBA and Ms.Tran Hoang Cam Tu, MBA, two experienced lecturers with many years of teaching and supervising graduation theses. Drawing from their extensive practical experience, they provided valuable and practical insights, helping students better understand the data analysis process as well as how to present research findings in a scientific and structured manner.
In addition, the program welcomed Dr. Nguyen Manh Hoang – Vice Director of NIIE Institute as a guest speaker. In his opening remarks, he emphasized the critical role of research thinking and data analysis skills in today’s context, while encouraging students to make the most of the workshop to improve their thesis quality and strengthen their academic capabilities.
Workshop Content: From Data Processing to Research Analysis
The workshop was designed with a combination of theoretical knowledge and hands-on practice, enabling students to directly apply what they learned to their own research datasets.
During the first session, students were guided on coding and cleaning survey data, a crucial step before conducting statistical analysis. Transforming survey responses into numerical data allows statistical software to process information more accurately and efficiently.
Students were then introduced to descriptive statistics methods, including how to create data tables, calculate frequencies and percentages, and present data using appropriate charts to illustrate research findings. These skills help students gain a clear overview of their dataset and research sample structure.
In the second session, the content focused more deeply on quantitative analysis techniques using SPSS, including reliability testing with Cronbach’s Alpha, Exploratory Factor Analysis (EFA), and how to interpret outputs generated by the software. These are essential components in ensuring the scientific validity and reliability of research.
Additionally, students were introduced to more advanced analyses such as Pearson correlation and multiple regression, helping them better understand how to test research hypotheses and interpret results in their theses.
A key highlight of the workshop was the hands-on practice using each group’s own dataset, allowing students to immediately apply theoretical knowledge to their actual research projects.
Value Gained by NIIE Students After the Workshop
Through this workshop, NIIE students not only acquired technical skills in data processing and analysis, but also developed the ability to build structured research arguments, present findings according to scientific standards, and interpret data logically.
More importantly, these quantitative data analysis skills are not only useful for graduation theses but also serve as a strong foundation for future careers. In an era where businesses increasingly value data-driven thinking, the ability to analyze, interpret, and make decisions based on data has become an essential competency for modern professionals.
Through academic activities such as the SPSS workshop, NIIE Institute continues to affirm its educational philosophy of “learning through practice”, and ensuring that students are not only academically prepared but also ready to enter the workforce with strong knowledge and practical skills.
