Skill Session on SPSS for ABRP

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The Skill Enhancement Session on SPSS for Analytical Based Research Project (ABRP) was successfully conducted on 14th February 2026 from 9:30 AM to 12:00 PM for third-year BBA students at CHRIST (Deemed to be University), Pune Lavasa Campus. This session was organized by the School of Business and Management (BBA) and Centre for Academic & Professional Support (CAPS), to equip students with introductory knowledge and skills in data analysis using IBM SPSS Statistics, an essential tool for their Analytical Based Research Projects. The session witnessed an overwhelming participation of over 200 students, reflecting the importance of research-oriented skill development in the academic curriculum. The event was coordinated by Ms. Mansha Sawal and Ms. Nisha.

 The session was conducted by Ms Mansha Sawal, who provided a comprehensive introduction to SPSS and its application in academic research. The session began with an overview of the importance of data analysis in research and how SPSS serves as a powerful statistical tool for managing, analyzing, and interpreting data. The speaker emphasized the relevance of SPSS in conducting quantitative research, particularly for projects like ABRP, where students are required to analyze primary or secondary data and derive meaningful insights. 

The session then moved into a hands-on demonstration of the software interface. Students were introduced to key components of SPSS, including the Data View and Variable View, which are essential for data entry and management. The speaker explained how to define variables, assign labels, and input data accurately. Special attention was given to data coding, handling missing values, and preparing datasets for analysis, which are critical steps in ensuring the reliability and validity of research findings. 

Further, the session covered essential statistical techniques commonly used in undergraduate research. Students were guided through descriptive statistics such as mean, median, mode, and standard deviation, which help summarize and understand data patterns. The speaker also introduced basic inferential statistical tools, including correlation and regression analysis, explaining how these techniques can be used to identify relationships between variables and test research hypotheses. Practical examples were used to help students understand how to interpret SPSS output tables and translate them into meaningful conclusions for their research reports. 

A significant part of the session focused on the application of SPSS in the context of ABRP. The speaker explained how students can align their research objectives with appropriate statistical tools and select the right tests based on the nature of their data. Guidance was also provided on presenting results in a structured format, including tables, charts, and graphs generated through SPSS, which enhances the quality and clarity of research reports.The interactive nature of the session encouraged students to clarify their doubts and engage actively with the concepts being discussed. The practical demonstration and real-time explanations helped simplify complex statistical concepts, making them more accessible to students with limited prior exposure to data analysis tools. 

The session proved to be highly beneficial in strengthening students’ research capabilities. It provided them with a solid foundation in using SPSS for data analysis and equipped them with the necessary skills to handle their Analytical Based Research Projects with greater confidence. The session not only enhanced technical competence but also encouraged students to adopt a more analytical and data-driven approach in their academic work, thereby contributing to their overall academic and professional development.

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