Analyzing the Factor Structure and Sleep Quality of Pittsburgh Sleep Quality Index in Indian Information Technology Sector

The Pittsburgh Sleep Quality Index (PSQI) has gained widespread acceptance as a useful tool to measure sleep quality. In order to formulate the diagnosis process, it is essential that we understand the factor structure inherent in the PSQI data. In this work, we seek to estimate such a structure with a focus on the Indian Information Technology (IT) workers. We have used Confirmatory Factor Analysis (CFA) and the Exploratory Factor Analysis (EFA) for this purpose. Instead of using random imputation to handle the frequently occurring missing values, we have used more sophisticated techniques thereby improving the accuracy of our results. We have also used the Multi layer perceptron based method to see how we can classify the sleep quality of the sampled population. We have discovered that, contrary to the general perception, most Indian IT employees have sleep quality belonging to good and very good classes. Author summaryArindam Chatterjee - Curently Assistant Professor of Computer Science and Engineering, Heritage Institute of Technology, Kolkata. Arindam has almost 16 years of teaching and research experience. In past he has worked in the industry for eight years. Area of academic interest is Impact of Information Technology on Indian Financial and Social sectors. Rimu Chaudhuri -Currently Professor of Economics, Heritage Business School, Kolkata. Rimu is having teaching experience of almost 16yrs and research experience of 20 yrs. Area of academic / research interest is Entrepreneurship Development and for last couple of years Rimu is working in the field of Gender and Environment Sustainability. Last couple of years Rimu has worked extensively on Social Impact of IT. Rimu is also the President of Institutions Innovation Council of Heritage Business School. Arijit is a software engineer at Bloomberg LP, with a Masters degree in Computer Science from the University of Florida. He specializes in creating and maintaining low-latency, high-performant, and robust backend applications. Arijit has a keen interest in Distributed Systems and Software Development. Currently, he contributes his expertise to the ESG (Environmental, Social, and Governance) sector, managing proprietary datasets and developing services that handle millions of requests per day. His work ensures efficient and reliable data management in a high-demand environment.