07 Day FDP on Data Analysis Using SPSS and AMOS
Organized by: Scrollwell
Program: 07 Day Faculty Development Program on Data Analysis Using SPSS and AMOS
Date: June 16 – June 22, 2026
Time: 07:30 PM – 08:30 PM
Mode: Online via Zoom
Duration: 7 Days | 1 Hour Daily
Participants: Faculty members, researchers, PhD scholars, postgraduate students, and academic professionals
The 07-Day Faculty Development Program on Data Analysis Using SPSS and AMOS was successfully conducted by Scrollwell to strengthen participants’ understanding of statistical analysis and research data interpretation. The program was designed to help academicians, researchers, and scholars develop practical skills in handling data, applying statistical techniques, and interpreting research findings using SPSS and AMOS.
Through a structured blend of conceptual learning and practical demonstrations, participants gained hands-on exposure to various statistical tools commonly used in academic and professional research. The FDP focused on transforming raw data into meaningful insights that can support evidence-based decision-making and high-quality research outcomes.
Event Highlights
The FDP covered key statistical techniques and research analytics tools using SPSS and AMOS. It began with SPSS fundamentals, including data coding, tabulation, data cleaning, handling missing values, and dataset preparation. Next, participants explored descriptive statistics, data visualization, and normality testing. These sessions helped them build a strong foundation in data interpretation and research analysis.
The program then focused on correlation and regression analysis. Participants learned how to identify relationships among variables, develop predictive models, and interpret statistical outputs. In addition, they worked with real-time datasets to understand practical applications.
The FDP also introduced advanced techniques such as Factor Analysis and Cluster Analysis. Through practical examples and case studies, participants learned how to identify patterns within data and apply these methods in research.
Finally, the program covered Structural Equation Modeling (SEM) using AMOS. Participants learned hypothesis development, path diagram creation, measurement models, and structural models. As a result, they gained valuable exposure to advanced research techniques.
Throughout the FDP, the resource person combined theory with practical demonstrations. Moreover, interactive discussions and hands-on exercises helped participants apply the concepts confidently in their own research projects.
Participation Details
The FDP attracted participation from faculty members, researchers, doctoral scholars, and postgraduate students from diverse academic disciplines. The online format enabled participants from different institutions and regions to engage actively in the learning process.
Participants remained highly interactive throughout the program. They actively raised questions, discussed research challenges, and explored practical applications of statistical techniques within their respective domains. The collaborative environment contributed significantly to the overall effectiveness of the FDP.
Outcomes
By the conclusion of the FDP, participants developed a strong understanding of data analysis techniques using SPSS and AMOS. They gained practical knowledge of data preparation, descriptive statistics, correlation analysis, regression modeling, factor analysis, cluster analysis, and Structural Equation Modeling.
Furthermore, participants enhanced their ability to interpret statistical outputs, validate research findings, and apply analytical techniques to real-world research problems. The FDP strengthened their confidence in handling quantitative research data and using statistical tools to support academic and professional decision-making.
The program also helped participants develop a more systematic approach to research data analysis, enabling them to improve the quality, reliability, and impact of their research work.
Feedback
Participants appreciated the systematic structure of the FDP and the clarity with which complex statistical concepts were explained. Many found the practical demonstrations and real-time examples particularly valuable in understanding the application of statistical techniques.
The sessions on regression analysis, factor analysis, cluster analysis, and SEM using AMOS received notable appreciation due to their direct relevance to academic research and publication requirements. Participants also valued the interactive nature of the sessions and the opportunity to clarify research-related queries. Overall, the feedback reflected a high level of satisfaction with the program’s content, delivery, and practical relevance.
Acknowledgments
Scrollwell extends its sincere gratitude to all participants for their enthusiastic involvement and commitment throughout the program.
Special appreciation is extended to Dr. Prabal Chakraborty for sharing his expertise and guiding participants through various statistical techniques and SPSS applications. His practical insights and engaging delivery played a significant role in the success of the FDP.
We also thank the academic community for continuously supporting initiatives that strengthen research capabilities and promote evidence-based decision-making.
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