Day 1 to Day 5 FDP Programe
The five-day event covered topics
D ata analytics is reshaping the world, whether in business, sports or our everyday activities. When making critical business choices, today’s largest and most successful firms leverage data to their advantage. Data Analytics or Big data is defined as vast amounts of information systems that can be analysed and used to provide valuable insights which in turn can assist organisations to make better decisions. Cognitive computing, for example, analyses data to simplify in-office procedures and operations in both the public and private sectors, according to a recent study. In addition, big data applications may be utilised to improve the entire management of a company’s operations. As we acquire access to an expanding amount of information on a daily basis, the necessity for organisations to comprehend and analyse data becomes increasingly critical. As a result, technology development organisations are developing improved tools that businesses may employ to collect, analyse and utilise research data for their operations.
There is little doubt that data has become increasingly important in business, education and all sectors of science throughout the years. This reliance has grown to such an extent that it is no longer feasible to comprehend social and health science research without having a solid understanding of statistics and at the very least a basic comprehension of statistical software programmes.
A five-day virtual national level Faculty Development Program (FDP) on Statistical Analysis in Research Using SPSS was held from October 4 to October 8, 2021, at JAIN (Deemedto-be University), School of Commerce - Samshodhana (Faculty Research Cell) in New Delhi. This FDP sought to assist participants to hone their analytical abilities through the use of SPSS (Statistical Package for Social Sciences). The program framework addressed all significant areas of statistical data analysis, including data preparation, data purification, inferential statistical techniques and the theoretical features that underpin those approaches.
The five-day event covered topics such as using SPSS for data analysis and interpretation, applying fundamental statistics concepts to hypothesis testing, uncovering the fundamentals of research methodology and the nature of data, and analysing eligibility criteria when selecting an appropriate statistical technique. Captain Dr. Sunil Goyal, Professor and Head of Department, Social Sciences Government College, Anjad, Devi Ahilya University, and Professor Saurabh Agarwal, Consultant for IBM and the United Nations Educational, Scientific and Cultural Organization (UNESCO) for Business Analytics, were among the eminent guest speakers.
Day 1 - Research Hypothesis – Significance and Framing by Dr. Sunil Goyal
Dr. K V N Lakshmi and Dr. Pooja Kumari served as the session’s moderators and hosts. Dr. Sunil Goyal, the session’s keynote speaker, was greeted by the hosts and the other participants. The participants were given an overview of the broad criteria that needed to be followed in order for the session to go smoothly. The thought-provoking seminar covered all the important areas of hypothesis development in detail. The speaker provided an overview of the theory, including its significance and justification. He also talked at length on the hypothesis’s properties, functions, categories, and sources of information. The formulation of hypotheses and the challenges associated with this process were also highlighted.
Day 2 - Statistical Data Collection by Dr. Sunil Goyal
Dr. Naveen Kumar M S welcomed the participants, as well as the speaker, before ceding control of the session to Dr. Sunil Goyal. The speaker introduced the audience to the various types of data sources, how they are gathered, and why they are important. The benefits and drawbacks of using primary and secondary data were examined in detail. Among the topics covered were the differences between qualitative and quantitative research, as well as the ramifications of these differences for variable selection. The meaning and importance of data sources, the definition of data, the nature of primary data or sources, the meaning and definition of second-hand data, secondary data sources at the national and international level, the advantages and disadvantages of second-hand data, and the usefulness and selection of digital data were among the topics covered.
Day 3 - Measurement and Scaling Techniques by Dr. Sunil Goyal
Doctor K. V. N. Lakshmi opened the session with a brief greeting INSIDE CAMPUS 10 | AVENTURE | January, 2022 to all of the attendees and the speaker, followed by a question and answer session. The key objective of the third-day session was to help participants comprehend variables and the various types of variables, as well as the operationalization and measurement of variables, as well as the different scales of variable measurements. The significance of choosing the most relevant variable, as well as the numerous strategies for doing so, were discussed. The speaker also mentioned about the caution to be taken while choosing the variables and the significance of the intervening variable was discussed in detail. The variables ordinal, nominal, interval, and ratio were clearly defined and discussed in detail.
Day 4 - Hypothesis Testing Using SPSS, T-Test, and Factor Analysis by Professor Saurabh Agarwal
Doctor K. V. N. Lakshmi opened the session with a brief greeting INSIDE CAMPUS 10 | AVENTURE | January, 2022 to all of the attendees and the speaker, followed by a question and answer session. The key objective of the third-day session was to help participants comprehend variables and the various types of variables, as well as the operationalization and measurement of variables, as well as the different scales of variable measurements. The significance of choosing the most relevant variable, as well as the numerous strategies for doing so, were discussed. The speaker also mentioned about the caution to be taken while choosing the variables and the significance of the intervening variable was discussed in detail. The variables ordinal, nominal, interval, and ratio were clearly defined and discussed in detail.
Day 5 - Regression and Correlation Analysis Using SPSS by Professor Saurabh Agarwal
Dr. Pooja Kumari extended a warm welcome on the final day of the workshop to all of the participants and the session’s featured speaker. The lecturer demonstrated about using SPSS to assess the validity of a questionnaire to the audience members in attendance. He provided a hands-on example of how to conduct an exploratory factor analysis and how to assess the reliability of the results using Cronbach’s alpha. He further discussed about correlation and demonstrated how to create a correlation matrix in SPSS. A discussion of how to perform Linear Regression in SPSS was also included in this session, while the aspects of structural equation modelling and AMOS analysis were also discussed by the speaker.